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 applicant021/26 (80.76%)21/21 (100%)22/27 (81.48%)7/16 (43.75%)4/9 (44.44%)9/12 (75%)3/13 (23.07%)5/14 (35.71%)2/14 (14.28%)2/11 (18.18%)
15/26 (19.23%)0/21 (0%)5/27 (18.51%)7/16 (43.75%)2/9 (22.22%)2/12 (16.66%)2/13 (15.38%)2/14 (14.28%)3/14 (21.42%)5/11 (45.45%)
20/26 (0%)0/21 (0%)0/27 (0%)2/16 (12.5%)3/9 (33.33%)1/12 (8.33%)2/13 (15.38%)2/14 (14.28%)0/14 (0%)1/11 (9.09%)
30/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)2/13 (15.38%)5/14 (35.71%)0/14 (0%)1/11 (9.09%)
40/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)0/13 (0%)0/14 (0%)3/14 (21.42%)0/11 (0%)
50/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)0/13 (0%)0/14 (0%)1/14 (7.14%)0/11 (0%)
60/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)3/13 (23.07%)0/14 (0%)2/14 (14.28%)0/11 (0%)
70/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)1/13 (7.69%)0/14 (0%)3/14 (21.42%)2/11 (18.18%)
80/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)0/13 (0%)0/14 (0%)0/14 (0%)0/11 (0%)
90/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)0/13 (0%)0/14 (0%)0/14 (0%)0/11 (0%)
100/26 (0%)0/21 (0%)0/27 (0%)0/16 (0%)0/9 (0%)0/12 (0%)0/13 (0%)0/14 (0%)0/14 (0%)0/11 (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 applicant017/23 (73.91%)11/24 (45.83%)11/21 (52.38%)6/23 (26.08%)2/12 (16.66%)5/13 (38.46%)3/16 (18.75%)4/13 (30.76%)0/14 (0%)2/17 (11.76%)2/9 (22.22%)2/11 (18.18%)2/7 (28.57%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
16/23 (26.08%)10/24 (41.66%)7/21 (33.33%)13/23 (56.52%)7/12 (58.33%)4/13 (30.76%)4/16 (25%)3/13 (23.07%)6/14 (42.85%)1/17 (5.88%)1/9 (11.11%)5/11 (45.45%)2/7 (28.57%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
20/23 (0%)3/24 (12.5%)1/21 (4.76%)3/23 (13.04%)2/12 (16.66%)2/13 (15.38%)1/16 (6.25%)2/13 (15.38%)2/14 (14.28%)0/17 (0%)1/9 (11.11%)0/11 (0%)2/7 (28.57%)1/1 (100%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
30/23 (0%)0/24 (0%)2/21 (9.52%)1/23 (4.34%)1/12 (8.33%)2/13 (15.38%)3/16 (18.75%)1/13 (7.69%)1/14 (7.14%)5/17 (29.41%)1/9 (11.11%)1/11 (9.09%)0/7 (0%)0/1 (0%)0/1 (0%)1/2 (50%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
40/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)2/16 (12.5%)3/13 (23.07%)3/14 (21.42%)3/17 (17.64%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)1/1 (100%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
50/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)1/16 (6.25%)0/13 (0%)0/14 (0%)2/17 (11.76%)1/9 (11.11%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)1/2 (50%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
60/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)1/16 (6.25%)0/13 (0%)0/14 (0%)0/17 (0%)1/9 (11.11%)1/11 (9.09%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
70/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)1/16 (6.25%)0/13 (0%)1/14 (7.14%)3/17 (17.64%)0/9 (0%)1/11 (9.09%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
80/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)1/14 (7.14%)1/17 (5.88%)2/9 (22.22%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
