Twenty-first Annual Conference on Macroeconomics.
Position | Conferences |
The NBER's twenty-first Annual Conference on Macroeconomics, organized by NBER Research Associates Daron Acemoglu, MIT, Kenneth Rogoff, Harvard University, and Michael Woodford, Columbia University, took place in Cambridge on April 7 and 8. The program was:
Lawrence J. Christiano and Martin Eichenbaum, Northwestern University and NBER, and Robert Vigfusson, Federal Reserve Board, "Assessing Structural VARs"
Discussants: Patrick Kehoe, Federal Reserve Bank of Minneapolis, and Mark W. Watson, Princeton University and NBER
Steven J. Davis, University of Chicago and NBER; John C. Haltiwanger, University of Maryland and NBER; and Ron Jarmin and Javier Miranda, U.S. Census Bureau, "Volatility and Dispersion in Business Growth Rates: Publicly Traded versus Privately Held Firms"
Discussants: Chris Foote, Federal Reserve Bank of Boston, and Eva Nagypal, Northwestern University
Lars Ljungqvist, Stockholm School of Economics, and Thomas J. Sargent, New York University and NBER, "Indivisible Labor, Human Capital, Lotteries and Personal Savings: Do Taxes Explain European Unemployment?"
Discussants: Olivier J. Blanchard, MIT and NBER, and Edward C. Prescott, Arizona State University and NBER
Troy Davig, Federal Reserve Bank of Kansas City, and Eric M. Leeper, Indiana University and NBER, "Fluctuating Macro Policies and the Fiscal Theory" (NBER Working Paper No. 11212)
Discussants: Jordi Gall, MIT and NBER, and Christopher A. Sims, Princeton University and NBER
Mikhail Golosov, MIT and NBER, Aleh Tsyvinski, Harvard University and NBER; and Ivan Werning, MIT and NBER, "New Dynamic Public Finance: a User's Guide"
Discussants: Peter A. Diamond, MIT and NBER, and Kenneth L. Judd, Stanford University and NBER
Monika Piazzesi, University of Chicago and NBER; and Martin Schneider, Federal Reserve Bank of Minneapolis, "Equilibrium Yield Curves"
Discussants: Pierpaolo Benigno, New York University and NBER, and John Y. Campbell, Harvard University and NBER
Christiano, Eichenbaum, and Vigfusson analyze the quality of VAR-based procedures for estimating the response of the economy to a shock. They focus on two key questions. First, do VAR-based confidence intervals accurately reflect the actual degree of sampling uncertainty associated with impulse response functions? Second, what is the size of bias relative to confidence intervals, and how do coverage rates of confidence intervals compare to their nominal size? They address these questions using data generated from...
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