Student Quality and Reported Student Quality: Higher Education Admissions Decisions Michael Conlin Michigan State University Stacy Dickert-Conlin Michigan.

Slides:



Advertisements
Similar presentations
Academic Achievement among STEM Aspirants: Why do Black and Latino Students Earn Lower Grades than their White and Asian Counterparts? Jessica Sharkness,
Advertisements

Institutional and Student Characteristics that Predict Graduation and Retention Rates Braden J. Hosch, Ph.D. Director of Institutional Research & Assessment.
Access to Resources: Pre-college Characteristics and Experiences of Underrepresented Minority Students in the Biomedical and Behavioral Sciences Sylvia.
Percentiles and the Normal Curve
Acknowledgment: This project was developed in Stat 511 course – Fall Thanks to the College of Science for providing the data.Objective: For students.
State of College Admission 2011 David A. Hawkins Director of Public Policy and Research NACAC Presented November 10, 2011 CACNY Meeting, New York.
Mikaila Mariel Lemonik Arthur Data on Race and Education.
Voluntary Disclosure, Inference and the Strategic Behavior of Colleges Michael Conlin Michigan State University Stacy Dickert-Conlin Michigan State University.
Step Into Your Future: Understanding College Fit.
Financial Issues in Higher Education Dr. David F. Finney.
Introduction to College Admissions January 12-13, 2011.
Changing demographics of college admissions Patrick Frazier Senior Assistant Director of Admissions Western Carolina University.
Graduation Requirements Page 4 of Handbook English I, II, III, IV World Geo, World Hist, US Hist, Gov/Eco 4 Science 4 Math 1.0 of P.E. 0.5 Communication.
Inference by College Admission Departments: Bayesian or Cursed? Michael Conlin Michigan State University Stacy Dickert-Conlin Michigan State University.
Grade Point Average - Your grade point average (GPA) is calculated by dividing the total amount of quality points earned by the total amount of.
NORTHWESTHIGHNORTHWESTHIGH COLLEGES&CAREERSCOLLEGES&CAREERS.
University Education in the United States. U.S. UNIVERSITIES Quality of education overall: Figure dominantly among the highest ranked universities in.
The High School Profile Grace Cheng, Harvard College Jim Miller, Brown University Gloria Mueller, formerly of Glenbrook South HS Harvard Summer Institute.
Mrs. Breedlove (A-K) Mrs. Behm (L-Z). Program Eligibility 7-12 grade status starting Fall 2015 Students must also test college ready per the ACT, SAT,
A Statistical Analysis of The University of Oregon’s Retention Rates for Minority Groups Zoe Grover & Joe Croson June, 2006 Economics 419.
Hypothesis Testing:.
A Balanced Formula for Your College Applications The three categories that will help you find confidence.
Understanding Your Aid 1 High School Financial Literacy #2.
State of College Admission 2009 Report David A. Hawkins Director of Public Policy and Research NACAC Melissa E. Clinedinst Assistant Director of Research.
Presentation Outline  Introductions  Why are “price sensitivity” and “value” important?  Strategic pricing & value enhancement framework  From research.
Who Are Our Students? A longitudinal report on the profile of Carleton students.
Anxiety 101: A Short Course in College Admission Presented by Campus Planning Inc.
Asian Americans and Affirmative Action. What is Affirmative Action? Institutional efforts to increase the number of underrepresented minorities in U.S.
COLLEGE PLANNING PRESENTATION.  Exciting  Stressful  Overwhelming  Time Consuming.
Screening, Signaling and Voluntary Disclosure. Screening and Signaling Definitions: Screening- An attempt by an uninformed party to sort individuals according.
Kenyon College 2008 Financial Aid Optimization Analysis Prepared October 2008.
Chapter 6 Lecture 3 Sections: 6.4 – 6.5.
1 Do UK higher education students overestimate their starting salary? John Jerrim Institute of Education, University of London.
Geoffrey Allerton. Pd. 1 Architecture. Key Facts Located in Pittsburgh Pennsylvania They offer a Bachelors' and Graduate Degree Has an urban setting It.
COLLEGE PLANNING PRESENTATION.  Exciting  Stressful  Overwhelming  Time Consuming.