90/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)1/11 (9.09%)1/7 (14.28%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
100/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
110/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
120/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
130/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
140/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
150/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
160/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
170/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
180/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
190/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (0%)0/1 (0%)0/1 (0%)0/2 (0%)0/0 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
200/23 (0%)0/24 (0%)0/21 (0%)0/23 (0%)0/12 (0%)0/13 (0%)0/16 (0%)0/13 (0%)0/14 (0%)0/17 (0%)0/9 (0%)0/11 (0%)0/7 (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 76610.60
1Chicago 245642.85
2MIT 106615.15
3Berkeley 188022.5
4Princeton 126319.04
5Stanford 155925.42
6Northwestern 245642.85
7Pennsylvania 175232.69
8Yale 197326.02
9NYU 144928.57
10California - Los Angeles 132944.82
11London School of Economics 142458.33
12Columbia 137018.57
13Wisconsin 364678.26
14Cornell 134230.95
15Michigan 255644.64
16Maryland 214546.66
17Toulouse I 1250
18Texas 213363.63
19U British Columbia 152075
20U California - San Diego 173943.58
21Rochester 111764.70
22Ohio State 132161.90
23Tilburg U 33100
24Illinois 111573.33
25Boston U 172568
26Brown U 84816.66
27U California - Davis 202774.07
28U Minnesota 91947.36
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 142166.66
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
42U Carlos III Madrid 1250
43University College London 4666.66
44Essex 010
45Indiana 6875
46Johns Hopkins 92437.5
47Rutgers 4580
48Virginia 333984.61
49Vanderbilt 91656.25
50Georgetown 121963.15
51Arizona State 41040
52Arizona 8988.88
53Stockholm U 010
54U Washington 111291.66
55Queen's U 4757.14
56Iowa State U 2540
57Washington U St Louis 41136.36
58U York 44100
59U Pompeu Fabra 7887.5
60Purdue U 6966.66
61U Nottingham 22100
62U Pittsburgh 4944.44
63Stockholm School of Economics 010
64U Iowa 51145.45
65Rice U 4666.66
66U California - Irvine 6785.71
67U Florida 1250
68Syracuse U 1333.33
69U California - Santa Barbara 7977.77
70U Colorado - Boulder 101566.66
71North Carolina State U 3475
72Southern Methodist U 11100
73U California - Santa Cruz 4666.66
74U Bocconi 11100
75U Western Ontario 2366.66
76London Business School 010
77U Kentucky 22100
78George Washington U 2366.66
79U Georgia 22100
80U Notre Dame 010
81Simon Fraser U 22100
82U Illinois - Chicago 22100
83U Oregon 3560
84U Houston 11100
85Emory U 020
86Tufts U 11100
87Georgia State U 11100
88McGill U 22100
89George Mason U 1250
90U Wyoming 22100
91Uppsala U 11100
92National U Singapore 11100
93Claremont 11100
94Delaware 66100
95Texas - Dallas 11100
96Florida State 3475
97Colorado State 33100
98Tinbergen 22100
99CEMFI 22100
100Oregon State 5683.33

