Type of Undergrad: Top research institution in the country (Latin America), Economics major.
Undergrad Ranking: 54th out of almost 300 people
Type of Undergrad: Doctoral Stream MA in Econ at same University as undergrad.
Grad Ranking: 4th out of 38
GRE: 780Q, 550V, 3.5 AW
GMAT: 710 Overall, Percentile 95%Q, 83%V.
Math Courses: Calc I,II, Statistical Probability, Statistical Inference, Classic Algebra, Linear and Matrix Algebra, Optimization Methods, Mathematical Economics (Differential Equations).
Econ Courses:
UG: Intro Econ, Intro Micro, Intermediate Micro I & II, Industrial Organization, Intro Macro, Intermediate Macro I & II, International Economics, Econometrics, Urban Economics, Econ Growth Theory.
Graduate: Micro Theory (MWG), Macro Theory (Journal articles), Econometric Theory incl. Probability Theory (Spanos, Greene), Applied Econometrics (Hamilton, Maddala, Baltagi), Resource Economics (Journal articles), Behavioral Economics (Becker + Journal articles), Economics of Regulation (Tirole), Macroeconomic Programming (too many things to mention!), Social Projects Evaluation (Fontaine + Journal articles).
Letters of Recommendation: 3 Profs from my alma mater (two econometricians who graduated from Econ departments ranked 30-50, plus the director of grad studies who graduated at a top-15 institution), 1 prof from the current B-school I work at (graduated from a B-school in Europe, but who has held visiting positions at several top-5 US schools) and 1 letter from a professor (Info Systems and Technology Management) at a US Top 30 B-school who studied at a top-5 PhD program in the New England area. To all I related either as a student, research assistant, or both.
Research Experience: RA for three years: one at my alma mater's Econ department, two at a nascent local B-school. Several working papers.
Publications: Published an empirical paper on an ISI indexed blind-refereed minor journal, and a chapter on Maximum Likelihood Estimation on a Math for Economists textbook.
Teaching Experience: TA for entire Econometrics and Statistics sequence, undergrad and graduate Economics, and MBA.
Lecturer for graduate econ: Math camp (you know, the pre-enrollment course we'll all have to go through before our PhD...I have taught it!), plus Introductory Econometrics and Optimization Methods the following term. Also lecturer of Statistical Inference (for 2nd year undergrad business and econ) and Advanced Econometrics (for 6th year engineering students).
Research Interests: Industrial Organization, Econometrics.
SOP: Prepared over a 18 months timeframe.
Other: Male, single, 25 years old. Since I didn't take analysis at college, self taught Real Analysis from Baby Rudin and Topology from Ivorra. Pointed it out on my
SOP.
RESULTS:
Acceptances: none so far
Waiting: UCLA (Anderson) [interviewed, shortlisted according to prof, but "not admitted" according to PhD program secretary]
Rejections: Northwestern (Econ), Chicago (GSB), Minnesota (Econ), Stanford GSB (EA&P), Duke (Fuqua), Brown (Econ).
Pending: NYU (Stern), MIT (Sloan) [these two already notified their admits
], UCSD (Econ)
What would you have done differently?
Don't quite know yet
. Prepared this season's application for years. As Mr. Keen, I don't know what a Micro or Macro course is without calculus. Have done my best throughout years to get admitted at a good place and so far I only have been "booted out". Maybe I applied to one too many business schools. Should have tried more Econ schools (2 top 10's) and some definite safeties.
Not sure if I want to go thru this process once again.
