On this page I will post the output of different analyses I do. Use the links below to jump to a particular analysis. I have updated the data since I wrote the acompanying material for each section, thus the acompanying material is often incorrect. Also, for this version, 2009 profiles and results (but not roll call and admits) data is included. Sorry for any inconvenience. As always, feel free to contact me if you want the code or anything.

Question: When people apply to multiple schools in the top ten, to how many do they get accepted?

Of the people who applied to X schools from the top 10
12345678910
Y schools from the top 10 accepted the applicant019/21 (90.47%)23/23 (100%)21/26 (80.76%)6/14 (42.85%)4/9 (44.44%)10/13 (76.92%)2/12 (16.66%)5/15 (33.33%)2/13 (15.38%)2/10 (20%)
12/21 (9.52%)0/23 (0%)5/26 (19.23%)6/14 (42.85%)3/9 (33.33%)1/13 (7.69%)2/12 (16.66%)3/15 (20%)3/13 (23.07%)4/10 (40%)
20/21 (0%)0/23 (0%)0/26 (0%)2/14 (14.28%)2/9 (22.22%)1/13 (7.69%)3/12 (25%)2/15 (13.33%)0/13 (0%)1/10 (10%)
30/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)0/13 (0%)2/12 (16.66%)4/15 (26.66%)0/13 (0%)1/10 (10%)
40/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)0/13 (0%)0/12 (0%)0/15 (0%)3/13 (23.07%)0/10 (0%)
50/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)1/13 (7.69%)0/12 (0%)0/15 (0%)1/13 (7.69%)0/10 (0%)
60/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)0/13 (0%)2/12 (16.66%)0/15 (0%)2/13 (15.38%)0/10 (0%)
70/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)0/13 (0%)1/12 (8.33%)1/15 (6.66%)2/13 (15.38%)2/10 (20%)
80/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)0/13 (0%)0/12 (0%)0/15 (0%)0/13 (0%)0/10 (0%)
90/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)0/13 (0%)0/12 (0%)0/15 (0%)0/13 (0%)0/10 (0%)
100/21 (0%)0/23 (0%)0/26 (0%)0/14 (0%)0/9 (0%)0/13 (0%)0/12 (0%)0/15 (0%)0/13 (0%)0/10 (0%)

I think I created the hardest to read cross-tab I have ever seen. Look at column 4, the denominator is 9. That means 9 people applied to exactly 4 schools in the top 10.
Now consider row 2, column 4, which reads 2/9 (22.22%). This means that applicants who applied to 4 schools were accepted by 2 schools 2 times out of 9.
So in the past 2 years, of the applicants my program was able to read correctly, those who applied to exactly 7 or exactly 8 schools in the top 10 got in to at least one of them.

I think that this analysis will be completely void following the 2009 round, as the fact that applicants are aware of things like this might skew things...

Below I give a shot at it for top 20 schools

Of the people who applied to X schools from the top 20
1234567891011121314151617181920
Y schools from the top 20 accepted the applicant016/24 (66.66%)11/20 (55%)12/20 (60%)5/21 (23.80%)2/13 (15.38%)5/14 (35.71%)3/16 (18.75%)4/15 (26.66%)0/12 (0%)2/15 (13.33%)2/10 (20%)3/11 (27.27%)1/5 (20%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
18/24 (33.33%)8/20 (40%)6/20 (30%)12/21 (57.14%)8/13 (61.53%)4/14 (28.57%)5/16 (31.25%)6/15 (40%)4/12 (33.33%)0/15 (0%)3/10 (30%)3/11 (27.27%)2/5 (40%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
20/24 (0%)1/20 (5%)0/20 (0%)3/21 (14.28%)1/13 (7.69%)2/14 (14.28%)0/16 (0%)2/15 (13.33%)1/12 (8.33%)0/15 (0%)1/10 (10%)0/11 (0%)2/5 (40%)1/1 (100%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
30/24 (0%)0/20 (0%)2/20 (10%)1/21 (4.76%)2/13 (15.38%)3/14 (21.42%)4/16 (25%)1/15 (6.66%)1/12 (8.33%)5/15 (33.33%)1/10 (10%)1/11 (9.09%)0/5 (0%)0/1 (0%)0/1 (0%)1/2 (50%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
40/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)2/16 (12.5%)1/15 (6.66%)4/12 (33.33%)3/15 (20%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)1/1 (100%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
50/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)2/15 (13.33%)1/10 (10%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)1/2 (50%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
60/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)1/16 (6.25%)1/15 (6.66%)0/12 (0%)0/15 (0%)0/10 (0%)1/11 (9.09%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
70/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)1/16 (6.25%)0/15 (0%)1/12 (8.33%)2/15 (13.33%)0/10 (0%)1/11 (9.09%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
80/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)1/12 (8.33%)1/15 (6.66%)2/10 (20%)1/11 (9.09%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
90/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)1/11 (9.09%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
100/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
110/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
120/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
130/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
140/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
150/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
160/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
170/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
180/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
190/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
200/24 (0%)0/20 (0%)0/20 (0%)0/21 (0%)0/13 (0%)0/14 (0%)0/16 (0%)0/15 (0%)0/12 (0%)0/15 (0%)0/10 (0%)0/11 (0%)0/5 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)

Question: What are the acceptance and rejection rates of different schools according to tm (2007 and 2008 data)?

Note: Click on top of column to sort.

#School Name # tm students accepted# tm students appliedpercentage
0Harvard 86612.12
1Chicago 235541.81
2MIT 106615.15
3Berkeley 116417.18
4Princeton 126319.04
5Stanford 155925.42
6Northwestern 245642.85
7Pennsylvania 174636.95
8Yale 197226.38
9NYU 144928.57
10California - Los Angeles 122842.85
11London School of Economics 142360.86
12Columbia 136918.84
13Wisconsin 313881.57
14Cornell 103727.02
15Michigan 255644.64
16Maryland 173943.58
17Toulouse I 1250
18Texas 213363.63
19U British Columbia 152075
20U California - San Diego 173943.58
21Rochester 111764.70
22Ohio State 132065
23Tilburg U 33100
24Illinois 101471.42
25Boston U 192867.85
26Brown U 84816.66
27U California - Davis 141877.77
28U Minnesota 61637.5
29Oxford U 4757.14
30U Southern California 4666.66
31Michigan State U 111478.57
32Warwick U 55100
33Duke U 265745.61
34U Toronto 81172.72
35Penn State U 121963.15
36U Cambridge 010
37Carnegie Mellon U 41136.36
38U North Carolina 182281.81
39Boston College 61154.54
40California Institute of Technology (Caltech) 81553.33
41Texas A&M 6875
42European U Institute 010
43U Carlos III Madrid 1250
44University College London 4666.66
45Essex 010
46Indiana 5771.42
47Johns Hopkins 92339.13
48Rutgers 4580
49Virginia 323884.21
50Vanderbilt 91656.25
51Georgetown 111861.11
52Arizona State 41040
53Arizona 8988.88
54Stockholm U 010
55U Washington 111291.66
56Queen's U 4757.14
57Iowa State U 2540
58Washington U St Louis 61442.85
59U York 33100
60U Pompeu Fabra 7887.5
61Purdue U 5862.5
62U Nottingham 22100
63U Pittsburgh 4944.44
64Stockholm School of Economics 010
65U Iowa 51145.45
66Rice U 4666.66
67U California - Irvine 6785.71
68U Florida 010
69Syracuse U 1333.33
70U California - Santa Barbara 7977.77
71U Colorado - Boulder 101566.66
72North Carolina State U 1250
73Southern Methodist U 11100
74U California - Santa Cruz 3560
75U Bocconi 11100
76U Western Ontario 2366.66
77London Business School 010
78U Kentucky 22100
79George Washington U 2366.66
80U Georgia 22100
81U Notre Dame 010
82Simon Fraser U 22100
83U Illinois - Chicago 33100
84U Oregon 3560
85U Houston 11100
86Emory U 020
87Tufts U 11100
88Georgia State U 11100
89McGill U 22100
90George Mason U 1250
91U Wyoming 22100
92Uppsala U 11100
93National U Singapore 11100
94Claremont 11100
95Delaware 66100
96Texas - Dallas 11100
97Florida State 3475
98Colorado State 33100
99Tinbergen 22100
100CEMFI 22100
101Clemson 11100
102U California - Riverside 66100
103U Connecticut 3475
104U New Mexico 33100
105U Missouri 11100
106NSF 3560
107U California - Berkeley AREC 61540
108Cornell AEM 3475
109Maryland AREC 3560
110Purdue U Agecon 11100
111North Carolina State Agecon 22100
112U Minnesota Applied 22100
113U California - Davis ARE 6966.66
114Wisconsin AAE 4757.14
115Oregon State ARE 4580
116U Florida FRED 11100
117Penn State AERS 22100
118Wharton at Pennsylvania 090

The rankings are from econphd.net, except that if no tm applicants were recorded, it was removed. Also, waitlists were thrown out.