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 applicant053/53 (100%)30/38 (78.94%)19/35 (54.28%)11/30 (36.66%)7/17 (41.17%)8/24 (33.33%)6/27 (22.22%)6/11 (54.54%)0/7 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
10/53 (0%)8/38 (21.05%)14/35 (40%)10/30 (33.33%)7/17 (41.17%)3/24 (12.5%)10/27 (37.03%)0/11 (0%)3/7 (42.85%)2/3 (66.66%)0/0 (0%)0/0 (0%)0/0 (0%)
20/53 (0%)0/38 (0%)2/35 (5.71%)7/30 (23.33%)3/17 (17.64%)8/24 (33.33%)3/27 (11.11%)3/11 (27.27%)1/7 (14.28%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
30/53 (0%)0/38 (0%)0/35 (0%)2/30 (6.66%)0/17 (0%)3/24 (12.5%)4/27 (14.81%)0/11 (0%)0/7 (0%)1/3 (33.33%)0/0 (0%)0/0 (0%)0/0 (0%)
40/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)2/24 (8.33%)3/27 (11.11%)1/11 (9.09%)2/7 (28.57%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
50/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)0/27 (0%)0/11 (0%)1/7 (14.28%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
60/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)1/27 (3.70%)1/11 (9.09%)0/7 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
70/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)0/27 (0%)0/11 (0%)0/7 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
80/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)0/27 (0%)0/11 (0%)0/7 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
90/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)0/27 (0%)0/11 (0%)0/7 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
100/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)0/27 (0%)0/11 (0%)0/7 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
110/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)0/27 (0%)0/11 (0%)0/7 (0%)0/3 (0%)0/0 (0%)0/0 (0%)0/0 (0%)
120/53 (0%)0/38 (0%)0/35 (0%)0/30 (0%)0/17 (0%)0/24 (0%)0/27 (0%)0/11 (0%)0/7 (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 7818.64 7817 8.64100100
1Chicago 246934.78 196924 34.78100100
2MIT 108212.19 38210 12.19100100
3Berkeley 189219.56 125811 18.9663.0461.11
4Princeton 128015 2351 2.8543.758.33
5Stanford 157121.12 2141 7.1419.716.66
6Northwestern 246437.5 9170 026.560
7Pennsylvania 177223.61 5213 14.2829.1617.64
8Yale 198322.89 4220 026.500
9NYU 147219.44 2180 0250
10California - Los Angeles 133636.11 581 12.522.227.69
11London School of Economics 143342.42 9125 41.6636.3635.71
12Columbia 137716.88 2140 018.180
13Wisconsin 365664.28 231910 52.6333.9227.77
14Cornell 135623.21 5206 3035.7146.15
15Michigan 256836.76 6112 18.1816.178
16Maryland 215042 4156 403028.57
17Toulouse I 1425 010 0250
18Texas 214151.21 9199 47.3646.3442.85
19U British Columbia 152462.5 896 66.6637.540
20U California - San Diego 174835.41 460 012.50
21Rochester 112152.38 241 2519.049.09
22Ohio State 132944.82 494 44.4431.0330.76
23Tilburg U 3475 122 1005066.66
24Illinois 112347.82 595 55.5539.1345.45
25Boston U 173647.22 461 16.6616.665.88
26Brown U 85614.28 060 010.710
27U California - Davis 202968.96 483 37.527.5815
28U Minnesota 93129.03 322 1006.4522.22
29Oxford U 41136.36 020 018.180
30U Southern California 4850 000 000
31Michigan State U 112152.38 186 7538.0954.54
32Warwick U 55100 344 1008080
33Duke U 266440.62 352 407.817.69
34U Toronto 81844.44 544 10022.2250
35Penn State U 143046.66 221 506.667.14
36Carnegie Mellon U 41526.66 020 013.330
37U North Carolina 183060 443 7513.3316.66
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 61250 200 000
44Johns Hopkins 92832.14 120 07.140
45Rutgers 4757.14 000 000
46Virginia 334770.21 541 258.513.03
47Vanderbilt 92045 120 0100
48Georgetown 122548 000 000
49Arizona State 41428.57 110 07.140
50Arizona 81266.66 211 1008.3312.5
51U Washington 111668.75 210 06.250
52Queen's U 41625 242 502550
53Iowa State U 2633.33 121 5033.3350
54Washington U St Louis 42119.04 010 04.760
55U York 44100 100 000
56U Pompeu Fabra 71163.63 111 1009.0914.28
57Purdue U 61250 010 08.330
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
63U Florida 1333.33 000 000
64Syracuse U 1520 110 0200
65U California - Santa Barbara 7977.77 111 10011.1114.28
66U Colorado - Boulder 101662.5 322 10012.520
67North Carolina State U 3742.85 000 000
68Southern Methodist U 11100 000 000
69U California - Santa Cruz 4666.66 000 000
70U Bocconi 11100 000 000
71U Western Ontario 2366.66 000 000
72U Kentucky 2540 000 000
73George Washington U 2366.66 011 10033.3350
74U Georgia 2540 000 000
75Simon Fraser U 2366.66 100 000
76U Illinois - Chicago 2366.66 000 000
77U Oregon 3837.5 010 012.50
78U Houston 1250 000 000
79Tufts U 1250 000 000
80Georgia State U 1425 000 000
81McGill U 22100 000 000
82George Mason U 1250 000 000
83U Wyoming 2366.66 000 000
84Uppsala U 11100 000 000
85National U Singapore 11100 000 000
86Claremont 11100 000 000
87Delaware 66100 266 100100100
88Texas - Dallas 11100 000 000
89Florida State 33100 100 000
90Colorado State 3475 021 505033.33
91Tinbergen 2540 011 1002050
92CEMFI 22100 100 000
93Oregon State 5771.42 000 000

