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Empirical Finance: Identification Strategies in Corporate Finance

May 6 - May 7

Prerequisites

The course is designed as a first-year Ph.D. course. The prerequisites are knowledge of corporate finance theory and econometrics at a M.Sc. level and an ability to work independently with data using a statistical program such as Stata.

Students must participate in the whole course and do all problem sets.

Aim and Objective

The aim of the class is to introduce PhD students in finance and related fields to identification strategies in corporate finance.

The course is designed to provide an introduction to some of the empirical
methods used to identify causal effects in corporate finance.

We will examine how to estimate causal effects in the presence of
potentially unobserved confounding factors and how to make proper
statistical inference about empirical estimates.

The goal of the course is to provide PhD students with a methodological
framework that will enhance their ability to design sound identification
strategies in the area of corporate finance.

Course content

The course is designed to provide an introduction to some of the empirical methods used to identify causal effects in corporate finance. We will examine how to estimate causal effects in the presence of potentially unobserved confounding factors and how to make proper statistical inference about empirical estimates.

The goal of the course is to provide PhD students with a methodological framework that will enhance their ability to design sound identification strategies in the area of corporate finance.

The course content has three main elements:
1. The students will be introduced to the main empirical methods used to identify causal effects in corporate finance. The lectures covers the main econometric challenges as well as guidance on how to estimate causal effects.
2. The course combines lectures on microeconometrics with lectures on seminal papers that apply the empirical methods to research questions in the area of corporate finance.
3. The course has a two problem sets that students must complete.

For further information and registration please follow the link to the CBS course page.

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.

Details

Other

Event language
English
Event Type
PhD course
ECTS (leave empty for none)
2.5