Question: If a student X is accepted to some school A, and I assume that means he is "better" than student Y who was rejected from school A, then if I think student X has a good chance for acceptance to any school B where student Y was accepted, given a choice of school A, what schools fit into the category of school B?

An attempt to express the answer to this question can be found here

This humble analysis is still in triple-extreme beta (and the url may change if it gets completed), but might be a way to pass the time. What you see is a circle of school names. The order is expirimental, and based on geography. The graph contains information from the past two application cycles. Clicking on a school turns it blue, and turns a subset of schools red, green, and, sometimes, brown. Schools that turn green are schools that rejected an applicant which was accepted by the school you selected. Schools that turn red are schools which accepted applicants which were rejected by the school you selected. Brown is the combination of red and green, I think.

So if you select UNC, you will notice that Wisconsin turns red! That is, some applicant was rejected by UNC but accepted to Wisconsin, so if you were accepted to UNC these last few days, that means you should be optimistic about your chances at Wisconsin!(?) Looking at the regular analysis for UNC, we see that the applicant was rejected by UNC's econ program and accepted to Wisconsin's ag-econ. So, ones initial optimism is lessened somewhat.

Question: If I give you a list of schools, can you do cross tabs such as those for your top 10? That is, what are my chances of being rejected by every school I applied?

Of the people who applied to X schools from tm user Untitled's list
12345678910111213
Y schools from the TM user Untitled's list accepted the applicant056/56 (100%)31/41 (75.60%)18/34 (52.94%)11/26 (42.30%)6/18 (33.33%)8/23 (34.78%)6/27 (22.22%)6/12 (50%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
10/56 (0%)10/41 (24.39%)14/34 (41.17%)9/26 (34.61%)7/18 (38.88%)3/23 (13.04%)10/27 (37.03%)1/12 (8.33%)2/5 (40%)2/3 (66.66%)0/0 (0%)0/0 (0%)0/0 (0%)
20/56 (0%)0/41 (0%)2/34 (5.88%)5/26 (19.23%)5/18 (27.77%)7/23 (30.43%)3/27 (11.11%)3/12 (25%)1/5 (20%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
30/56 (0%)0/41 (0%)0/34 (0%)1/26 (3.84%)0/18 (0%)2/23 (8.69%)4/27 (14.81%)1/12 (8.33%)0/5 (0%)1/3 (33.33%)0/0 (0%)0/0 (0%)0/0 (0%)
40/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)3/23 (13.04%)3/27 (11.11%)1/12 (8.33%)1/5 (20%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
50/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)0/27 (0%)0/12 (0%)1/5 (20%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
60/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)1/27 (3.70%)0/12 (0%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
70/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)0/27 (0%)0/12 (0%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
80/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)0/27 (0%)0/12 (0%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
90/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)0/27 (0%)0/12 (0%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
100/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)0/27 (0%)0/12 (0%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
110/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)0/27 (0%)0/12 (0%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
120/56 (0%)0/41 (0%)0/34 (0%)0/26 (0%)0/18 (0%)0/23 (0%)0/27 (0%)0/12 (0%)0/5 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)

This is basically a vanity list (here, the one being vain is me, Untitled). I am keeping my schools private, but as you can see, I applied to 13 schools. 4 times in the past have students applied to 10 of those (never has a tm student applied to 11 or more of the 13). Of those 4 times, never has a student failed to get into any schools.

The fact that students who applied to 7, 8, and 9 of the schools on my list failed to get accepted to any of them makes me nervous. PM me if you want a similar table for the list of your choice. Please let me know if you want the list of schools included or withheld (I will withhold your username, as it isn't a part of the analyses anyway). Any errors may or may not be corrected at anytime (this is just for fun).

I can also tell you which applicants fit into which category, and show you there profile. I am assuming there will be little interest in this, but unless I think of something else to look at in the data, there isn't many other questions I'm interested in.

Question: What schools are often considered reaches by TMers?

For this question I consider each applicants list of schools and order them from highest ranked to lowest ranked. I then record the names of the three highest ranked schools and their decisions. These I call the applicants reaches. I do the same for the lowest ranked schools, which I call the safeties. For display purposes (and so sorttable works nicely), I present the data in two graphs. The first graph discusses reaches. The first three columns are the number of accepts from a school, the number of applications from a school, and the percentage of accepts to applications. Notice this is different from the list above, because before I was throwing out waitlists, but here I am not. I am doing this because when addressing admissions ratio, the stress is placed on counting rejections. Here, the stress is placed on counting acceptances.

The fourth data column addresses how often a school was the highest ranked accept in an applicants profile. I think that if this is lower than similar schools similarly ranked, then it is a sign that the school is overvalued by TMers relative to its rank.

The fifth is how often a school was a reach.

The sixth is how often the school was a reach and accepted a student.

The seventh is the percentages of reaches accepted. This is the main result of this graph; again it can show which schools are overranked/underranked in that they accept students who don't percieve themselves as being as strong, or something like that.

The eigth is the percentage of time a school was an applicants reach compared to all the times the school was in an applicants profile. Again, this shows which schools are overranked/underranked relative to applicants feelinds. It also gives some idea which schools might be recieving relatively few reach applications.

The last is the percentage of time a reaching student was accepted compared to all accepts. If an applicant is looking for a safe reach, and can't decide between two schools, this column might help.