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 7818.64 720 02.460
1Chicago 246934.78 1911 1001.444.16
2MIT 108212.19 340 04.870
3Berkeley 189219.56 1221 502.175.55
4Princeton 128015 291 11.1111.258.33
5Stanford 157121.12 243 755.6320
6Northwestern 246437.5 953 607.8112.5
7Pennsylvania 177223.61 562 33.338.3311.76
8Yale 198322.89 4106 6012.0431.57
9NYU 147219.44 2145 35.7119.4435.71
10California - Los Angeles 133636.11 522 1005.5515.38
11London School of Economics 143342.42 963 5018.1821.42
12Columbia 137716.88 2205 2525.9738.46
13Wisconsin 365664.28 2342 507.145.55
14Cornell 135623.21 573 42.8512.523.07
15Michigan 256836.76 6187 38.8826.4728
16Maryland 215042 4105 502023.80
17Toulouse I 1425 010 0250
18Texas 214151.21 985 62.519.5123.80
19U British Columbia 152462.5 874 57.1429.1626.66
20U California - San Diego 174835.41 4145 35.7129.1629.41
21Rochester 112152.38 264 66.6628.5736.36
22Ohio State 132944.82 432 66.6610.3415.38
23Tilburg U 3475 100 000
24Illinois 112347.82 543 7517.3927.27
25Boston U 173647.22 442 5011.1111.76
26Brown U 85614.28 0287 255087.5
27U California - Davis 202968.96 487 87.527.5835
28U Minnesota 93129.03 3175 29.4154.8355.55
29Oxford U 41136.36 062 33.3354.5450
30U Southern California 4850 022 1002550
31Michigan State U 112152.38 164 66.6628.5736.36
32Warwick U 55100 311 1002020
33Duke U 266440.62 34020 5062.576.92
34U Toronto 81844.44 595 55.555062.5
35Penn State U 143046.66 21911 57.8963.3378.57
36Carnegie Mellon U 41526.66 062 33.334050
37U North Carolina 183060 497 77.773038.88
38Boston College 61931.57 173 42.8536.8450
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 61250 221 5016.6616.66
44Johns Hopkins 92832.14 1198 42.1067.8588.88
45Rutgers 4757.14 032 66.6642.8550
46Virginia 334770.21 52523 9253.1969.69
47Vanderbilt 92045 173 42.853533.33
48Georgetown 122548 01812 66.6672100
49Arizona State 41428.57 1104 4071.42100
50Arizona 81266.66 285 62.566.6662.5
51U Washington 111668.75 2106 6062.554.54
52Queen's U 41625 2123 257575
53Iowa State U 2633.33 130 0500
54Washington U St Louis 42119.04 0214 19.04100100
55U York 44100 133 1007575
56U Pompeu Fabra 71163.63 1107 7090.90100
57Purdue U 61250 096 66.6675100
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
63U Florida 1333.33 020 066.660
64Syracuse U 1520 141 2580100
65U California - Santa Barbara 7977.77 186 7588.8885.71
66U Colorado - Boulder 101662.5 31410 71.4287.5100
67North Carolina State U 3742.85 043 7557.14100
68Southern Methodist U 11100 011 100100100
69U California - Santa Cruz 4666.66 064 66.66100100
70U Bocconi 11100 011 100100100
71U Western Ontario 2366.66 032 66.66100100
72U Kentucky 2540 021 504050
73George Washington U 2366.66 032 66.66100100
74U Georgia 2540 041 258050
75Simon Fraser U 2366.66 132 66.66100100
76U Illinois - Chicago 2366.66 032 66.66100100
77U Oregon 3837.5 083 37.5100100
78U Houston 1250 021 50100100
79Tufts U 1250 021 50100100
80Georgia State U 1425 041 25100100
81McGill U 22100 022 100100100
82George Mason U 1250 021 50100100
83U Wyoming 2366.66 032 66.66100100
84Uppsala U 11100 011 100100100
85National U Singapore 11100 011 100100100
86Claremont 11100 011 100100100
87Delaware 66100 266 100100100
88Texas - Dallas 11100 011 100100100
89Florida State 33100 133 100100100
90Colorado State 3475 043 75100100
91Tinbergen 2540 052 40100100
92CEMFI 22100 122 100100100
93Oregon State 5771.42 075 71.42100100