Voluntary Disclosure and the Strategic Behavior of Colleges Michael Conlin Michigan State University Stacy Dickert-Conlin Michigan State University Gabrielle.
Self Confidence and Diversity at MIT Lizz Albany, Olivia Gierlich, Peter Lee, and Michael Plasmeier.
Voluntary Disclosure Not Covered in Textbook. You’re on a job interview and the interviewer knows what the distribution of GPAs are for MBA students at.
 It’s not just about graduation!  We want to prepare your child to become an independent, responsible, contributing member of society.  This is your.
University of North Carolina at Chapel Hill Undergraduate Enrollment Growth Study Interim Report Presented to the Board of Trustees March 27, 2008.
Chapter 6 Lecture 3 Sections: 6.4 – 6.5. Sampling Distributions and Estimators What we want to do is find out the sampling distribution of a statistic.
Examining the Enrollment and Persistence of Students with Discrepant High School Grades and Standardized Test Scores Anne Edmunds, Ed.D. Higher Education.
SUPERINTENDENT’S REPORT TO THE BOARD OF EDUCATION COLLEGE ADMISSION PROCESS Board Presentation January 15, 2014 Presented By: Frank Felix Ruben Felix Bette.
My life, my style and my culture College students from Hispanic and Caucasian families differ: How are the differences useful in understanding how families.
Take out a piece of paper. Typical SAT Question How many non-overlapping spaces can you cut the SHADED space of the donut into with just 2 straight lines?
Today’s Students: What Do They Want and Get in Academic Advising? 2011 NASPA Annual Conference March 14, 2011 Janine M. Allen Professor of Education Portland.
Presentation Prepared by Mike Horton Riverside County Office of Education.
Mrs. Breedlove (A-K) Mrs. Behm (L-Z). Program Eligibility 7-12 grade status starting Summer 2016 Students must also test college ready per the ACT, SAT,
JUNIOR YEAR.  English4 credits  Math3 credits  Science3 credits  Social Studies3 credits  Physical Education1 ½ credits  Financial Literacy ½ credit.
Agenda Getting Started as Juniors Selecting Colleges
State of College Admission
How Can High School Counseling Shape Students’ Postsecondary Attendance? Exploring the Relationship between High School Counseling and Students’ Subsequent.
Let’s Get College-Ready
Inference: Bayesian, Cursed, …
Heritage High School College Planning 101
Affirmative Action Bans and the “Chilling Effect”
Michael Conlin Michigan State University
Pace’s Inaugural Retention Conference June 16, 2017
Trends in College Admissions (From the National Association for College Admission Counseling and the National Center for Public Policy and Higher Education)
Agenda Getting Started as Juniors Selecting Colleges
Allison Ambrose, PhD Illinois State University
University of British Columbia
Linda DeAngelo CIRP Assistant Director for Research
Amir Ghaisi Grigorios Fountas Panos Anastasopoulos Fred Mannering
Class of 2022 Enrollment
Getting Prepared for College
Getting Prepared for College
Advanced Placement Enrollments & Exam Results
Junior Year: Fall Semester
Presentation transcript:

Student Quality and Reported Student Quality: Higher Education Admissions Decisions Michael Conlin Michigan State University Stacy Dickert-Conlin Michigan State University Jeffrey Wooldridge Michigan State University Gabrielle Chapman Syracuse University University of Wisconsin – May 1, 2007

Overview Introduction to policy and goals Data Reduced form Model Future Work

Optional SAT Policies Whether they get 1300 or 1250 doesn’t really tell you anything about them as a person or a student” says Ken Himmelman, Bennington dean of admissions. All the attention to numbers “becomes so crazy it’s almost a distraction.” - Bruno in USA Today (2006)

Optional SAT Policies “I SOMETIMES think I should write a handbook for college admission officials titled “How to Play the U.S. News & World Report Ranking Game, and Win!” I would devote the first chapter to a tactic called “SAT optional.” The idea is simple: tell applicants that they can choose whether or not to submit their SAT or ACT scores. Predictably, those applicants with low scores or those who know that they score poorly on standardized aptitude tests will not submit. Those with high scores will submit. When the college computes the mean SAT or ACT score of its enrolled students, voilà! its average will have risen. And so too, it can fondly hope, will its status in the annual U.S. News & World Report’s college rankings.” Colin Driver, President of Reed College, New York Times, 2006