#School Name # accepted# appliedpct acc # top acc# reach# reach acc pct reach accpct reachpct acc reach
0Harvard 8819.87 8818 9.87100100
1Chicago 236833.82 186823 33.82100100
2MIT 108212.19 38210 12.19100100
3Berkeley 117714.28 6445 11.3657.1445.45
4Princeton 128015 2371 2.7046.258.33
5Stanford 157121.12 2141 7.1419.716.66
6Northwestern 246437.5 9180 028.120
7Pennsylvania 176426.56 6173 17.6426.5617.64
8Yale 198322.89 5220 026.500
9NYU 147219.44 2190 026.380
10California - Los Angeles 123633.33 4102 2027.7716.66
11London School of Economics 143145.16 9115 45.4535.4835.71
12Columbia 137716.88 3140 018.180
13Wisconsin 314765.95 211711 64.7036.1735.48
14Cornell 105318.86 3194 21.0535.8440
15Michigan 256836.76 7123 2517.6412
16Maryland 174438.63 4104 4022.7223.52
17Toulouse I 1425 010 0250
18Texas 214151.21 9199 47.3646.3442.85
19U British Columbia 152462.5 9106 6041.6640
20U California - San Diego 174835.41 470 014.580
21Rochester 112152.38 241 2519.049.09
22Ohio State 132846.42 5105 5035.7138.46
23Tilburg U 3475 122 1005066.66
24Illinois 102147.61 484 5038.0940
25Boston U 193948.71 461 16.6615.385.26
26Brown U 85614.28 060 010.710
27U California - Davis 142070 442 502014.28
28U Minnesota 62623.07 211 1003.8416.66
29Oxford U 41136.36 020 018.180
30U Southern California 4850 011 10012.525
31Michigan State U 112152.38 396 66.6642.8554.54
32Warwick U 55100 344 1008080
33Duke U 266440.62 463 509.3711.53
34U Toronto 81844.44 554 8027.7750
35Penn State U 122842.85 221 507.148.33
36Carnegie Mellon U 41526.66 020 013.330
37U North Carolina 183060 465 83.332027.77
38Boston College 61931.57 110 05.260
39California Institute of Technology (Caltech) 81942.10 000 000
40Texas A&M 61250 221 5016.6616.66
41U Carlos III Madrid 1250 010 0500
42University College London 41040 020 0200
43Indiana 51241.66 200 000
44Johns Hopkins 92832.14 120 07.140
45Rutgers 4757.14 000 000
46Virginia 324768.08 541 258.513.12
47Vanderbilt 92045 120 0100
48Georgetown 112544 000 000
49Arizona State 41428.57 110 07.140
50Arizona 81172.72 211 1009.0912.5
51U Washington 111668.75 321 5012.59.09
52Queen's U 41625 252 4031.2550
53Iowa State U 2633.33 132 66.6650100
54Washington U St Louis 62425 021 508.3316.66
55U York 33100 000 000
56U Pompeu Fabra 71163.63 111 1009.0914.28
57Purdue U 51145.45 010 09.090
58U Nottingham 22100 000 000
59U Pittsburgh 41526.66 000 000
60U Iowa 51145.45 011 1009.0920
61Rice U 4666.66 000 000
62U California - Irvine 6785.71 300 000
63Syracuse U 1520 110 0200
64U California - Santa Barbara 7977.77 133 10033.3342.85
65U Colorado - Boulder 101662.5 332 66.6618.7520
66North Carolina State U 1714.28 020 028.570
67Southern Methodist U 11100 000 000
68U California - Santa Cruz 3650 000 000
69U Bocconi 11100 000 000
70U Western Ontario 2366.66 000 000
71U Kentucky 2540 000 000
72George Washington U 2366.66 000 000
73U Georgia 2540 000 000
74Simon Fraser U 2366.66 100 000
75U Illinois - Chicago 3475 000 000
76U Oregon 3837.5 121 502533.33
77U Houston 1250 000 000
78Tufts U 1250 000 000
79Georgia State U 1425 000 000
80McGill U 22100 000 000
81George Mason U 1250 000 000
82U Wyoming 2366.66 000 000
83Uppsala U 11100 000 000
84National U Singapore 11100 000 000
85Claremont 11100 000 000
86Delaware 66100 266 100100100
87Texas - Dallas 11100 000 000
88Florida State 33100 100 000
89Colorado State 3475 021 505033.33
90Tinbergen 2540 000 000
91CEMFI 22100 100 000
92Clemson 1333.33 000 000
93U California - Riverside 66100 011 10016.6616.66
94U Connecticut 3560 011 1002033.33
95U New Mexico 3560 131 33.336033.33
96U Missouri 11100 000 000
97NSF 3837.5 000 000
98U California - Berkeley AREC 61540 132 66.662033.33
99Cornell AEM 33100 000 000
100Maryland AREC 3650 022 10033.3366.66
101Purdue U Agecon 11100 000 000
102North Carolina State Agecon 22100 000 000
103U Minnesota Applied 22100 000 000
104U California - Davis ARE 6966.66 000 000
105Wisconsin AAE 4757.14 000 000
106Oregon State ARE 4580 000 000
107U Florida FRED 11100 000 000
108Penn State AERS 22100 000 000

Again, the rankings are from econphd.net, except that if no tm applicants were recorded, it was removed. Waitlists, if noticed by the program, were not thrown out.

I can't believe how much information is in this chart. I love the percentages. For instance, Wisconsin, Ohio State, and Illinois all saw between 35% and 400f their applications as reaches (data column 8), but While Wisconsin and Ohio State accept over half (77% and 67%), Illinois only accepted 57%. For these three, at least, better schools get better reachers.

Some schools are never reaches, especially Duke, where zero of 39 applicants were reaching, but also Virginia, Pittsburgh, Georgetown, Vanderbilt, Johns Hopkins, and Minnesota. These schools will need to look at their applicants especially close to find good matches, because they can't rely on their ranking to draw students.

I could go on and on, and maybe will later. Although I may have personal reasons to see Iowa State in the top 5 in the last two data columns, that is clearly an artifact of the few applicants and few applications that they sent out. This issue of not having enough data shows up in many places.

Question: What schools are often considered safeties by TMers?

For this question I consider each applicants list of schools and order them from highest ranked to lowest ranked. I then record the names of the three highest ranked schools and their decisions. These I call the applicants reaches. I do the same for the lowest ranked schools, which I call the safeties. For display purposes (and so sorttable works nicely), I present the data in two graphs. The first graph discusses reaches. The first three columns are the number of accepts from a school, the number of applications from a school, and the percentage of accepts to applications. Notice this is different from the list above, because before I was throwing out waitlists, but here I am not. I am doing this because when addressing admissions ratio, the stress is placed on counting rejections. Here, the stress is placed on counting acceptances.

The fourth data column addresses how often a school was the highest ranked accept in an applicants profile. I think that if this is lower than similar schools similarly ranked, then it is a sign that the school is overvalued by TMers relative to its rank.

The fifth is how often a school was a safety.

The sixth is how often the school was a safety and accepted a student.

The seventh is the percentages of safeties accepted. This is the main result of this graph; again it can show which schools are overranked/underranked in that they accept students who don't percieve themselves as being as strong, or something like that.

The eigth is the percentage of time a school was an applicants safety compared to all the times the school was in an applicants profile. Again, this shows which schools are overranked/underranked relative to applicants feelinds. It also gives some idea which schools might be recieving relatively few reach applications.

The last is the percentage of time a safety student was accepted compared to all accepts. If an applicant is looking for a safe safety, and can't decide between two schools, this column might help.