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
??Syracuse U 1520 100 000
??U California - Irvine 6785.71 300 000
??Penn State U 143046.66 122 1006.6614.28
??Rice U 4666.66 000 000
??North Carolina State U 3742.85 010 014.280
??Texas 214151.21 9199 47.3646.3442.85
??U Southern California 4850 000 000
??Purdue U 61250 030 0250
??Indiana 61250 100 000
??U Florida 1333.33 000 000
??Vanderbilt 92045 120 0100
??Rochester 112152.38 341 2519.049.09
??Pennsylvania 177223.61 5192 10.5226.3811.76
??Princeton 128015 2351 2.8543.758.33
??U California - Davis 202968.96 283 37.527.5815
??U North Carolina 183060 300 000
??U California - Santa Barbara 7977.77 111 10011.1114.28
??Michigan State U 112152.38 042 5019.0418.18
??Duke U 266440.62 573 42.8510.9311.53
??Stanford 157121.12 2141 7.1419.716.66
??U Iowa 51145.45 111 1009.0920
??Columbia 137716.88 2190 024.670
??Harvard 7818.64 2817 8.64100100
??U Colorado - Boulder 101662.5 322 10012.520
??Ohio State 132944.82 273 42.8524.1323.07
??Illinois 112347.82 474 57.1430.4336.36
??Carnegie Mellon U 41526.66 141 2526.6625
??Wisconsin 365664.28 242211 5039.2830.55
??U Minnesota 93129.03 643 7512.9033.33
??Washington U St Louis 42119.04 010 04.760
??Cornell 135623.21 4185 27.7732.1438.46
??MIT 108212.19 38210 12.19100100
??NYU 147219.44 280 011.110
??Chicago 246934.78 246924 34.78100100
??California Institute of Technology (Caltech) 81942.10 220 010.520
??Yale 198322.89 6240 028.910
??Iowa State U 2633.33 021 5033.3350
??Rutgers 4757.14 000 000
??Georgetown 122548 000 000
??Brown U 85614.28 090 016.070
??Maryland 215042 3135 38.462623.80
??Berkeley 189219.56 125811 18.9663.0461.11
??Johns Hopkins 92832.14 471 14.282511.11
??Northwestern 246437.5 7170 026.560
??Arizona 81266.66 210 08.330
??Texas A&M 61250 221 5016.6616.66
??Michigan 256836.76 6122 16.6617.648
??Claremont 11100 000 000
??California - Los Angeles 133636.11 461 16.6616.667.69
??U Pittsburgh 41526.66 000 000
??Arizona State 41428.57 100 000
??Boston U 173647.22 541 2511.115.88
??Virginia 334770.21 11125 41.6625.5315.15
??U California - San Diego 174835.41 5173 17.6435.4117.64
??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
??Syracuse U 1520 151 20100100
??U California - Irvine 6785.71 376 85.71100100
??Penn State U 143046.66 12513 5283.3392.85
??Rice U 4666.66 064 66.66100100
??North Carolina State U 3742.85 073 42.85100100
??Texas 214151.21 9139 69.2331.7042.85
??U Southern California 4850 063 507575
??Purdue U 61250 094 44.447566.66
??Indiana 61250 163 505050
??U Florida 1333.33 031 33.33100100
??Vanderbilt 92045 1177 41.178577.77
??Rochester 112152.38 396 66.6642.8554.54
??Pennsylvania 177223.61 5114 36.3615.2723.52
??Princeton 128015 2111 9.0913.758.33
??U California - Davis 202968.96 21914 73.6865.5170
??U North Carolina 183060 31411 78.5746.6661.11
??U California - Santa Barbara 7977.77 153 6055.5542.85
??Michigan State U 112152.38 0127 58.3357.1463.63
??Duke U 266440.62 53417 5053.1265.38
??Stanford 157121.12 243 755.6320
??U Iowa 51145.45 153 6045.4560
??Columbia 137716.88 2204 2025.9730.76
??Harvard 7818.64 261 16.667.4014.28
??U Colorado - Boulder 101662.5 31610 62.5100100
??Ohio State 132944.82 2105 5034.4838.46
??Illinois 112347.82 4126 5052.1754.54
??Carnegie Mellon U 41526.66 151 2033.3325
??Wisconsin 365664.28 2475 71.4212.513.88
??U Minnesota 93129.03 6134 30.7641.9344.44
??Washington U St Louis 42119.04 0164 2576.19100
??Cornell 135623.21 4165 31.2528.5738.46
??MIT 108212.19 341 254.8710
??NYU 147219.44 23611 30.555078.57
??Chicago 246934.78 2410 01.440
??California Institute of Technology (Caltech) 81942.10 295 55.5547.3662.5
??Yale 198322.89 673 42.858.4315.78
??Iowa State U 2633.33 062 33.33100100
??Rutgers 4757.14 074 57.14100100
??Georgetown 122548 02512 48100100
??Brown U 85614.28 0276 22.2248.2175
??Maryland 215042 3115 45.452223.80
??Berkeley 189219.56 1221 502.175.55
??Johns Hopkins 92832.14 4115 45.4539.2855.55
??Northwestern 246437.5 785 62.512.520.83
??Arizona 81266.66 2107 7083.3387.5
??Texas A&M 61250 2105 5083.3383.33
??Michigan 256836.76 6156 4022.0524
??Claremont 11100 011 100100100
??California - Los Angeles 133636.11 421 505.557.69
??U Pittsburgh 41526.66 0154 26.66100100
??Arizona State 41428.57 1134 30.7692.85100
??Boston U 173647.22 5208 4055.5547.05
??Virginia 334770.21 111918 94.7340.4254.54
??U California - San Diego 174835.41 582 2516.6611.76
??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
3Berkeley94221.423742.85
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
13Wisconsin1820904580
14Cornell92240.902633.33
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 U91181.8111100
26Brown U42615.38030
27U California - Davis111478.572366.66
28U Minnesota41040010
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 U2366.66000
57U Pittsburgh020000
58Stockholm School of Economics010000
59U Iowa1250000
60Rice U010000
61U California - Irvine3310011100
62U Florida11100000
63Syracuse U1250020
64U California - Santa Barbara010000
65U Colorado - Boulder3475000
66North Carolina State U010000
67Southern Methodist U11100000
68U Kentucky22100000
69U Georgia11100000
70Simon Fraser U22100000
71U Illinois - Chicago22100000
72U Oregon010000
73U Houston11100000
74McGill U11100000
75George Mason U1250000
76U Wyoming11100000
77Uppsala U11100000
78National U Singapore11100000
79Claremont11100000
80Texas - Dallas11100000
81Florida State2366.6611100
82Tinbergen11100000

