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Economics 191: Topics in Economic Research

Fall 2021

The goal of this class is to write an original research paper. The course consists of lectures, tutorials, discussion, and presentations by researchers from Berkeley and elsewhere. Course grades are based on assignments, a computer‐based replication exercise, and (mostly) on a 20‐25 page research paper. There is no final exam.

The course is designed to be “low‐stress”, but to require continued engagement throughout the semester. Since most of the course grade depends on the original research paper, students have to choose a research question and begin refining that question and developing techniques to answer it relatively early in the term. The process of selecting and refining the research question requires students to start reading the related literature and collecting data early, and to meet with the GSI’s/readers to get approval of the question. Do not take this class if you cannot adhere to the course schedule.

NOTE THAT ALL MEETINGS FOR THIS COURSE WILL BE VIA ZOOM.

The lectures and tutorial sessions will be recorded and available for viewing. However, students must be able to meet in person with a GSI/reader to discuss their research question.

The GSI’s/readers are:

Anand Charoo: [email protected]

Joachin Fuenzalida: [email protected]

Silvia Fregoni: [email protected]

Jiaye (David) Pan: [email protected]

Card’s office hours: Wednesday 3‐4.30 pm. The office hour meeting will be an open zoom session that students can attend. If you need to speak with me confidentially please send an email to arrange a meeting.

Office hours for GSIs/Readers. To be arranged

Meetings with GSIs and Reader are also by appointment. Prior to scheduling a meeting, send an email with a one‐paragraph description of what you wish to discuss. If you have a lengthy question about an assignment or the content of your research paper, make an appointment to attend to office hours in order to discuss it in person.

Organization. A typical three‐hour session will consist of a 60‐90 minute guest lecture followed by a 90 minute tutorial session.

In the guest lecture, the researcher will presents an overview of some strand of research he or she has been working on. We will try to get the slides from the guest lecturers and a couple of related papers ahead of time so students and review the material before the lecture.

In the tutorial sessions, the GSI’s will present a series of lectures on basic methods for applied research. We will post the slides for the tutorials before the class meeting on bCourses. Students should review the slides before the meeting, so that we can devote the tutorial time to interactive discussions.

We will monitor student views of the tutorial material and give credit for “attendance” to those who view it in advance of the corresponding lecture. We will also give credit to students who attend the GSI/reader office hours. Office hours will be arranged in a manner convenient for students in all time zones, so everyone will be able to receive participation points.

Research Paper. Each student will write a research paper (of 20‐25 pages length) addressing an important, well‐formulated research question. The required format is:

12‐point font

1‐inch margins (left and right, top and bottom)

Double spaced

The page limit includes text, tables, figures, and references. You can add an appendix with supplementary material (e.g., Data Appendix or Additional Robustness Checks), but the paper should be self‐contained. Readers should be able to skip the appendices and be fully able to understand the paper.

Data Analysis. Research papers must include a formal data analysis unless you obtain permission in advance from David Card. We will allow students to submit a paper that is 100% theoretical, but the theoretical analysis must be rigorous – i.e., mathematically based. Purely narrative papers will not be approved.

For help with econometrics we recommend: Adrian Colin Cameron and Pravin K. Trivedi, Microeconomics Using Stata, volume 5, College Station TX: Stata Press, 2009. Available on line. Some of the early tutorial sessions will involve Stata exercises. If you are competent using Python or R that is also acceptable.

Stata. The campus has 20 concurrent licenses for Stata, which are free for you to use https://software.berkeley.edu/stata. You can also purchase your own copy at a discounted student price or obtain a one‐week free student trial https://www.stata.com/order/new/edu/gradplans/student‐pricing/.

This same website contains recorded tutorials for using Stata. The campus Data Lab provides live Zoom tutorials for using Stata https://dlab.berkeley.edu/.

Replication Exercise. You will complete an exercise in which you replicate the results from a published journal article using publicly available data. We expect well‐ commented, clear and concise code, as well as clearly labeled and formatted tables in a separate output file in the format of your preference (Word, Excel, or Stata log file). More details on this exercise will be announced later in the course.

Quiz. We encourage everyone to “attend” and pay attention to the faculty guest lectures. As an incentive, there will be an end‐of‐semester quiz, asking you to answer three essay questions on these lectures. The quiz is open book. You will have 24 hours to complete the quiz and upload it to the bCourses site.

Academic Misconduct. According to UC Berkeley’s honor code http://sa.berkeley.edu/conduct/integrity/definition, “As a member of the UC Berkeley community, I act with honesty, integrity, and respect for others.” Written work submitted via bCourses will be checked for originality using Turnitin http://ets.berkeley.edu/academic‐integrity.

Special Accommodation. If you require disability‐related accommodations you must obtain a Letter of Accommodation (LOA) from the Disabled Students' Program (http://dsp.berkeley.edu).

Duplication. The requirement for this course is to write an original research paper. You should not turn in a paper that duplicates or includes only a modest extension of a paper prepared for another concurrent or previous course. Substantial extensions may be acceptable but only with prior approval.

Deadlines. The final paper must be turned in by 5:00 pm (PST) December 17. No exceptions will be allowed. If an emergency arises in the last week you must contact David Card before the deadline.

Grading. The following table shows the points awarded for each assignment. The total number of points available is 100, so each point represents 1 percent of your grade. Many of the assignments involve turning in a report on the different stages of your paper (e.g., the literature review). A really well‐thought out and nicely presented report will get full points.

Course assignments and associated points are as follows:

Due dates for each assignment will be determined later. One point will be deducted for each day an assignment is late. The final paper will not be accepted after the due date.

Regrades. Requests for regrades will be accepted for reasons of possible clerical error only.

LECTURE CALENDAR

Lecture 1 (Aug 30)

David Card. Introduction and Overview: What makes a good research question?

Lecture 2 (Sept 13)

Guest lecturer: James Church, International Documents Librarian

Data sets and other library resources for use in your research paper

Tutorial session: introduction to Stata.

Lecture 3 (Sept 20)

Guest lecturer: Enrico Moretti, UCB. “Where is the Standard of Living Highest: Wages and Cost of Living”

Tutorial session: Introduction to Regression Methods

Lecture 4 (Sept 27)