Optional SAT Policies The thesis, first stated last year by The New Republic, is that colleges are being less than honest about why they abolish requirements that applicants submit their SAT scores. Behind the rhetoric about "enhancing diversity" and creating a more "holistic approach" to admissions, the theory goes, many colleges "go optional" on the SAT to improve their rankings. The logic is rather simple: At an SAT-optional college, students with higher scores are far more likely to submit them, raising the institution's mean SAT score and hence the heavily test-influenced rankings. Brownstein (2001) in The Chronicle of Higher Education

Prevalence of Optional Policy As of Spring 2007, more than 700 colleges have SAT- or ACT- optional policies. 24 of the top 100 liberal arts colleges ranked by U.S. News & World are SAT- or ACT- optional. (Bruno, 2006)

Research Questions How much does a school attempt to maximize the quality of their student body compared to the reported quality of their student body? How would the composition of the student body change if the schools did not consider rankings when making admission decisions? Key: Use optional SAT Policy as means to identify How does this policy inform the voluntary disclosure literature?

Data Application data for 2 liberal arts schools in the north east Each with approximately 1800 students enrolled. Both report a typical SAT I score in the upper 1200s/1600 College X: 2 years ≈ 5 years after the optional policy was instituted. College Y the year after the optional policy was instituted.

College Board Data SAT scores for those who elected not to submit them to the college. Student Descriptive Questionnaire (SDQ) SAT II Scores Self Reported income High school GPA High school activities

Optional SAT I policies College X required applicants to choose between submitting the ACT scores or three SAT II: Subject Tests must submit one of the above if do submit SATI scores 15.3 percent of the 7023 applicants choose option At College Y, must submit SAT II ACT three Advanced Placement (AP) exams or a combination of the above testing requirements percent of the 3054 applicants choose option

Voluntary Disclosure Models with Zero Disclosure Costs Example: Student i with given characteristics has the following probability distribution in term of SAT I scores: School knows distribution of SAT I scores and applies Bayes Rule when inferring an SAT score for a student who doesn’t report. Bayesian Nash Equilibrium results in every type except the worst revealing and the worst being indifferent between revealing and not revealing. SAT I ScoreProbability

Voluntary Disclosure Models with Zero Disclosure Costs Comments: Distribution depends on student characteristics that are observable to the school such as high school GPA. With positive disclosure costs, the “unraveling” is not complete and only the types with the lowest SAT I scores do not disclose. Eyster and Rabin (Econometrica, 2005) propose a new equilibrium concept which they call cursed equilibrium.

Table 1 College X N=7,023 College Y N=3,504 ConsiderNot ConsiderSSConsiderNot Consi der SS Income Missing (sr) (0.498) (0.499) (0.497) (0.497) Income <50K (sr) (0.289) (0.318) ** (0.264) (0.296) ** 50K <Income <100K (sr) (0.390) (0.393) (0.366) (0.335) ** SAT1 Score 1272 (124) 1137 (113) *** 1267 (144) 1229 (120) *** Female Student (0.475) (0.416) *** (0.500) (0.498) *** White (0.370) (0.374) (0.328) (0.348) Attended Private HS (0.499) (0.500) * (0.478) (0.495) *** From State where College resides (0.339) (0.328) (0.472) (0.436) *** From Northeast (0.481) (0.491) ** (0.500) (0.496) *** N

Table 1 College X N=7,023 College Y N=3,504 ConsidrNot ConsiderSSConsiderNot Consi der SS Income Missing (sr) (0.498) (0.499) (0.497) (0.497) Income <50K (sr) (0.289) (0.318) ** (0.264) (0.296) ** 50K <Income <100K (sr) (0.390) (0.393) (0.366) (0.335) ** SAT1 Score 1272 (124) 1137 (113) *** 1267 (144) 1229 (120) *** Female Student (0.475) (0.416) *** (0.500) (0.498) *** White (0.370) (0.374) (0.328) (0.348) Attended Private HS (0.499) (0.500) * (0.478) (0.495) *** From State where College resides (0.339) (0.328) (0.472) (0.436) *** From Northeast (0.481) (0.491) ** (0.500) (0.496) *** N