#School Name # accepted# appliedpct acc # top acc# safe# safe acc pct safe accpct safepct acc safe
0Harvard 8819.87 820 02.460
1Chicago 236833.82 1811 1001.474.34
2MIT 108212.19 340 04.870
3Berkeley 117714.28 610 01.290
4Princeton 128015 280 0100
5Stanford 157121.12 243 755.6320
6Northwestern 246437.5 942 506.258.33
7Pennsylvania 176426.56 641 256.255.88
8Yale 198322.89 5106 6012.0431.57
9NYU 147219.44 2144 28.5719.4428.57
10California - Los Angeles 123633.33 422 1005.5516.66
11London School of Economics 143145.16 953 6016.1221.42
12Columbia 137716.88 3196 31.5724.6746.15
13Wisconsin 314765.95 2131 33.336.383.22
14Cornell 105318.86 363 5011.3230
15Michigan 256836.76 7156 4022.0524
16Maryland 174438.63 485 62.518.1829.41
17Toulouse I 1425 010 0250
18Texas 214151.21 975 71.4217.0723.80
19U British Columbia 152462.5 974 57.1429.1626.66
20U California - San Diego 174835.41 4124 33.332523.52
21Rochester 112152.38 253 6023.8027.27
22Ohio State 132846.42 522 1007.1415.38
23Tilburg U 3475 100 000
24Illinois 102147.61 432 66.6614.2820
25Boston U 193948.71 462 33.3315.3810.52
26Brown U 85614.28 0256 2444.6475
27U California - Davis 142070 432 66.661514.28
28U Minnesota 62623.07 2133 23.075050
29Oxford U 41136.36 062 33.3354.5450
30U Southern California 4850 022 1002550
31Michigan State U 112152.38 364 66.6628.5736.36
32Warwick U 55100 311 1002020
33Duke U 266440.62 43415 44.1153.1257.69
34U Toronto 81844.44 595 55.555062.5
35Penn State U 122842.85 2157 46.6653.5758.33
36Carnegie Mellon U 41526.66 052 4033.3350
37U North Carolina 183060 487 87.526.6638.88
38Boston College 61931.57 163 5031.5750
39California Institute of Technology (Caltech) 81942.10 0147 5073.6887.5
40Texas A&M 61250 232 66.662533.33
41U Carlos III Madrid 1250 000 000
42University College London 41040 072 28.577050
43Indiana 51241.66 221 5016.6620
44Johns Hopkins 92832.14 1188 44.4464.2888.88
45Rutgers 4757.14 032 66.6642.8550
46Virginia 324768.08 52522 8853.1968.75
47Vanderbilt 92045 163 503033.33
48Georgetown 112544 01811 61.1172100
49Arizona State 41428.57 174 57.1450100
50Arizona 81172.72 264 66.6654.5450
51U Washington 111668.75 385 62.55045.45
52Queen's U 41625 2124 33.3375100
53Iowa State U 2633.33 130 0500
54Washington U St Louis 62425 0235 21.7395.8383.33
55U York 33100 022 10066.6666.66
56U Pompeu Fabra 71163.63 196 66.6681.8185.71
57Purdue U 51145.45 075 71.4263.63100
58U Nottingham 22100 022 100100100
59U Pittsburgh 41526.66 0134 30.7686.66100
60U Iowa 51145.45 0105 5090.90100
61Rice U 4666.66 054 8083.33100
62U California - Irvine 6785.71 354 8071.4266.66
63Syracuse U 1520 141 2580100
64U California - Santa Barbara 7977.77 143 7544.4442.85
65U Colorado - Boulder 101662.5 3118 72.7268.7580
66North Carolina State U 1714.28 010 014.280
67Southern Methodist U 11100 011 100100100
68U California - Santa Cruz 3650 052 4083.3366.66
69U Bocconi 11100 011 100100100
70U Western Ontario 2366.66 032 66.66100100
71U Kentucky 2540 021 504050
72George Washington U 2366.66 032 66.66100100
73U Georgia 2540 031 33.336050
74Simon Fraser U 2366.66 132 66.66100100
75U Illinois - Chicago 3475 032 66.667566.66
76U Oregon 3837.5 142 505066.66
77U Houston 1250 021 50100100
78Tufts U 1250 021 50100100
79Georgia State U 1425 031 33.3375100
80McGill U 22100 022 100100100
81George Mason U 1250 021 50100100
82U Wyoming 2366.66 021 5066.6650
83Uppsala U 11100 011 100100100
84National U Singapore 11100 011 100100100
85Claremont 11100 011 100100100
86Delaware 66100 255 10083.3383.33
87Texas - Dallas 11100 000 000
88Florida State 33100 133 100100100
89Colorado State 3475 032 66.667566.66
90Tinbergen 2540 052 40100100
91CEMFI 22100 122 100100100
92Clemson 1333.33 020 066.660
93U California - Riverside 66100 044 10066.6666.66
94U Connecticut 3560 053 60100100
95U New Mexico 3560 153 60100100
96U Missouri 11100 000 000
97NSF 3837.5 083 37.5100100
98U California - Berkeley AREC 61540 1125 41.668083.33
99Cornell AEM 33100 022 10066.6666.66
100Maryland AREC 3650 021 5033.3333.33
101Purdue U Agecon 11100 011 100100100
102North Carolina State Agecon 22100 000 000
103U Minnesota Applied 22100 022 100100100
104U California - Davis ARE 6966.66 096 66.66100100
105Wisconsin AAE 4757.14 074 57.14100100
106Oregon State ARE 4580 054 80100100
107U Florida FRED 11100 011 100100100
108Penn State AERS 22100 022 100100100

Again, the rankings are from econphd.net, except that if no tm applicants were recorded, it was removed. Waitlists, if noticed by the program, were not thrown out.

Some schools are very often safeties (these are similar to the schools that are rarely reaches). Schools who are safeties more than 50% (data column 8) include Duke, Johns Hopkins, WUSTL, Georgetown, UCL, Caltech, Pittsburgh, Penn State, Virginia, and Michigan State (with BC just missing). These schools have in common that they are solid second tier schools that are near top schools (lse and oxbridge for UCL, Caltech is clearly the also-ran in California, WUSTL, Pitt, and Penn State are a bit below the rest of the upper-midwest, Pitt, JHU, Duke, and Georgetown are a bit below the top schools on the east coast).Indiana, Vanderbilt, Rutgers, Davis, Texas A&M, and North Carolina are all solidly ranked schools that are safeties less than 300f the time, and might have been better choices.

Picky schools might rarely accept safeties (Column 7). These seem to include Boston U, Texas, WUSTL, UCSD, Pitt, Penn, Michigan, and Northwestern (all 1/3 or less). Some very good schools accept over 750f applicants who apply where that school is a safety, even though they are safety schools often, including Georgetown, North Carolina, Penn State, and Caltech. Of special note is Virginia, who accepted 16 out of 16 safeties.

Column 9 shows how strong TM is, that all TM applicants who got into such strong schools as Georgetown, JHU, Arizona State, and WUSTL considered those to be safeties. On the other hand, relatively few who got into solid second tier schools such as Boston U, Maryland, and UCSD (which is first tier in some rankings) saw those schools as safeties (all had the percent of acceptances which were safeties at or below 20%).

Question: What schools are often considered reaches by TMers (using US News and World Report rankings)?

For this question I consider each applicants list of schools and order them from highest ranked to lowest ranked. I then record the names of the three highest ranked schools and their decisions. These I call the applicants reaches. I do the same for the lowest ranked schools, which I call the safeties. For display purposes (and so sorttable works nicely), I present the data in two graphs. The first graph discusses reaches. The first three columns are the number of accepts from a school, the number of applications from a school, and the percentage of accepts to applications. Notice this is different from the list above, because before I was throwing out waitlists, but here I am not. I am doing this because when addressing admissions ratio, the stress is placed on counting rejections. Here, the stress is placed on counting acceptances.

The fourth data column addresses how often a school was the highest ranked accept in an applicants profile. I think that if this is lower than similar schools similarly ranked, then it is a sign that the school is overvalued by TMers relative to its rank.

The fifth is how often a school was a reach.

The sixth is how often the school was a reach and accepted a student.

The seventh is the percentages of reaches accepted. This is the main result of this graph; again it can show which schools are overranked/underranked in that they accept students who don't percieve themselves as being as strong, or something like that.

The eigth is the percentage of time a school was an applicants reach compared to all the times the school was in an applicants profile. Again, this shows which schools are overranked/underranked relative to applicants feelinds. It also gives some idea which schools might be recieving relatively few reach applications.

The last is the percentage of time a reaching student was accepted compared to all accepts. If an applicant is looking for a safe reach, and can't decide between two schools, this column might help.

