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Applied Environmental Econometrics in R

6

English

#70383 / #1

Seit SoSe 2020

Fakultät VII

H 57

Institut für Volkswirtschaftslehre und Wirtschaftsrecht

37312100 FG Ökonometrie und Wirtschaftsstatistik

Cullmann, Astrid

Sundermann, Greta

a.cullmann@tu-berlin.de

POS-Nummer PORD-Nummer Modultitel
2349427 41972 Applied Environmental Econometrics in R

Learning Outcomes

This course aims at equipping students with econometric and empirical tools that are applied in the field of environmental economics. This includes familiarizing students with common problems faced in this type of empirical research and providing an overview on the different econometric methods. Applications will focus on air and water pollution as well as energy-related issues. Student participation is key to the course. The students will study economic research published in peer-reviewed journals formulate specific research questions, identify and estimate the effects of interest and interpret estimation outputs. An essential part of the course is the application to actual data in programming sessions with the Software R. Completing the course will contribute to providing the basis so that students can conduct independent empirical research.

Content

The main objective of this course is to provide an overview of econometric and empirical tools in environmental economics (such as Differences-in-Differences, Instrumental Variables, Regression Discontinuity) and to teach you how to apply these methods to real-world data. The course will combine lectures and tutorials (exercises) and focuses hereby on four different aspects. 1) The first part of the course explains and discusses the econometric concepts and methods for research in environmental economics (lectures). 2) In the second part, the course will cover applications of recent papers in the field of environmental economics to illustrate how these methods can be successfully applied. By going through the applied literature, students are expected to critically read and discuss articles and be able to summarize findings, as well as the pros and cons of different econometric models. Each student will be assigned a recent paper to be presented during class in a short presentation (~15 minutes), summarizing the research design and the scientific results. Students are expected to critically discuss the papers’ research strategies and important policy implications. 3) The third part of the course focuses on hands-on applications in the tutorials. The emphasis will be primarily on the practical implementation of the methods to datasets in environmental economics using the software R. Data will be provided. The students will learn how to design their estimation strategies and to appropriately interpret regression results of various estimators. Working in groups, students will have to write a code to replicate an empirical method taught during the class. Students will present their codes in a short presentation (~15 minutes). During the course, further potential research questions are discussed. The students will have to work on a specific research question and submit a seminar paper (10 - 15 pages).

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Applied Environmental Econometrics in R IV 3831 L 10570 SS English 4

Workload and Credit Points

Applied Environmental Econometrics in R (IV):

Workload description Multiplier Hours Total
Attendance 15.0 4.0h 60.0h
Pre/post processing 15.0 8.0h 120.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Block scheduling with lectures and programming tutorials with R

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Basic knowledge in microeconomics and microeconometrics, basic knowledge in R programming is useful (at the beginning of the course a refresher is given).

Mandatory requirements for the module test application:

No information

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 points in total

Language

English

Test elements

Name Points Categorie Duration/Extent
Presentation 40 oral 30 min.
seminar paper 60 written 15 pages

Grading scale

1.01.31.72.02.32.73.03.33.74.0
90.085.080.076.072.067.063.059.054.050.0

Test description (Module completion)

The portfolio examination consists of the following elements, adding up to a maximum of 100 credits. The grading follows the joint conversion key of the School of Economics and Management (decision of the school's council dated May 28, 2014 - FKR VII-4/8- 28.05.2014).

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Please register via e-mail to gs@wip.tu-berlin.de.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  unavailable

Literature

Recommended literature
Angrist, J. D., and Pischke, J.-S. (2009): Mostly Harmless Econometrics, Princeton University Press, Read Chapters 1, 2 as preparation.
Cameron, A.C. and Trivedi, P.K. (2005). Microeconometrics: Methods and Applications. Cambridge University Press, Cambridge, Chapters 14 and 15.
Christensen, Peter and Christopher Timmins (2018) “Sorting or Steering: Experimental Evidence on the Economic Effects of Housing Discrimination”. NBER Working Paper 24826
Deschenes, Olivier, Michael Greenstone, and Joseph Shapiro (2017). “Defensive Investments and the Demand for Air Quality: Evidence from the NOx Budget Program” American Economic Review, 2017, 107(10): 2958-89.

Assigned Degree Programs

This module is used in the following Degree Programs (new System):

Verwendungen (2)
Studiengänge: 2 Stupos: 2 Erstes Semester: SoSe 2020 Letztes Semester: offen

This moduleversion is used in the following modulelists:

Miscellaneous

No information