Table 2 College XCollege Y Consider SAT I Do Not Consider SAT I SSConsider SAT I Do Not Consider SAT I SS SAT I Score (1600) – all applicants 1272 (124) [5883] 1137 (112) [1072] ***1267 (144) [2659] 1229 (120) [845] *** Predicted SAT I Score * (based on those that submitted) 1272 (88) [5879] 1224 # (79) [1072] ***1262 (77) [2659] 1258 # (79) [845] Probability of Acceptance.417 (0.493) [5883].392 (0.488) [1072].445 (0.497) [2659].488 (0.500) [845] ** SAT I Score conditional on Acceptance 1323 (110) [2456] 1171 (98) [421] ***1344 (115) [1182] 1260 (103) [412] *** Probability of Enrolling if Accepted.294 (0.455) [2456].451 (0.498) [421] ***.297 (0.457) [1182].328 (0.470) [412] SAT I Score conditional on Enrollment 1281 (107) [725] 1155 (99) [190] ***1299 (114) [351] 1227 (97) [135] *** Freshman GPA (4.0 Scale for College X; 100 Scale for College Y) 3.29 (0.428) [721] 3.26 (0.392) [190] 84.9 (5.4) [334] 84.7 (5.2) [132]

Reduced Form Student’s Decisions: Submit SAT I and Apply Early Enroll College’s Decisions: Admit Financial Aid Grant Followup – Freshman GPA

Table 3 Linear Probability - SUR (Dependent variable Submit SAT = 1) (Dependent variable Apply Early = 1) College XCollege Y Not Consider ed EarlyNot conside red Early Income Missing (sr)0.025** (0.012) (0.009) (0.022) (0.018) Income <50K (sr) (0.016) (0.012) 0.070** (0.031) (0.023) 50K <Income <100K (sr)0.014 (0.013) (0.010) (0.025) (0.018) Intend to Apply for Financial Aid (0.009) *** (0.007) *** (0.016) *** (0.012) SAT1 Score/ *** (0.004) *** (0.003) *** (0.007) *** (0.005) SAT2 Score(s) available (1=yes)-0.301*** (0.053) (0.040) *** (0.091) 0.178*** (0.067) Average SAT2/100*SAT2 Score(s) available (1=yes) 0.052*** (0.009) (0.006) 0.106*** (0.015) *** (0.011) _Constant1.628*** (0.059) 0.212*** (0.044) 1.145*** (0.097) 0.471*** (0.071) N R2R

Table 3 Linear Probability (Dependent variable Submit SAT = 1) (Dependent variable Apply Early = 1) College XCollege Y Not Consid ered EarlyNot consid ered Early No High School GPA reported (sr)0.018 (0.019) (0.014) (0.033) (0.024) HS GPA A+ (SR)0.062*** (0.024) (0.018) (0.041) ** (0.030) HS GPA A (sr)0.069*** (0.017) (0.013) (0.032) (0.023) HS GPA A- (sr)0.041*** (0.015) (0.011) 0.060** (0.030) (0.022) HS GPA B+ (SR) (0.016) (0.012) 0.067** (0.030) (0.022) HS GPA B- (SR) (0.029) (0.022) * (0.056) (0.041) HS GPA C or below (sr)-0.109** (0.054) (0.040) * (0.093) (0.068) N R2R

Table 3 Linear Probability (Dependent variable Submit SAT = 1) (Dependent variable Apply Early = 1) College XCollege Y Not Consid ered EarlyNot conside red Early Female Student0.033*** (0.009) (0.007) 0.033** (0.014) ** (0.011) African American-0.113*** (0.025) ** (0.019) (0.041) *** (0.030) Native American0.051 (0.067) (0.050) (0.157) (0.114) Asian American (0.020) ** (0.015) (0.032) ** (0.024) Hispanic (0.021) (0.016) (0.038) ** (0.028) Unknown Race0.001 (0.019) ** (0.014) Legacy (1=yes)0.012 (0.026) 0.043** (0.020) (0.029) 0.068*** (0.022) Attended Private HS0.021** (0.009) (0.007) 0.042*** (0.016) (0.012) N R2R

