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Semiparametric Estimates of Monetary Policy Effects: String Theory Revisited
Authors:Joshua D Angrist  Òscar Jordà  Guido M Kuersteiner
Institution:1. MIT, Department of Economics, 50 Memorial Drive Building E52, Room 436 Cambridge, MA 02142;2. and NBER, Department of Economics, E52-436 MIT 77 Massachusetts Avenue, Cambridge, MA 02139.(Email: angrist@mit.edu);3. Federal Reserve Bank of San Francisco, San Francisco;4. and U. C. Davis (oscar.jorda@sf.frb.org;5. ojorda@ucdavis.edu);6. Department of Economics, University of Maryland, College Park, MD 20742(kuersteiner@econ.umd.edu)
Abstract:We develop flexible semiparametric time series methods for the estimation of the causal effect of monetary policy on macroeconomic aggregates. Our estimator captures the average causal response to discrete policy interventions in a macrodynamic setting, without the need for assumptions about the process generating macroeconomic outcomes. The proposed estimation strategy, based on propensity score weighting, easily accommodates asymmetric and nonlinear responses. Using this estimator, we show that monetary tightening has clear effects on the yield curve and on economic activity. Monetary accommodation, however, appears to generate less pronounced responses from both. Estimates for recent financial crisis years display a similarly dampened response to monetary accommodation.
Keywords:Local projections  Nonlinear impulse response functions  Propensity score  Semiparametric models  Vector autoregression
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