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EC2726: Theoretical and Empirical Perspectives on Entrepreneurship: Finance

Semester: 

Spring

Offered: 

2019

Certificates of Distinction and Excellence in Teaching, Harvard University
TEPE explores scholarly work from economics and finance disciplines regarding entrepreneurship—the formation and growth of new firms. While work on this topic dates back to Schumpeter and earlier, academic research regarding entrepreneurship has exploded...

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Ec2726: Theoretical and Empirical Perspectives on Entrepreneurship: Economics

Semester: 

Spring

Offered: 

2018

TEPE explores scholarly work from economics and finance disciplines regarding entrepreneurship—the formation and growth of new firms. While work on this topic dates back to Schumpeter and earlier, academic research regarding entrepreneurship has exploded over the last decade. Reflecting the complex nature of the entrepreneurship, TEPE touches on multiple academic disciplines and research methodologies. 

Ec 2727 Empirical Methods in Financial Economics

Semester: 

Spring

Offered: 

2018
The goal of this course is to provide a rigorous, PhD-level introduction to the modern empirical toolkit that is used in corporate finance and asset pricing. Thus, the course is designed to complement the PhD Asset Pricing course (Economics 2723), the PhD Corporate Finance course (Economics 2725), and the PhD Behavioral Finance course (Economics 2728). The course shows how to apply these empirical methodologies to answer research questions in financial economics. We will frequently use the literatures on (i) credit supply shocks, (ii) investment cash flow sensitivity, and (iii) corporate... Read more about Ec 2727 Empirical Methods in Financial Economics

ECON1123 - Introduction to Econometrics

Semester: 

Fall

Offered: 

2017

Economics 1123 introduces students to multiple regression and related methods for analyzing data in economics and associated disciplines. Topics include: multiple regression, regression with discrete random variables, instrumental variables regression, analysis of random experiments and quasi- experiments, and regression with time series data, including applications to ”big data”. Students will learn how to conduct and critique empirical studies. The course emphasizes empirical applications; the mathematical theory of econometrics will be introduced only as needed and will not be a...

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