Table 3 Linear Probability (Dependent variable Submit SAT = 1) (Dependent variable Apply Early = 1) College XCollege Y Not Consid ered EarlyNot conside red Early Filled in College Board Survey (sdq)0.046*** (0.016) (0.012) (0.034) * (0.021) # of HS Extracurricular Activities (sr)*Filled in sdq (0.002) (0.001) (0.004) (0.003) # of HS sports (sr)*Filled in sdq0.003 (0.003) (0.002) (0.005) 0.007** (0.004) # of HS offices/awards (sr)*Filled in sdq (0.003) (0.002) * (0.006) (0.005) # of HS honors classes (sr)*Filled in sdq (0.001) (0.001) 0.005** (0.002) (0.002) _Constant1.628*** (0.059) 0.212*** (0.044) 1.145*** (0.097) 0.471*** (0.071) N R2R

Table 3 Linear Probability - SUR (Dependent variable Submit SAT = 1) (Dependent variable Apply Early = 1) College XCollege Y Not Consider ed EarlyNot conside red Early Income Missing (sr)0.025** (0.012) (0.009) (0.022) (0.018) Income <50K (sr) (0.016) (0.012) 0.070** (0.031) (0.023) 50K <Income <100K (sr)0.014 (0.013) (0.010) (0.025) (0.018) Intend to Apply for Financial Aid (0.009) *** (0.007) *** (0.016) *** (0.012) SAT1 Score/ *** (0.004) *** (0.003) *** (0.007) *** (0.005) SAT2 Score(s) available (1=yes)-0.301*** (0.053) (0.040) *** (0.091) 0.178*** (0.067) Average SAT2/100*SAT2 Score(s) available (1=yes) 0.052*** (0.009) (0.006) 0.106*** (0.015) *** (0.011) _Constant1.628*** (0.059) 0.212*** (0.044) 1.145*** (0.097) 0.471*** (0.071) N R2R

Table 3 Linear Probability (Dependent variable Submit SAT = 1) (Dependent variable Apply Early = 1) College XCollege Y Not Consid ered EarlyNot consid ered Early No High School GPA reported (sr)0.018 (0.019) (0.014) (0.033) (0.024) HS GPA A+ (SR)0.062*** (0.024) (0.018) (0.041) ** (0.030) HS GPA A (sr)0.069*** (0.017) (0.013) (0.032) (0.023) HS GPA A- (sr)0.041*** (0.015) (0.011) 0.060** (0.030) (0.022) HS GPA B+ (SR) (0.016) (0.012) 0.067** (0.030) (0.022) HS GPA B- (SR) (0.029) (0.022) * (0.056) (0.041) HS GPA C or below (sr)-0.109** (0.054) (0.040) * (0.093) (0.068) N R2R

Table 3 Linear Probability (Dependent variable Submit SAT = 1) (Dependent variable Apply Early = 1) College XCollege Y Not Consid ered EarlyNot conside red Early Female Student0.033*** (0.009) (0.007) 0.033** (0.014) ** (0.011) African American-0.113*** (0.025) ** (0.019) (0.041) *** (0.030) Native American0.051 (0.067) (0.050) (0.157) (0.114) Asian American (0.020) ** (0.015) (0.032) ** (0.024) Hispanic (0.021) (0.016) (0.038) ** (0.028) Unknown Race0.001 (0.019) ** (0.014) Legacy (1=yes)0.012 (0.026) 0.043** (0.020) (0.029) 0.068*** (0.022) Attended Private HS0.021** (0.009) (0.007) 0.042*** (0.016) (0.012) N R2R

