NBER

Andrew Foerster

Federal Reserve Bank of San Francisco
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San Francisco, CA 94105
Tel: 4159742360

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Institutional Affiliation: Federal Reserve Bank of San Francisco

NBER Working Papers and Publications

April 2020Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach
with Gianluca Benigno, Christopher Otrok, Alessandro Rebucci: w26935
We estimate a workhorse DSGE model with an occasionally binding borrowing constraint. First, we propose a new specification of the occasionally binding constraint, where the transition between the unconstrained and constrained states is a stochastic function of the leverage level and the constraint multiplier. This specification maps into an endogenous regime-switching model. Second, we develop a general perturbation method for the solution of such a model. Third, we estimate the model with Bayesian methods to fit Mexico's business cycle and financial crisis history since 1981. The estimated model fits the data well, identifying three crisis episodes of varying duration and intensity: the Debt Crisis in the early-1980s, the Peso Crisis in the mid-1990s, and the Global Financial Crisis in t...
May 2019Aggregate Implications of Changing Sectoral Trends
with Andreas Hornstein, Pierre-Daniel Sarte, Mark W. Watson: w25867
We find disparate trend variation in TFP and labor growth across major U.S. production sectors over the post-WWII period. When aggregated, these sector-specific trends imply secular declines in the growth rate of aggregate labor and TFP. We embed this sectoral trend variation into a dynamic multi-sector framework in which materials and capital used in each sector are produced by other sectors. The presence of capital induces important network effects from production linkages that amplify the consequences of changing sectoral trends on GDP growth. Thus, in some sectors, changes in TFP and labor growth lead to changes in GDP growth that may be as large as three times these sectors' share in the economy. We find that trend GDP growth has declined by more than 2 percentage points since 1950, a...
August 2014Perturbation Methods for Markov-Switching DSGE Models
with Juan Rubio-Ramírez, Daniel F. Waggoner, Tao Zha: w20390
Markov-switching DSGE (MSDSGE) modeling has become a growing body of literature on economic and policy issues related to structural shifts. This paper develops a general perturbation methodology for constructing high-order approximations to the solutions of MSDSGE models. Our new method, called "the partition perturbation method,'' partitions the Markov-switching parameter space to keep a maximum number of time-varying parameters from perturbation. For this method to work in practice, we show how to reduce the potentially intractable problem of solving MSDSGE models to the manageable problem of solving a system of quadratic polynomial equations. We propose to use the theory of Gröbner bases for solving such a quadratic system. This approach allows us to first obtain all the solutions and t...

Published: Andrew Foerster & Juan F. Rubio‐Ramírez & Daniel F. Waggoner & Tao Zha, 2016. "Perturbation methods for Markov‐switching dynamic stochastic general equilibrium models," Quantitative Economics, Econometric Society, vol. 7(2), pages 637-669, 07. citation courtesy of

October 2008Sectoral vs. Aggregate Shocks: A Structural Factor Analysis of Industrial Production
with Pierre-Daniel G. Sarte, Mark W. Watson: w14389
This paper uses factor analytic methods to decompose industrial production (IP) into components arising from aggregate shocks and idiosyncratic sector-specific shocks. An approximate factor model finds that nearly all (90%) of the variability of quarterly growth rates in IP are associated with common factors. Because common factors may reflect sectoral shocks that have propagated by way of input-output linkages, we then use a multisector growth model to adjust for the effects of these linkages. In particular, we show that neoclassical multisector models, of the type first introduced by Long and Plosser (1983), produce an approximate factor model as a reduced form. A structural factor analysis then indicates that aggregate shocks continue to be the dominant source of variation in IP, but th...

Published: Sectoral vs. Aggregregate Shocks: A Structural Factor Analysis of Industrial Production (with Andrew Foerster and Pierre-Danieal Sarte) Journal of Political Economy, Vol. 119, No. 1 (February 2011), pp 1-38 citation courtesy of

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