1105790

Course
Applied Econometrics for Researchers - Fall 2020 / ONLINE

Faculty

Hans Christian Kongsted, Professor, Department of Strategy and Innovation, Copenhagen Business School, Email: hck.si@cbs.dk

Vera Rocha, Tenure-track Assistant Professor, Department of Strategy and Innovation, Copenhagen Business School, Email: vr.si@cbs.dk 

Rita Bonvicini, Teaching assistant, Department of Strategy and Innovation, Copenhagen Business School, E-mail: rb.si@cbs.dk

Course Coordinator
Hans Christian Kongsted, Professor, Department of Strategy and Innovation, Copenhagen Business School

Prerequisites
The course requires that students have basic qualifications in statistics. It is assumed that students know how to calculate e.g. mean values, standard deviations and correlations, and how to interpret these and how to perform basic statistical tests, e.g. comparing means. Knowledge of any particular programming language or estimation procedures is not required even if Stata is used in the course. Some programming experience is, however, an advantage. Students are expected to follow the entire program and to attend the final written exam. Students attending the course will need access to Stata. STATA is available for use during the course.

Aim
The overall aim of the course is to provide econometric analytical tools to PhD students with limited prior econometric experience. Students will be able to identify the appropriate econometric technique given their research question and the available data. Students will be able to distinguish between different econometric models and understand the limitations and pitfalls of each taught tool.

Course content
The student will be equipped with tools ranging from Ordinary Least Square to Limited Dependent Variables Models and Count Models useful for cross section settings. In this context, students will learn how to handle selection bias and endogeneity problems. Furthermore, the student will be exposed to panel data estimation.

Teaching style
Lectures, workshops, home exercises, student presentations of home exercises.

Lecture plan

Morning sessions 9.00-12.00
Afternoon sessions 13.00-16.00


02/10-2020
Morning: Introduction to econometrics, Ordinary Least Squares, and Stata essentials (HCK)
Afternoon: Workshop – Stata essentials(RB)

07/10-2020
Morning: OLS, Dummy Variables and Moderation Effects (HCK)
Afternoon: Workshop – Application and interpretation of OLS (RB)

9/10-2020
Morning: Logit and Probit Models (HCK)
Afternoon: Workshop –Interactions; Logit/probit models (RB)

Note: Fall break


21/10-2020
Morning: Limited-dependent Variable Models (HCK)
Afternoon: Workshop - Limited-dependent Variable models (RB)

28/10-2020
Morning: Matching Methods (VR)
Afternoon: Workshop - Matching (RB)

Note: Break

11/11-2020
Morning: Attrition and Selection Models (VR)
Afternoon: Workshop - Selection and Attrition (RB)

18/11-2020
Morning: Instrumental Variables (VR)
Afternoon: Workshop - Instrumental Variables (RB)

25/11-2020
Morning: Panel Data Models (VR)
Afternoon: Workshop - Panel Data (RB)

2/12-2020 
Exam, room: 4 hours (to be determined)

Learning objectives
Subsequent attending this course, the student should feel substantially better equipped to tackle econometric challenges, conduct rigorous econometric studies and to discuss and comment on econometric work of others.

Exam
Students are expected to participate in all lectures and written exam

Other

Start date
02/10/2020

End date
02/12/2020

Level
PhD

ECTS
6

Language
English

Course Literature

(TITLES ARE SUBJECT TO CHANGE)


• Ai C., & Norton E.C., (2003). Interaction terms in logit and probit models. Economics Letters, 80 123-129. • Cameron, A. and Trivedi, P., 2005: Microeconometrics: Methods and Applications, Cambridge University Press.


• Certo, S., Busenbark, J., Woo, H., Semadeni, M, 2015. Sample selection bias and Heckman models in strategic management research, Strategic Management Journal 37 (13) 2639-2657.


• Hoetker G., (2007), The use of logit and probit models in strategic management research: critical issues. Strategic Management Journal, 28 331-343.


• Norton E.C., H. Wang, & Ai C., (2004). Computing interaction effects and standard errors in logit and probit models. The Stata Journal, 4(2) 154-167.


• Wooldridge, J. M. (2015), Introductory Econometrics - A Modern Approach, International Student Edition, 6th Edition, South Western


• Wooldridge, J. M. (2002), Econometric Analysis of Cross Section and Panel Data, The MIT Press, Cambridge MA

Fee
DKK 7,800,-

Minimum number of participants
8

Maximum number of participants
15

Location
Copenhagen Business School
2000 Frederiksberg

The course will be offered online

Contact information
CBS PhD Support
Nina Iversen
ni.research@cbs.dk
Tel +45 3815 2475

Registration deadline
22/08/2020

Please notice that registration is binding after the registration deadline.

Note: The course is planned with physical class room lectures. It can also be followed remotely at the participant’s choice. In case of a renewed Covid-19 lockdown of CBS facilities, the course will be conducted fully on a virtual platform.
Top