TABLE 4 Linear Probability (Dependent variable Accepted = 1) College XCollege Y Applied Early Admission0.508*** (0.020) 0.510*** (0.020) 0.345*** (0.023) 0.346*** (0.023) Income <50K (sr)0.092*** (0.021) 0.093*** (0.021) (0.031) (0.031) 50K <Income <100K (sr)0.037** (0.016) 0.040** (0.016) (0.025) (0.025) Intend to Apply for Financial Aid-0.020* (0.012) * (0.012) *** (0.016) *** (0.016) SAT1 Score/ *** (0.006) 0.055*** (0.012) 0.135*** (0.007) 0.056** (0.028) Requested school use SAT1 Score-0.114*** (0.015) *** (0.143) *** (0.052) *** (0.326) Requested school use SAT1 Score* SAT1 Score/ ** (0.012) 0.083*** (0.028) SAT2 Score(s) available (1=yes)-0.779*** (0.068) *** (0.127) *** (0.091) *** (0.093) Average SAT2/100*SAT2 Score(s) available (1=yes) 0.133*** (0.011) 0.059*** (0.021) 0.137*** (0.015) 0.135*** (0.015) Requested school use SAT2 Score (0.017) *** (0.132) ** (0.056) * (0.324) Requested school use SAT2 Score* SAT2 Score/ *** (0.022) (0.018) N R2R

TABLE 4 Linear Probability (Dependent variable Accepted = 1) College XCollege Y No High School GPA reported (sr) 0.132*** (0.024) 0.132*** (0.024) 0.115*** (0.032) 0.115*** (0.032) HS GPA A+ (SR)0.346*** (0.031) 0.345*** (0.031) 0.308*** (0.040) 0.302*** (0.040) HS GPA A (sr)0.292*** (0.021) 0.295*** (0.021) 0.267*** (0.031) 0.265*** (0.031) HS GPA A- (sr)0.203*** (0.019) 0.205*** (0.019) 0.186*** (0.030) 0.184*** (0.030) HS GPA B+ (SR)0.106*** (0.020) 0.107*** (0.020) 0.113*** (0.030) 0.112*** (0.030) HS GPA B- (SR)-0.089** (0.037) ** (0.037) (0.056) (0.056) HS GPA C or below (sr) (0.069) (0.069) (0.092) (0.092) N R2R

TABLE 4 Linear Probability (Dependent variable Accepted = 1) College XCollege Y Female Student-0.163*** (0.011) *** (0.011) 0.087*** (0.014) 0.086*** (0.014) African American0.387*** (0.032) 0.387*** (0.032) 0.504*** (0.040) 0.499*** (0.040) Native American0.092 (0.084) (0.084) (0.155) (0.155) Asian American0.154*** (0.025) 0.154*** (0.025) 0.289*** (0.032) 0.287*** (0.032) Hispanic0.141*** (0.027) 0.139*** (0.027) 0.406*** (0.038) 0.402*** (0.038) Unknown Race-0.081*** (0.023) *** (0.023) Legacy (1=yes)0.204*** (0.033) 0.202*** (0.033) 0.074** (0.029) 0.075*** (0.029) Attended Private HS0.031*** (0.011) 0.031*** (0.011) 0.049*** (0.016) 0.050*** (0.016)

TABLE 4 Linear Probability (Dependent variable Accepted = 1) College XCollege Y From State where College resides (0.015) (0.015) (0.017) (0.017) From Midwest0.106*** (0.024) 0.112*** (0.024) (0.035) (0.035) From West (0.019) (0.019) (0.028) (0.028) From South-0.031* (0.018) * (0.018) 0.121*** (0.032) 0.119*** (0.032) Filled in College Board Survey0.034* (0.021) (0.021) (0.025) (0.025) # of HS Extracurricular Activities (sr)*Filled in College Board Survey 0.004* (0.002) 0.004* (0.002) (0.004) (0.004) # of HS sports (sr)*Filled in sdq-0.007** (0.003) ** (0.003) (0.005) (0.005) # of HS offices/awards (sr)*Filled in sdq 0.008** (0.004) 0.009** (0.004) (0.006) (0.006) # of HS honors classes (sr)*Filled in sdq 0.003** (0.001) 0.003** (0.001) 0.004** (0.002) 0.004* (0.002) _Constant-0.732*** (0.076) *** (0.141) *** (0.106) (0.326) N R2R

TABLE 5 – Tobit – College Y only (Financial Aid Award|Accepted) Applied Early Admission2248* (1151) 1678 (1352) Income Missing (sr)7467*** (1223) 10547*** (1425) Income <50K (sr)15652*** (1615) 23783*** (1997) 50K <Income <100K (sr)9737*** (1278) 16903*** (1536) Intend to Apply for Financial Aid23914*** (1062) SAT1 Score/ (1495) 544 (1802) Requested school use SAT1 Score2474 (18073) 1077 (22004) Requested school use SAT1 Score* SAT1 Score/ (1503) 45 (1816) SAT2 Score(s) available (1=yes)737 (945) -922 (1130) Requested school use SAT2 Score6468 (17456) (21168) Requested school use SAT2 Score* SAT2 Score/ (938) -788 (1127) N1594 R2R