#School Name # accepted# appliedpct acc # top acc# reach# reach acc pct reach accpct reachpct acc reach
??Columbia 137716.88 3201 525.977.69
??Rochester 112152.38 341 2519.049.09
??U Colorado - Boulder 101662.5 342 502520
??U Iowa 51145.45 111 1009.0920
??Penn State U 122842.85 100 000
??North Carolina State U 1714.28 041 2557.14100
??MIT 108212.19 38210 12.19100100
??Carnegie Mellon U 41526.66 141 2526.6625
??Duke U 266440.62 673 42.8510.9311.53
??Virginia 324768.08 11136 46.1527.6518.75
??Ohio State 132846.42 374 57.142530.76
??U California - San Diego 174835.41 6194 21.0539.5823.52
??U Southern California 4850 000 000
??Washington U St Louis 62425 121 508.3316.66
??Illinois 102147.61 363 5028.5730
??NYU 147219.44 280 011.110
??U California - Irvine 6785.71 300 000
??U North Carolina 183060 322 1006.6611.11
??Pennsylvania 176426.56 6152 13.3323.4311.76
??California Institute of Technology (Caltech) 81942.10 220 010.520
??Chicago 236833.82 236823 33.82100100
??Berkeley 117714.28 6445 11.3657.1445.45
??Harvard 8819.87 3818 9.87100100
??Brown U 85614.28 090 016.070
??Northwestern 246437.5 7170 026.560
??Cornell 105318.86 2194 21.0535.8440
??Princeton 128015 2371 2.7046.258.33
??Iowa State U 2633.33 021 5033.3350
??U California - Davis 142070 242 502014.28
??Michigan 256836.76 6122 16.6617.648
??Maryland 174438.63 483 37.518.1817.64
??Wisconsin 314765.95 221911 57.8940.4235.48
??Vanderbilt 92045 120 0100
??U California - Santa Barbara 7977.77 233 10033.3342.85
??Indiana 51241.66 100 000
??Rutgers 4757.14 000 000
??Johns Hopkins 92832.14 471 14.282511.11
??Purdue U 51145.45 030 027.270
??Rice U 4666.66 000 000
??Stanford 157121.12 2141 7.1419.716.66
??U Minnesota 62623.07 432 66.6611.5333.33
??Arizona 81172.72 210 09.090
??Arizona State 41428.57 100 000
??Texas A&M 61250 221 5016.6616.66
??Syracuse U 1520 100 000
??Claremont 11100 000 000
??Georgetown 112544 000 000
??Texas 214151.21 9199 47.3646.3442.85
??Yale 198322.89 7250 030.120
??Michigan State U 112152.38 274 57.1433.3336.36
??Boston U 193948.71 551 2012.825.26
??U Pittsburgh 41526.66 000 000
??California - Los Angeles 123633.33 382 2522.2216.66
??Boston College 61931.57 010 05.260

Here, the rankings are from USNWR, except that if no tm applicants were recorded, it was removed. Waitlists, if noticed by the program, were not thrown out. After the analysis was done, but before it was outputted to html, the order was shuffled, so this is academic fair use of USNWR info, and does not infringe on their IP. This randomization makes the graph slightly less informative, sorry. I could put the econphd.net rankings back in somehow, maybe.

Whereas before, Wisconsin, Ohio State, and Illinois all saw very similar percentages of reaches, now Wisconsin sees many more, and Ohio State many fewer, and Illinois practically none.

Texas has a high percentage of accepts that were reaches (data column 9). Duke is still rarely a reach, along with WUSTL< BC< Davis, Rochester, Vandy, Penn State, Georgetown, Pitt, and Michigan State (all had more than 10 applications and less than 10% reaches). Caltech and Brown still have few reaches as well.

Question: What schools are often considered safeties by TMers (using ranking by US News and World Report)?

For this question I consider each applicants list of schools and order them from highest ranked to lowest ranked. I then record the names of the three highest ranked schools and their decisions. These I call the applicants reaches. I do the same for the lowest ranked schools, which I call the safeties. For display purposes (and so sorttable works nicely), I present the data in two graphs. The first graph discusses reaches. The first three columns are the number of accepts from a school, the number of applications from a school, and the percentage of accepts to applications. Notice this is different from the list above, because before I was throwing out waitlists, but here I am not. I am doing this because when addressing admissions ratio, the stress is placed on counting rejections. Here, the stress is placed on counting acceptances.

The fourth data column addresses how often a school was the highest ranked accept in an applicants profile. I think that if this is lower than similar schools similarly ranked, then it is a sign that the school is overvalued by TMers relative to its rank.

The fifth is how often a school was a safety.

The sixth is how often the school was a safety and accepted a student.

The seventh is the percentages of safeties accepted. This is the main result of this graph; again it can show which schools are overranked/underranked in that they accept students who don't percieve themselves as being as strong, or something like that.

The eigth is the percentage of time a school was an applicants safety compared to all the times the school was in an applicants profile. Again, this shows which schools are overranked/underranked relative to applicants feelinds. It also gives some idea which schools might be recieving relatively few reach applications.

The last is the percentage of time a safety student was accepted compared to all accepts. If an applicant is looking for a safe safety, and can't decide between two schools, this column might help.

#School Name # accepted# appliedpct acc # top acc# safe# safe acc pct safe accpct safepct acc safe
??Columbia 137716.88 3214 19.0427.2730.76
??Rochester 112152.38 385 62.538.0945.45
??U Colorado - Boulder 101662.5 31610 62.5100100
??U Iowa 51145.45 153 6045.4560
??Penn State U 122842.85 12311 47.8282.1491.66
??North Carolina State U 1714.28 071 14.28100100
??MIT 108212.19 341 254.8710
??Carnegie Mellon U 41526.66 151 2033.3325
??Duke U 266440.62 63518 51.4254.6869.23
??Virginia 324768.08 111917 89.4740.4253.12
??Ohio State 132846.42 3105 5035.7138.46
??U California - San Diego 174835.41 682 2516.6611.76
??U Southern California 4850 063 507575
??Washington U St Louis 62425 1196 31.5779.16100
??Illinois 102147.61 3105 5047.6150
??NYU 147219.44 23611 30.555078.57
??U California - Irvine 6785.71 376 85.71100100
??U North Carolina 183060 31411 78.5746.6661.11
??Pennsylvania 176426.56 6125 41.6618.7529.41
??California Institute of Technology (Caltech) 81942.10 295 55.5547.3662.5
??Chicago 236833.82 2310 01.470
??Berkeley 117714.28 610 01.290
??Harvard 8819.87 361 16.667.4012.5
??Brown U 85614.28 0276 22.2248.2175
??Northwestern 246437.5 785 62.512.520.83
??Cornell 105318.86 2133 23.0724.5230
??Princeton 128015 2111 9.0913.758.33
??Iowa State U 2633.33 062 33.33100100
??U California - Davis 142070 21310 76.926571.42
??Michigan 256836.76 6166 37.523.5224
??Maryland 174438.63 4105 5022.7229.41
??Wisconsin 314765.95 2275 71.4214.8916.12
??Vanderbilt 92045 1177 41.178577.77
??U California - Santa Barbara 7977.77 253 6055.5542.85
??Indiana 51241.66 162 33.335040
??Rutgers 4757.14 074 57.14100100
??Johns Hopkins 92832.14 4115 45.4539.2855.55
??Purdue U 51145.45 083 37.572.7260
??Rice U 4666.66 064 66.66100100
??Stanford 157121.12 243 755.6320
??U Minnesota 62623.07 4113 27.2742.3050
??Arizona 81172.72 297 77.7781.8187.5
??Arizona State 41428.57 1134 30.7692.85100
??Texas A&M 61250 2105 5083.3383.33
??Syracuse U 1520 151 20100100
??Claremont 11100 011 100100100
??Georgetown 112544 02511 44100100
??Texas 214151.21 9139 69.2331.7042.85
??Yale 198322.89 773 42.858.4315.78
??Michigan State U 112152.38 2127 58.3357.1463.63
??Boston U 193948.71 52210 45.4556.4152.63
??U Pittsburgh 41526.66 0154 26.66100100
??California - Los Angeles 123633.33 321 505.558.33
??Boston College 61931.57 0156 4078.94100

Here, the rankings are from USNWR, except that if no tm applicants were recorded, it was removed. Waitlists, if noticed by the program, were not thrown out. After the analysis was done, but before it was outputted to html, the order was shuffled, so this is academic fair use of USNWR info, and does not infringe on their IP.

Here, similar schools are often safeties Schools (safeties more than 50 0ata column 8) include WUSTL, Georgetown, Pittsburgh, Penn State, Michigan State, BC, BU, and Vandy (but no longer include Duke (44%), JHU (18%), CalTech (44%), Virginia (36%)). The big difference is JHU, which is now very rarely a safety.