macro

#School Name # macro accepted# macro appliedmacro percentage# total accepted# total appliedtotal percentage
0Harvard0802633.33
1Chicago2728.574757.14
2MIT0902540
3Berkeley1812.53742.85
4Princeton1911.112366.66
5Stanford14253560
6Northwestern310304580
7Pennsylvania51145.452366.66
8Yale210201714.28
9NYU4944.441250
10California - Los Angeles1616.66020
11London School of Economics5683.33000
12Columbia21216.66060
13Wisconsin661004580
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 U6785.7111100
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 Louis3560010
53U York11100000
54U Pompeu Fabra44100000
55Purdue U2366.66000
56U Pittsburgh1250000
57U Iowa2366.66000
58Rice U11100000
59U California - Irvine125011100
60U California - Santa Barbara11100000
61U California - Santa Cruz11100000
62U Bocconi11100000
63U Western Ontario2366.66000
64London Business School010000
65George Washington U1250000
66U Notre Dame010000
67Tufts U11100000
68National U Singapore11100000
69Tinbergen11100000
70CEMFI11100000

metric

#School Name # metric accepted# metric appliedmetric percentage# total accepted# total appliedtotal percentage
0Harvard0302633.33
1Chicago2366.664757.14
2MIT0302540
3Berkeley1616.663742.85
4Princeton25402366.66
5Stanford24503560
6Northwestern221004580
7Pennsylvania2366.662366.66
8Yale0301714.28
9Columbia1425060
10Wisconsin331004580
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

labor

#School Name # labor accepted# labor appliedlabor percentage# total accepted# total appliedtotal percentage
0Harvard0802633.33
1Chicago0304757.14
2MIT0502540
3Berkeley110103742.85
4Princeton01102366.66
5Stanford2633.333560
6Northwestern2633.334580
7Pennsylvania28252366.66
8Yale3837.51714.28
9NYU0301250
10California - Los Angeles1616.66020
11Columbia070060
12Wisconsin34754580
13Cornell2728.572633.33
14Michigan41136.363742.85
15Maryland3933.332540
16Texas5683.3322100
17U California - San Diego35602366.66
18Rochester030000
19Ohio State2366.66010
20Illinois1250000
21Boston U2366.6611100
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