TABLE 5 – Tobit – College Y only (Financial Aid Award|Accepted) No High School GPA reported (sr)-3073 (2372) (2744) HS GPA A+ (SR)-292 (2367) 8427*** (2805) HS GPA A (sr)98 (2180) 5466** (2557) HS GPA A- (sr)-2679 (2188) 911 (2554) HS GPA B+ (SR)-3831 (2326) (2683) HS GPA B- (SR)-3300 (4908) 640 (5781) HS GPA C or below (sr)11220 (11801) 8594 (15226) N1594 R2R

TABLE 5 – Tobit – College Y only (Financial Aid Award|Accepted) Female Student142 (758) -20 (902) African American3728** (1876) 11866*** (2373) Native American-285 (6417) 2350 (7842) Asian American4507*** (1375) 7090*** (1686) Hispanic6644*** (1685) 12556*** (2066) Legacy (1=yes)1469 (1528) (1814) Attended Private HS-2591*** (865) -5665*** (1023) From State where College resides684 (860) -26 (1033) From Midwest321 (1888) -891 (2227) From West-1094 (1568) -3284* (1829) From South-498 (1671) (1988) _Constant-31521* (18315) (22150)

TABLE 6 - Linear Probability (Dependent variable Enrolled = 1|Accepted) College XCollege Y Applied Early Admission0.679*** (0.022) 0.659*** (0.029) Income Missing (sr)0.010 (0.020) 0.051* (0.028) Income <50K (sr)0.078*** (0.029) (0.046) 50K <Income <100K (sr)0.020 (0.023) (0.034) Intend to Apply for Financial Aid0.022 (0.017) (0.021) SAT1 Score/ *** (0.009) * (0.027) Did not want SAT1 considered (0.023) *** (0.012) SAT2 Score(s) available (1=yes)0.280** (0.109) 0.130*** (0.040) Average SAT2/100*SAT2 Score(s) available (1=yes) ** (0.017) (0.147) Wanted SAT II considered (0.025) (0.022) N R2R

TABLE 6 - Linear Probability (Dependent variable Enrolled = 1|Accepted) College XCollege Y No High School GPA reported (sr) (0.039) ** (0.056) HS GPA A+ (SR)-0.114*** (0.043) ** (0.060) HS GPA A (sr)-0.071** (0.036) *** (0.053) HS GPA A- (sr)-0.076** (0.034) ** (0.052) HS GPA B+ (SR) (0.035) (0.054) HS GPA B- (SR)0.134 (0.085) (0.128) HS GPA C or below (sr) (0.193) (0.383) N R2R

TABLE 6 - Linear Probability (Dependent variable Enrolled = 1|Accepted) College XCollege Y Female Student0.011 (0.015) (0.019) African American-0.186*** (0.040) ** (0.057) Native American0.213* (0.127) 0.627*** (0.189) Asian American-0.115*** (0.033) * (0.038) Hispanic-0.171*** (0.038) ** (0.048) Unknown Race (0.036) Legacy (1=yes)0.057 (0.037) (0.038) Attended Private HS-0.045*** (0.016) *** (0.022) From State where College resides (0.022) (0.023) From Midwest (0.032) (0.045) From West0.008 (0.026) (0.036) From South (0.025) (0.040)

TABLE 6 - Linear Probability (Dependent variable Enrolled = 1|Accepted) College XCollege Y Filled in College Board Survey (0.030) (0.034) # of HS Extracurricular Activities (sr)*Filled in College Board Survey (0.003) 0.010** (0.005) # of HS sports (sr)*Filled in sdq (0.004) (0.007) # of HS offices/awards (sr)*Filled in sdq (0.005) (0.008) # of HS honors classes (sr)*Filled in sdq (0.002) (0.003) _Constant1.060*** (0.128) 0.808*** (0.182) N R2R

