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“It doesn’t make any difference how beautiful your guess is, it doesn’t matter how smart you are, who made the guess, or what his name is… If it disagrees with experiment, it’s wrong.” (Richard Feynman, 1965 Nobel Prize in Physics)
Lectures. Tuesdays, 5:05-7:25pm. Bunche Hall 9383.
Course outline. This class will attempt to develop an evidence-based view of macroeconomics and finance, including both empirics and theory:
In terms of empirics, I will particularly emphasize identification strategies, both aggregate and cross-sectional approaches, reduced-form and structural methods. Substantively, I will try to summarize the literature on what we really “know” about the main “big” questions of macro-finance: consumption and saving, investment, the trade balance, asset pricing, monetary policy, multipliers, business cycles, financial crises.
In terms of theory, I will be concerned with developing theories which are in line with available empirical evidence. This will lead us to think again about investment, consumption, asset pricing, international macroeconomics and finance, where existing theories are often confronted with “puzzles”. This will lead me to go through more advanced topics, such as Keynesian economics without sticky prices (savings gluts and secular stagnation), housing and macroeconomics, asset pricing with heterogeneous beliefs, and financial frictions.
Office hours. Email me for an appointment.
Website. https://moodle2.sscnet.ucla.edu/course/view/18F-ECON221A-1.
Grading. First, I will ask you to replicate two empirical macro or/and finance papers, using publicly available data (e.g. national accounts, Compustat, CRSP, Nielsen Scanner data, other WRDS material, etc.), but for which the replication code was not made available online by the authors (or not fully). I shall give you a list of papers among which to choose. I believe that the best way to learn empirical methods in macroeconomics and finance is to “get your hands dirty”, and practice working with data. The first replication exercise will count towards 30% of your final grade, and the second will count towards 40%. Second, I will ask you to present a recent paper in empirical macroeconomics during the last two lectures. (30 minutes each) Again, I will give you a list from which to choose. This will count towards 30% of your final grade. Finally, attendance is mandatory for all lectures, and participation will count for 10% of your final grade.
Miscelleneous advice. Here I provide an introduction to R-statistics. Here I provide miscelleneous hopefully useful resources on researching, presenting, writing, coding, etc.
Textbooks. No macroeconomic textbook specifically focuses on evidence-based macroeconomics & finance, so we shall mostly be working from papers. I will also be writing my own notes as much as possible. Basic knowledge of 1st year macroeconomics and finance, which is not required to follow this class, can be found in the following very good entries. However, these textbooks are mostly about theory:
Romer, David. Advanced Macroeconomics. McGraw-Hill Education, 2011. [html]
Galí, Jordi. Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework and Its Applications, Second Edition. Princeton University Press, 2015. [html]
Finance has a better textbook treatment. There exists two excellent textbooks offering complementary perspectives. John Cochrane’s textbook is structured around the stochastic discount factor view of finance; while John Campbell’s textbook is more agnostic.
Cochrane, John H. Asset Pricing (Revised Edition). Princeton University Press, 2009. [html🔒]
Campbell, John Y. Financial Decisions and Markets: A Course in Asset Pricing. Princeton University Press, 2017. [html🔒]
John Cochrane has a course on Asset Pricing on Youtube, which I very strongly recommend:
Cochrane, John H. Asset Pricing, Part 1. YouTube Online Courses. [html]
Cochrane, John H. Asset Pricing, Part 2. YouTube Online Courses. [html]
Summer Institute Econometric Lectures. I strongly recommend that you follow the NBER Summer Institute Econometric Lectures. Three of them are related to macroeconomics and finance:
Summer Institute Econometric Lecture, 2008, “What’s New in Econometrics: Time Series”, James H. Stock and Mark W. Watson. [html]
Summer Institute Econometric Lecture, 2010, “Financial Econometrics”, Sydney Ludvigson, Yacine Ait-Sahalia, Michael Brandt, & Andrew Lo. [html]
Summer Institute Econometric Lecture, 2011, “Computational Tools & Macroeconomic Applications”, Lawrence Christiano and Jesus Fernandez-Villaverde. [html]
Bibliography. The following contains a list of readings for each lecture. Those with a sign are papers which will be discussed during class. The first section has some background reading on methodology, empirical macroeconomics and the current state of macroeconomics. (spoiler: it is probably not that good)