Prerequisites: at least one semester of econometrics, preferably two,
and intermediate macroeconomics.
This course has an applied econometrics focus.
The focus is on forecasting macroeconomic and financial variables
The requirements are three empirical papers. The first, worth 20 percent
of the grade, is an extension of an existing article,
where some of the results are duplicated and then extended. An example
is provided if a student wants to use it. The second, worth 30 percent
of the grade, is more of the same but with no example provided. The third,
worth 50 percent of the grade, is a more original paper within the
range of topics covered in the course, where data are collected
and analyzed using whatever econometric techniques are relevant.
This paper can possibly be the beginning of a senior essay.
Macroeconomic forecasting concerns forecasting variables like GDP,
components of GDP like consumption, investment, and imports, inflation,
the unemployment rate, interest rates, the government deficit, and
exchange rates. There are various forecasting methods, some purely
statistical time series techniques and some using economic theory. We
will consider both. Financial forecasting is more problematic, since
changes in asset prices may be roughly unpredictable. We will examine
topics like momentum forecasting to see if some asset prices are
Class attendance is required, and there will be considerable class
participation. Students will be required to present some of the
readings in class.
Smartphones, tablets, and laptops may not be used in class.
Many students use R, but any software is fine. A package focused on
time series econometrics would be ideal, but not necessary. One
possibility is the Fair-Parke program:
Class time will not be
taken going over software.
The aim of the course is to get students doing original empirical
research using econometric tools. It is also to prepare students to
read empirical papers in economics and finance.
The main reference for much of the macroeconomics part of the course is
Modeling: 2018, denoted MM below.
Most of the readings will be journal articles.
The following are some of the readings. More readings will be added later.
January 13, 15, 17, 22: Econometric Methodology and Tools
# Your econometrics text---use this for review throughout the course.
# Case, Fair, and Oster, Chapter 21, "Critical
Thinking About Research."
# Fair, Ray C., Predicting Presidential
Elections and Other Things, Second Edition,
Chapters 1 and 2.
# MM, Sections 2.1 and 2.3.
January 27, 29, February 3, 5: Autoregressive (AR) and
Vector Autoregressive (VAR)
Forecasting; Quasi Ex Ante Forecasting
# Your econometrics text on time series modeling.
# Fair, Ray C., and Robert J. Shiller,
"Comparing Information in Forecasts from Econometric Models,"
The American Economic Review, June 1990, 375-389.
# Fair, Ray C., and Robert J. Shiller,
"The Informational Content of Ex Ante Forecasts,"
The Review of Economics and Statistics, May 1989, 325-331.
# Fair, Ray C.,
"Information Content of DSGE Forecasts,"
Journal of Forecasting, 2019.
# Begin the first paper. Get whatever software you are going to use
in control. A topic will be given if you want to use it for the first paper.
If you want to use the FP program, there will be a review session on it.
First paper due Monday, February 10, before class
February 10, 12, 17, 19, 24, 26, March 2, 5:
Structural Macro Modeling; Macro Financial
# S&P 500 data, S&P 500 data
# S&P 500 regression, S&P 500 regression
# Lecture 9, Lecture 9
# Lecture 14, Lecture 14
# MM, Sections 1.1, 1.2,
# US Model, US Model
# Wealth effects: MM, Sections 4.2, 5.7. (Optional)
# Case, Karl E., John M. Quigley, and Robert J. Shiller,
"Wealth Effects Revisited: 1975-2012", NBER Working Paper No. 18667,
# Zhou, Xia, and Christopher D. Carroll,
"Dynamics of Wealth and Consumption: New and Improved Measures for U.S.
States", The B.E. Journal of Macroeconomics, 2012.
# Mian, Atif, Kamalesh Rao, and Amir Sufi,
"Household Balance Sheets, Consumption, and the Economic Slump",
The Quarterly Journal of Economics, 2013.
# Mian, Atif, and Amir Sufi,
"What Explains the 2007-2009 Drop in Employment?
# Begin second paper by February 20.
Second paper due Wednesday, March 25, at midnight EDT. (This is after the
March 23: Brief Reports by Students on the Second Paper
# This class will allow us to get the bugs out of zoom, if any, and hear from
you on how your second paper went and for you to get any last minute
suggestions. The paper is due 1PM, EDT, on March 25. Read the nowcasting
material for March 25; students will be called on to present the material.
March 25: Nowcasting
# Nowcasting, real time, Nowcasting real time
# Nowcasting paper, Nowcasting paper
# Koopmans, Tjalling C., Measurement Without Theory,
The Review of Economics and Statistics, 1947.
March 30, April 1: Shiller and the Stock Market
# Shiller, Robert J.,
Now the world faces two pandemics--one medical, one financial, April 1,
# Shiller, Robert J.,
Predictions for the Coronavirus Stock Market, April 2, 2020.
# Shiller, Robert J., Narrative Economics,
American Economic Review, 2017.
# Shiller, Robert J., Bubbles, Human Judgment, and
Financial Analysts Journal, 2002.
# Alfaro, Laura, Anusha Chari, Andrew Greenland, and Peter K. Schott,
Aggregate and Firm-Level Stock Returns During
a Pandemic, in Real Time, March 30, 2020.
# Begin third paper. It can be an extension of the second paper,
depending on how original the second paper was.
April 6, 8: Momentum Forecasting
# Moskowitz, Tobias J., Yao Hua Ooi, and Lasse Heje Pedersen,
Time Series Momentum,
Journal of Financial Economics, 2011.
# Hurst, Brian, Yao Hua Ooi, and Lasse Heje Pedersen,
A Century of Evidence on Trend-Following Investing, The Journal
of Portfolio Management, Fall 2017.
Outline of third paper due Wednesday, April 8, at 1PM, EDT
April 13: Comments on the third paper outline and if time
True Ex Ante Forecasts
# Fair, Ray C., Ex ante forecasts from the US model
and its forecasting record.
April 15, 20, 22: Student presentations of the third paper
Third paper due the last day of final exams, Wednesday, May 6, at 5PM,
Data, News Items, Miscellaneous
# Fed balance sheet, Balance sheet
# NBER cycles, Cycles
# Stimulus bill, Bill
# Employment estimates, estimates
# Macro data, data
# Data descriptions, Table A.2, pdf file
# Fed equation, Fed equation
# FP program, FP program
# Example of data mining, Gary Smith, Data Mining