TABLE 7 – OLS Freshman GPA College X (4.0 Scale) College Y (100 point scale) Applied Early Admission (0.026) (0.506) Income Missing (sr) (0.036) (0.707) Income <50K (sr) (0.049) ** (1.224) 50K <Income <100K (sr) (0.041) * (0.894) Intend to Apply for Financial Aid0.080*** (0.030) (0.692) Financial Aid Grant ( ) SAT1 Score/ ** (0.016) (0.313) Did not want SAT1 considered0.046 (0.035) (0.673) Requested school use SAT2 Score0.050 (0.042) (0.894) SAT2 Score(s) available (1=yes)-0.529*** (0.1812) ** (3.584) Average SAT2/100*SAT2 Score(s) available (1=yes) 0.088*** (0.029) 1.571*** (0.564)

TABLE 7 – OLS Freshman GPA College X (4.0 Scale) College Y (100 point scale) No High School GPA reported (sr)0.074 (0.060) (1.169) HS GPA A+ (SR)0.327*** (0.082) 5.102*** (1.450) HS GPA A (sr)0.310*** (0.056) 4.581*** (1.099) HS GPA A- (sr)0.124** (0.053) 2.737** (1.081) HS GPA B+ (SR)0.101* (0.052) 2.006* (1.050) HS GPA B- (SR)-0.280** (0.110) (2.366) HS GPA C or below (sr)0.262 (0.267) (5.267) Female Student0.160*** (0.027) 1.282*** (0.472) African American-0.275*** (0.078) (1.622) Native American-0.289* (0.154) *** (2.897) Asian American (0.068) (1.173) Hispanic-0.407*** (0.077) ** (1.360) Unknown Race (0.067)

TABLE 7 – OLS Freshman GPA College X (4.0 Scale) College Y (100 point scale) Filled in College Board Survey (0.053) (0.851) # of HS Extracurricular Activities (sr)*Filled in College Board Survey (0.006) (0.118) # of HS sports (sr)*Filled in sdq (0.008) ** (0.161) # of HS offices/awards (sr)*Filled in sdq (0.010) (0.208) # of HS honors classes (sr)*Filled in sdq (0.003) (0.072) _Constant2.567*** (0.212) *** (4.319) N R2R

Literature on College Objective Function Ehrenberg (1999) single well-defined objective function may explain “fairly well the behavior of small liberal arts colleges…” (page 101). Epple, Romano, and Seig (2006) GE model students are matched with institutions of higher education, how financial aid packages are selected for different students, and how educational expenditures vary across schools. assume a school maximizes quality(average quality of the student body, school expenditure per student, and the mean income of the student body) s.t. balanced budget constraint and a fixed student body size. Ours allows uncertainty associated with student body size Our objective function reported average student body quality gender and racial compositions of the student body

College’s Objective Function The Liberal Art Colleges make decisions to maximize the mean quality of the student body in current and subsequent years The school decides whether to admit each student i=1…N and how much financial aid to offer student i (fa i ) in order to maximize the objective function

Ψ i is probability student i is admitted and attends P, sticker price of college fa i, financial aid offered to student i Λ P is the perceived average ability of the incoming students, Λ R is the reported average ability of the incoming students γ is the weight the college places on perceived quality relative to reported quality f(Ω) is a function of the demographic characteristics of the student body.

Student’s maximization problem Whether or not to apply early decision Whether or not to submit SAT I score

Ψ i is probability student i is admitted and attends WTP i is student i’s willingness to pay to attend the school C sub,I is i’s cost of submitting her SAT I score

Ψ i (early decision, submit SAT I)

Conclusions Students are strategic: Lower actual SAT I scores more likely to choose option Same students have higher predicted scores Colleges are strategic: Colleges are less likely to admit students who submit their SAT I scores, unless their SAT I scores are particularly high Suggestive of maximizing reported quality College goals appear to include diversity

Future Work Estimate Model to determine the weight the college places on perceived quality relative to reported quality (γ). Simulate the Model to determine how admissions would change if γ = 1 and how the admissions changes affect quality of student body. Estimate how school infers SAT score for a student who doesn’t report (Bayesian Nash Equilibrium or Cursed Equilibrium?)