Picky schools might rarely accept safeties (Column 7). These seem to include Boston U, WUSTL, UCSD, Michigan, and Northwestern (all 1/3 or less). Pitt and Penn no longer seem so picky, but CMU does. Some very good schools accept over 750f applicants who apply where that school is a safety, even though they are safety schools often, including Texas, Georgetown, North Carolina, Penn State, and Caltech. Virginia still accepts many safeties, as does Penn State and Vanderbilt.

Georgetown and WUSTL still show as accepting all students who applied as safeties (Column 9), as did Pitt. Still, relatively few who got into Maryland saw it as a safety.

Question: What are the acceptance and rejection rates of different schools by research interest according to tm (2007 and 2008 data)?

Note: Click on top of column to sort. Here I include applicants who note their research interest and include the word I've put in bold before each table. So if someone writes "anything but macro" or "I like to expiriment with monthly iota [ed note: I have no idea if iota data exists in finance] data in finance", they will be included in the wrong table(s). On the other hand, it is non-exclusive, so someone who says they are interested in IO and environmental will be included in both.

Fields: micro macro metric labor IO dev envir mone decision financ applied experiment

micro

#School Name # micro accepted# micro appliedmicro percentage# total accepted# total appliedtotal percentage
0Harvard43511.422633.33
1Chicago153246.874757.14
2MIT63815.782540
3Berkeley63517.142450
4Princeton62722.222366.66
5Stanford83721.623560
6Northwestern143145.164580
7Pennsylvania102934.482366.66
8Yale93823.681714.28
9NYU930301250
10California - Los Angeles71546.66020
11London School of Economics5771.42000
12Columbia63318.18060
13Wisconsin161794.113475
14Cornell71936.842633.33
15Michigan132846.423742.85
16Maryland102343.472540
17Toulouse I11100000
18Texas101283.3322100
19U British Columbia44100000
20U California - San Diego122352.172366.66
21Rochester4850000
22Ohio State6875010
23Tilburg U22100000
24Illinois6875000
25Boston U101283.3311100
26Brown U42615.38030
27U California - Davis810802366.66
28U Minnesota3933.33010
29Oxford U1333.33000
30U Southern California3475000
31Michigan State U34751250
32Duke U1224501520
33U Toronto3475000
34Penn State U71163.6311100
35Carnegie Mellon U2366.66000
36U North Carolina6785.71000
37Boston College44100000
38California Institute of Technology (Caltech)66100000
39Texas A&M22100000
40University College London1333.33000
41Essex010010
42Indiana020000
43Johns Hopkins4666.66020
44Rutgers1250010
45Virginia111291.661250
46Vanderbilt3650020
47Georgetown7887.511100
48Arizona State010000
49Arizona55100000
50Stockholm U010000
51U Washington1250000
52Queen's U11100000
53Washington U St Louis1333.33010
54U York11100000
55U Pompeu Fabra2366.66000
56Purdue U1250000
57U Pittsburgh020000
58U Iowa1250000
59Rice U010000
60U California - Irvine3310011100
61Syracuse U1250020
62U California - Santa Barbara010000
63U Colorado - Boulder3475000
64North Carolina State U010000
65Southern Methodist U11100000
66U Kentucky22100000
67U Georgia11100000
68Simon Fraser U22100000
69U Illinois - Chicago22100000
70U Oregon010000
71U Houston11100000
72McGill U11100000
73George Mason U1250000
74U Wyoming11100000
75Uppsala U11100000
76National U Singapore11100000
77Claremont11100000
78Texas - Dallas11100000
79Florida State2366.6611100
80Tinbergen11100000
81Clemson11100000
82U California - Riverside11100000
83U Connecticut22100000
84U Missouri11100000
85NSF111001250
86U California - Berkeley AREC2633.331333.33
87Cornell AEM2366.66000
88Purdue U Agecon11100000
89U California - Davis ARE3475000
90Wisconsin AAE125011100
91U Florida FRED11100000
92Wharton at Pennsylvania040030

macro

#School Name # macro accepted# macro appliedmacro percentage# total accepted# total appliedtotal percentage
0Harvard0802633.33
1Chicago2728.574757.14
2MIT0902540
3Berkeley1812.52450
4Princeton1911.112366.66
5Stanford14253560
6Northwestern310304580
7Pennsylvania51145.452366.66
8Yale210201714.28
9NYU4944.441250
10California - Los Angeles1616.66020
11London School of Economics5683.33000
12Columbia21216.66060
13Wisconsin661003475
14Cornell3933.332633.33
15Michigan2633.333742.85
16Maryland25402540
17Texas3310022100
18U British Columbia66100000
19U California - San Diego24502366.66
20Rochester4666.66000
21Ohio State22100010
22Tilburg U11100000
23Illinois2366.66000
24Boston U7887.511100
25Brown U1616.66030
26U California - Davis221002366.66
27U Minnesota3560010
28Oxford U2366.66000
29Michigan State U111001250
30Warwick U22100000
31Duke U310301520
32U Toronto3560000
33Penn State U347511100
34U Cambridge010000
35Carnegie Mellon U11100000
36U North Carolina55100000
37Boston College11100000
38California Institute of Technology (Caltech)22100000
39Texas A&M2366.66000
40U Carlos III Madrid11100000
41University College London22100000
42Indiana3475000
43Johns Hopkins3475020
44Rutgers44100010
45Virginia11111001250
46Vanderbilt22100020
47Georgetown365011100
48Arizona State44100000
49Arizona11100000
50U Washington33100000
51Queen's U3475000
52Washington U St Louis4666.66010
53U Pompeu Fabra44100000
54Purdue U2366.66000
55U Pittsburgh1250000
56U Iowa2366.66000
57Rice U11100000
58U California - Irvine125011100
59U California - Santa Barbara11100000
60U California - Santa Cruz11100000
61U Bocconi11100000
62U Western Ontario2366.66000
63London Business School010000
64George Washington U1250000
65U Notre Dame010000
66Tufts U11100000
67National U Singapore11100000
68Tinbergen11100000
69CEMFI11100000
70U California - Riverside11100000
71Wharton at Pennsylvania010030

metric

#School Name # metric accepted# metric appliedmetric percentage# total accepted# total appliedtotal percentage
0Harvard0302633.33
1Chicago2366.664757.14
2MIT0302540
3Berkeley1616.662450
4Princeton25402366.66
5Stanford24503560
6Northwestern221004580
7Pennsylvania2366.662366.66
8Yale0301714.28
9Columbia1425060
10Wisconsin221003475
11Cornell221002633.33
12Michigan331003742.85
13Maryland0102540
14Texas1110022100
15U British Columbia11100000
16U California - San Diego34752366.66
17Ohio State11100010
18Boston U1110011100
19Brown U11100030
20Michigan State U111001250
21Duke U12501520
22U North Carolina11100000
23Johns Hopkins11100020
24Virginia111001250
25U Washington11100000
26U California - Irvine1110011100
27U California - Santa Barbara11100000
28U Colorado - Boulder11100000
29U Oregon11100000
30NSF0101250
31Wharton at Pennsylvania010030

labor

#School Name # labor accepted# labor appliedlabor percentage# total accepted# total appliedtotal percentage
0Harvard0802633.33
1Chicago0304757.14
2MIT0502540
3Berkeley1911.112450
4Princeton01102366.66
5Stanford2633.333560
6Northwestern2633.334580
7Pennsylvania28252366.66
8Yale3837.51714.28
9NYU0301250
10California - Los Angeles1616.66020
11Columbia070060
12Wisconsin34753475
13Cornell2728.572633.33
14Michigan41136.363742.85
15Maryland3933.332540
16Texas5683.3322100
17U California - San Diego35602366.66
18Rochester030000
19Ohio State2366.66010
20Illinois1250000
21Boston U347511100
22Brown U060030
23U California - Davis2366.662366.66
24U Minnesota020010
25U Southern California11100000
26Michigan State U2366.661250
27Duke U41233.331520
28U Toronto11100000
29Penn State U1333.3311100
30Carnegie Mellon U010000
31U North Carolina4580000
32Boston College11100000
33Texas A&M11100000
34Essex010010
35Indiana1250000
36Johns Hopkins1425020
37Rutgers010010
38Virginia4666.661250
39Vanderbilt1425020
40Georgetown1333.3311100
41Arizona State1250000
42Arizona22100000
43U Washington1250000
44Washington U St Louis010010
45Purdue U020000
46U Pittsburgh010000
47U Iowa1250000
48Rice U010000
49U California - Irvine2210011100
50Syracuse U010020
51U California - Santa Barbara11100000
52U Colorado - Boulder3475000
53North Carolina State U010000
54Southern Methodist U11100000
55U California - Santa Cruz1250000
56U Kentucky22100000
57U Georgia11100000
58U Illinois - Chicago11100000
59U Oregon1250000
60U Houston11100000
61George Mason U010000
62National U Singapore11100000
63Claremont11100000
64Florida State2210011100
65U Connecticut11100000
66U California - Berkeley AREC0101333.33
67Wharton at Pennsylvania050030