IO

#School Name # IO accepted# IO appliedIO percentage# total accepted# total appliedtotal percentage
0Harvard1812.52633.33
1Chicago2633.334757.14
2MIT0602540
3Berkeley1128.333742.85
4Princeton0702366.66
5Stanford210203560
6Northwestern5862.54580
7Pennsylvania14252366.66
8Yale3837.51714.28
9NYU0301250
10California - Los Angeles2450020
11Columbia1714.28060
12Wisconsin221004580
13Cornell0402633.33
14Michigan34753742.85
15Maryland1333.332540
16Toulouse I11100000
17Texas4410022100
18U California - San Diego36502366.66
19Ohio State11100010
20Illinois33100000
21Boston U3310011100
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

dev

#School Name # dev accepted# dev applieddev percentage# total accepted# total appliedtotal percentage
0Harvard1244.162633.33
1Chicago310304757.14
2MIT220102540
3Berkeley82927.583742.85
4Princeton01202366.66
5Stanford220103560
6Northwestern2922.224580
7Pennsylvania21216.662366.66
8Yale62722.221714.28
9NYU21711.761250
10California - Los Angeles81457.14020
11London School of Economics5955.55000
12Columbia32711.11060
13Wisconsin81172.724580
14Cornell1147.142633.33
15Michigan111861.113742.85
16Maryland71546.662540
17Texas7710022100
18U British Columbia5771.42000
19U California - San Diego61346.152366.66
20Rochester2450000
21Ohio State1333.33010
22Illinois22100000
23Boston U6966.6611100
24Brown U42218.18030
25U California - Davis111384.612366.66
26U Minnesota4850010
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
38Indiana33100000
39Johns Hopkins1520020
40Rutgers010010
41Virginia881001250
42Vanderbilt1333.33020
43Georgetown3742.8511100
44Arizona State1250000
45Arizona11100000
46U Washington77100000
47Iowa State U11100000
48Washington U St Louis030010
49U York11100000
50U Pompeu Fabra22100000
51Purdue U4580000
52U Pittsburgh1250000
53U Iowa11100000
54U California - Irvine125011100
55U California - Santa Barbara11100000
56U Colorado - Boulder4580000
57North Carolina State U11100000
58Southern Methodist U11100000
59U California - Santa Cruz33100000
60George Washington U11100000
61U Notre Dame010000
62U Illinois - Chicago22100000
63U Oregon11100000
64U Wyoming11100000
65National U Singapore11100000
66Claremont11100000
67Delaware2210011100
68Oregon State11100000

envir

#School Name # envir accepted# envir appliedenvir percentage# total accepted# total appliedtotal percentage
0Harvard0202633.33
1MIT0102540
2Berkeley28253742.85
3Princeton0102366.66
4Stanford0103560
5Northwestern0104580
6Pennsylvania0102366.66
7Yale0401714.28
8NYU0101250
9California - Los Angeles010020
10London School of Economics11100000
11Columbia030060
12Wisconsin34754580
13Cornell24502633.33
14Michigan0303742.85
15Maryland4666.662540
16Texas01022100
17U California - San Diego0202366.66
18Ohio State11100010
19Illinois1250000
20U California - Davis35602366.66
21U Minnesota2366.66010
22Michigan State U221001250
23Duke U111001520
24Penn State U2366.6611100
25U North Carolina1250000
26Arizona11100000
27U Washington1250000
28Iowa State U11100000
29U California - Irvine2210011100
30U California - Santa Barbara3475000
31U Colorado - Boulder2366.66000
32North Carolina State U33100000
33U Oregon010000
34U Wyoming11100000
35Delaware1110011100
36Colorado State22100000
37Oregon State4580000