IO

#School Name # IO accepted# IO appliedIO percentage# total accepted# total appliedtotal percentage
0Harvard1812.52633.33
1Chicago2633.334757.14
2MIT0602540
3Berkeley1119.092450
4Princeton0702366.66
5Stanford210203560
6Northwestern5862.54580
7Pennsylvania14252366.66
8Yale3837.51714.28
9NYU0301250
10California - Los Angeles2450020
11Columbia1714.28060
12Wisconsin221003475
13Cornell0402633.33
14Michigan34753742.85
15Maryland1333.332540
16Toulouse I11100000
17Texas4410022100
18U California - San Diego36502366.66
19Ohio State11100010
20Illinois33100000
21Boston U4410011100
22Brown U1520030
23U California - Davis12502366.66
24U Minnesota11100010
25U Southern California010000
26Michigan State U221001250
27Duke U36501520
28Penn State U2210011100
29U North Carolina11100000
30Virginia331001250
31Georgetown2210011100
32Arizona State010000
33Arizona2366.66000
34U Washington11100000
35Iowa State U11100000
36Washington U St Louis020010
37Purdue U22100000
38U Iowa11100000
39U California - Irvine2210011100
40U California - Riverside22100000
41U California - Berkeley AREC0101333.33
42Wharton at Pennsylvania010030

dev

#School Name # dev accepted# dev applieddev percentage# total accepted# total appliedtotal percentage
0Harvard2248.332633.33
1Chicago2922.224757.14
2MIT220102540
3Berkeley21811.112450
4Princeton01202366.66
5Stanford220103560
6Northwestern2922.224580
7Pennsylvania21216.662366.66
8Yale62623.071714.28
9NYU21711.761250
10California - Los Angeles71353.84020
11London School of Economics5862.5000
12Columbia32611.53060
13Wisconsin6785.713475
14Cornell01202633.33
15Michigan111861.113742.85
16Maryland61346.152540
17Texas7710022100
18U British Columbia5771.42000
19U California - San Diego61346.152366.66
20Rochester2450000
21Ohio State1250010
22Illinois22100000
23Boston U7107011100
24Brown U42218.18030
25U California - Davis810802366.66
26U Minnesota3742.85010
27Oxford U1250000
28U Southern California22100000
29Michigan State U5771.421250
30Duke U81361.531520
31U Toronto2450000
32Penn State U687511100
33Carnegie Mellon U010000
34U North Carolina7887.5000
35Boston College11100000
36Texas A&M1250000
37Essex010010
38Indiana22100000
39Johns Hopkins1425020
40Rutgers010010
41Virginia771001250
42Vanderbilt1333.33020
43Georgetown2633.3311100
44Arizona State1250000
45Arizona11100000
46U Washington77100000
47Iowa State U11100000
48Washington U St Louis1425010
49U York11100000
50U Pompeu Fabra22100000
51Purdue U3475000
52U Pittsburgh1250000
53U Iowa11100000
54U California - Irvine125011100
55U California - Santa Barbara11100000
56U Colorado - Boulder4580000
57North Carolina State U11100000
58Southern Methodist U11100000
59U California - Santa Cruz22100000
60George Washington U11100000
61U Notre Dame010000
62U Illinois - Chicago33100000
63U Oregon11100000
64U Wyoming11100000
65National U Singapore11100000
66Claremont11100000
67Delaware2210011100
68U California - Riverside22100000
69U Connecticut010000
70U New Mexico11100000
71NSF24501250
72U California - Berkeley AREC5955.551333.33
73Cornell AEM11100000
74Maryland AREC010000
75Purdue U Agecon11100000
76U Minnesota Applied11100000
77U California - Davis ARE33100000
78Wisconsin AAE245011100
79Oregon State ARE11100000
80Wharton at Pennsylvania040030

envir

#School Name # envir accepted# envir appliedenvir percentage# total accepted# total appliedtotal percentage
0Harvard0202633.33
1MIT0102540
2Berkeley1333.332450
3Princeton0102366.66
4Stanford0103560
5Northwestern0104580
6Pennsylvania0102366.66
7Yale0401714.28
8NYU0101250
9California - Los Angeles010020
10London School of Economics11100000
11Columbia030060
12Wisconsin111003475
13Cornell0102633.33
14Michigan0303742.85
15Maryland12502540
16Texas01022100
17U California - San Diego0202366.66
18Ohio State11100010
19Illinois1250000
20U California - Davis0102366.66
21U Minnesota1250010
22Michigan State U221001250
23Duke U111001520
24Penn State U01011100
25U North Carolina1250000
26Arizona11100000
27U Washington1250000
28Iowa State U11100000
29U California - Irvine2210011100
30U California - Santa Barbara3475000
31U Colorado - Boulder2366.66000
32North Carolina State U11100000
33U Oregon010000
34U Wyoming11100000
35Delaware1110011100
36Colorado State22100000
37U California - Riverside11100000
38U California - Berkeley AREC15201333.33
39Cornell AEM2366.66000
40Maryland AREC3475000
41North Carolina State Agecon22100000
42U Minnesota Applied11100000
43U California - Davis ARE3475000
44Wisconsin AAE2366.6611100
45Oregon State ARE3475000
46Penn State AERS22100000

mone

#School Name # mone accepted# mone appliedmone percentage# total accepted# total appliedtotal percentage
0Harvard0202633.33
1Berkeley0102450
2Princeton0202366.66
3Northwestern0104580
4Pennsylvania12502366.66
5Yale0201714.28
6NYU12501250
7London School of Economics1333.33000
8Columbia2540060
9Cornell1333.332633.33
10Maryland0102540
11Texas1110022100
12U British Columbia22100000
13Rochester11100000
14Illinois010000
15Boston U1110011100
16U Minnesota22100010
17Duke U0201520
18U Toronto2366.66000
19Penn State U1110011100
20U North Carolina22100000
21Indiana22100000
22Johns Hopkins11100020
23Rutgers33100010
24Virginia331001250
25Vanderbilt11100020
26Georgetown125011100
27Queen's U1250000
28Washington U St Louis1250010
29U Pompeu Fabra22100000
30Purdue U1250000
31U Iowa11100000
32U Colorado - Boulder1250000
33U California - Santa Cruz11100000
34U Western Ontario010000
35McGill U11100000
36National U Singapore11100000
37Colorado State11100000
38Tinbergen11100000
39CEMFI11100000
40U California - Riverside11100000
41U New Mexico11100000
42Wharton at Pennsylvania010030

decision

#School Name # decision accepted# decision applieddecision percentage# total accepted# total appliedtotal percentage
0Harvard15202633.33
1Chicago1333.334757.14
2MIT0302540
3Berkeley0402450
4Princeton0402366.66
5Stanford0303560
6Northwestern441004580
7Yale0101714.28
8NYU0101250
9California - Los Angeles010020
10Columbia020060
11Wisconsin111003475
12Cornell1333.332633.33
13Michigan111003742.85
14U British Columbia010000
15U California - San Diego24502366.66
16Rochester11100000
17Illinois11100000
18Boston U125011100
19U California - Davis0102366.66
20Duke U12501520
21Penn State U1110011100
22U North Carolina22100000
23Boston College11100000
24California Institute of Technology (Caltech)22100000
25Virginia111001250
26U Washington11100000
27U Pittsburgh010000