mone

#School Name # mone accepted# mone appliedmone percentage# total accepted# total appliedtotal percentage
0Harvard0202633.33
1Berkeley0103742.85
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

decision

#School Name # decision accepted# decision applieddecision percentage# total accepted# total appliedtotal percentage
0Harvard15202633.33
1Chicago1333.334757.14
2MIT0302540
3Berkeley0403742.85
4Princeton0402366.66
5Stanford0303560
6Northwestern441004580
7Yale0101714.28
8NYU0101250
9California - Los Angeles010020
10Columbia020060
11Wisconsin111004580
12Cornell1333.332633.33
13Michigan111003742.85
14U British Columbia010000
15U California - San Diego24502366.66
16Rochester11100000
17Illinois11100000
18Boston U125011100
19U California - Davis0102366.66
20U Minnesota11100010
21Duke U12501520
22Penn State U1110011100
23U North Carolina22100000
24Boston College11100000
25California Institute of Technology (Caltech)22100000
26Virginia111001250
27U Washington11100000
28U Pittsburgh010000

financ

#School Name # financ accepted# financ appliedfinanc percentage# total accepted# total appliedtotal percentage
0Harvard21118.182633.33
1Chicago51241.664757.14
2MIT410402540
3Berkeley1714.283742.85
4Princeton410402366.66
5Stanford3837.53560
6Northwestern4944.444580
7Pennsylvania3837.52366.66
8Yale51435.711714.28
9NYU61154.541250
10California - Los Angeles1333.33020
11London School of Economics1250000
12Columbia41330.76060
13Wisconsin661004580
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

applied

#School Name # applied accepted# applied appliedapplied percentage# total accepted# total appliedtotal percentage
0Harvard1214.762633.33
1Chicago102147.614757.14
2MIT2219.522540
3Berkeley73023.333742.85
4Princeton31915.782366.66
5Stanford52123.803560
6Northwestern61735.294580
7Pennsylvania61833.332366.66
8Yale425161714.28
9NYU41723.521250
10California - Los Angeles51338.46020
11London School of Economics11100000
12Columbia42020060
13Wisconsin141782.354580
14Cornell61442.852633.33
15Michigan92437.53742.85
16Maryland112445.832540
17Toulouse I11100000
18Texas101283.3322100
19U British Columbia22100000
20U California - San Diego61346.152366.66
21Rochester1425000
22Ohio State5771.42010
23Illinois3560000
24Boston U6966.6611100
25Brown U22010030
26U California - Davis91181.812366.66
27U Minnesota3837.5010
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 York22100000
52U Pompeu Fabra22100000
53Purdue U1333.33000
54U Pittsburgh020000
55U Iowa1250000
56Rice U010000
57U California - Irvine3310011100
58U Florida11100000
59Syracuse U1250020
60U California - Santa Barbara22100000
61U Colorado - Boulder4580000
62North Carolina State U1250000
63Southern Methodist U11100000
64U California - Santa Cruz1250000
65London Business School010000
66U Kentucky22100000
67George Washington U010000
68U Georgia11100000
69Simon Fraser U11100000
70U Illinois - Chicago22100000
71U Oregon1250000
72U Houston11100000
73George Mason U1250000
74U Wyoming22100000
75National U Singapore11100000
76Claremont11100000
77Texas - Dallas11100000
78Florida State2366.6611100
79Oregon State11100000

experiment

#School Name # experiment accepted# experiment appliedexperiment percentage# total accepted# total appliedtotal percentage
0Harvard15202633.33
1Chicago0104757.14
2MIT0402540
3Berkeley1616.663742.85
4Princeton0302366.66
5Stanford0303560
6Northwestern2633.334580
7Pennsylvania14252366.66
8Yale0201714.28
9NYU0301250
10California - Los Angeles2366.66020
11Columbia010060
12Wisconsin4666.664580
13Cornell1333.332633.33
14Michigan35603742.85
15Maryland1333.332540
16Texas2210022100
17U California - San Diego2366.662366.66
18Rochester11100000
19Ohio State4580010
20Illinois22100000
21Boston U2210011100
22Brown U1250030
23U California - Davis2366.662366.66
24U Minnesota1250010
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
59Oregon State11100000

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.