financ

#School Name # financ accepted# financ appliedfinanc percentage# total accepted# total appliedtotal percentage
0Harvard21118.182633.33
1Chicago51241.664757.14
2MIT410402540
3Berkeley1714.282450
4Princeton410402366.66
5Stanford3837.53560
6Northwestern4944.444580
7Pennsylvania3837.52366.66
8Yale51435.711714.28
9NYU61154.541250
10California - Los Angeles1333.33020
11London School of Economics1250000
12Columbia41330.76060
13Wisconsin661003475
14Cornell14252633.33
15Michigan36503742.85
16Maryland25402540
17Texas2210022100
18U British Columbia33100000
19U California - San Diego2366.662366.66
20Rochester1425000
21Ohio State1250010
22Illinois010000
23Boston U4410011100
24Brown U030030
25U California - Davis12502366.66
26U Minnesota1333.33010
27U Southern California11100000
28Duke U3933.331520
29U Toronto1250000
30Penn State U3310011100
31Carnegie Mellon U22100000
32U North Carolina5683.33000
33Boston College11100000
34California Institute of Technology (Caltech)11100000
35Texas A&M22100000
36U Carlos III Madrid010000
37Indiana010000
38Johns Hopkins33100020
39Virginia5683.331250
40Georgetown02011100
41Arizona State1250000
42Arizona1250000
43U Washington11100000
44Queen's U11100000
45U Pompeu Fabra11100000
46Purdue U1250000
47U Pittsburgh010000
48U Colorado - Boulder010000
49Southern Methodist U11100000
50U California - Santa Cruz11100000
51London Business School010000
52U Illinois - Chicago11100000
53McGill U11100000
54Claremont11100000
55CEMFI11100000
56U California - Riverside11100000
57U Connecticut010000
58Wharton at Pennsylvania040030

applied

#School Name # applied accepted# applied appliedapplied percentage# total accepted# total appliedtotal percentage
0Harvard1214.762633.33
1Chicago102147.614757.14
2MIT2219.522540
3Berkeley42218.182450
4Princeton31915.782366.66
5Stanford52123.803560
6Northwestern61735.294580
7Pennsylvania61833.332366.66
8Yale425161714.28
9NYU41723.521250
10California - Los Angeles51338.46020
11London School of Economics11100000
12Columbia42020060
13Wisconsin121392.303475
14Cornell41136.362633.33
15Michigan92437.53742.85
16Maryland112347.822540
17Toulouse I11100000
18Texas101283.3322100
19U British Columbia22100000
20U California - San Diego61346.152366.66
21Rochester1425000
22Ohio State5771.42010
23Illinois3560000
24Boston U81172.7211100
25Brown U22010030
26U California - Davis5683.332366.66
27U Minnesota2728.57010
28Oxford U010000
29U Southern California2366.66000
30Michigan State U34751250
31Duke U112347.821520
32U Toronto1250000
33Penn State U365011100
34Carnegie Mellon U1250000
35U North Carolina7887.5000
36Boston College33100000
37Texas A&M11100000
38University College London11100000
39Essex010010
40Indiana010000
41Johns Hopkins3650020
42Rutgers010010
43Virginia111291.661250
44Vanderbilt3650020
45Georgetown6785.7111100
46Arizona State010000
47Arizona33100000
48U Washington3475000
49Iowa State U11100000
50Washington U St Louis020010
51U York11100000
52U Pompeu Fabra22100000
53Purdue U020000
54U Pittsburgh020000
55U Iowa1250000
56Rice U010000
57U California - Irvine3310011100
58Syracuse U1250020
59U California - Santa Barbara22100000
60U Colorado - Boulder4580000
61North Carolina State U1250000
62Southern Methodist U11100000
63U California - Santa Cruz1250000
64London Business School010000
65U Kentucky22100000
66George Washington U010000
67U Georgia11100000
68Simon Fraser U11100000
69U Illinois - Chicago22100000
70U Oregon1250000
71U Houston11100000
72George Mason U1250000
73U Wyoming22100000
74National U Singapore11100000
75Claremont11100000
76Texas - Dallas11100000
77Florida State2366.6611100
78Clemson11100000
79U California - Riverside11100000
80U Connecticut22100000
81U Missouri11100000
82NSF0101250
83U California - Berkeley AREC2728.571333.33
84Cornell AEM2366.66000
85Maryland AREC010000
86Purdue U Agecon11100000
87U Minnesota Applied11100000
88U California - Davis ARE4580000
89Wisconsin AAE1333.3311100
90Oregon State ARE11100000
91U Florida FRED11100000
92Wharton at Pennsylvania040030

experiment

#School Name # experiment accepted# experiment appliedexperiment percentage# total accepted# total appliedtotal percentage
0Harvard15202633.33
1Chicago0104757.14
2MIT0402540
3Berkeley0302450
4Princeton0302366.66
5Stanford0303560
6Northwestern2633.334580
7Pennsylvania14252366.66
8Yale0201714.28
9NYU0301250
10California - Los Angeles2366.66020
11Columbia010060
12Wisconsin34753475
13Cornell1333.332633.33
14Michigan35603742.85
15Maryland12502540
16Texas2210022100
17U California - San Diego2366.662366.66
18Rochester11100000
19Ohio State4580010
20Illinois22100000
21Boston U2210011100
22Brown U1250030
23U California - Davis12502366.66
24U Minnesota010010
25Michigan State U111001250
26Duke U2366.661520
27U Toronto11100000
28Penn State U2366.6611100
29Carnegie Mellon U11100000
30U North Carolina11100000
31Boston College22100000
32California Institute of Technology (Caltech)22100000
33Texas A&M11100000
34Essex010010
35Indiana020000
36Johns Hopkins010020
37Rutgers010010
38Virginia1333.331250
39Vanderbilt2540020
40Georgetown1110011100
41Arizona State010000
42Arizona44100000
43U Washington11100000
44Iowa State U11100000
45Purdue U1333.33000
46U Pittsburgh2540000
47U Iowa010000
48Rice U010000
49Syracuse U010020
50U California - Santa Barbara11100000
51North Carolina State U1250000
52U California - Santa Cruz010000
53U Kentucky11100000
54U Georgia11100000
55U Oregon010000
56U Houston11100000
57National U Singapore11100000
58Florida State2210011100
59U Connecticut11100000
60NSF0101250
61U California - Berkeley AREC1333.331333.33
62Maryland AREC010000
63U California - Davis ARE11100000
64Wisconsin AAE125011100
65Oregon State ARE11100000
66Wharton at Pennsylvania010030

The rankings are from econphd.net, except that if no tm applicants were recorded, it was removed. Also, waitlists were thrown out.

One other thing I can do is given a GRE and GPA range, I can output which applicants fit into that category. I'm not sure how I could turn that into html output, it seems like a heavy task for javascript. But if you are interested, pm me the scores you are interested in. GPA ranges turn out to be too nearly meaningless for this to be very useful, but it is interesting enough.

I believe I have mentioned, but there is a chance that someone will want to continue this and I won't be around to help them. All the files needed are in the directory exept one. The perl script fgen generates the individual school tables, ggen generates the graph data, analyses generates this page, and index the index page. The js and swf files are properties of either me, or of the people noted in the file, who allow their work to be reused. The csv files can be edited, the first column is the school name, the second will be the filename when you run the program, additional ones are search terms. If you want to replicate this, you will also need a file I called controlfileusnwr.csv, which is just controlfile.csv resorted. forum2007 and forum2008 are html files in which I've pasted the TM forums tuff (there was a small amount of pre-processing). flare.json.txt is part of the graph data.