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Political uncertainty in a data-rich environment

  • Scheffel, Eric Michael

We asses the general robustness of previous findings claiming that policy uncertainty exerts non-trivial influences on the US economy. Measuring the dynamic effects from a shock to policy uncertainty within a FAVAR model permits gauging the response of many more variables to policy uncertainty than is possible in a simple VAR model. Our results summarized by impulse responses are all corrected for small sample bias using a bootstrap-after-bootstrap method. Our findings support the view of policy uncertainty exerting a statistically significant influence on the economy, which is however not always as economically significant for a number of variables as found in previous studies.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 37318.

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Date of creation: 13 Mar 2012
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Handle: RePEc:pra:mprapa:37318
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  1. Francisco J. Buera & Alexander Monge‐Naranjo & Giorgio E. Primiceri, 2011. "Learning the Wealth of Nations," Econometrica, Econometric Society, vol. 79(1), pages 1-45, 01.
  2. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
  3. Runkle, David E, 1987. "Vector Autoregressions and Reality," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 437-42, October.
  4. D'Amuri, Francesco/FD & Marcucci, Juri/JM, 2009. ""Google it!" Forecasting the US unemployment rate with a Google job search index," MPRA Paper 18248, University Library of Munich, Germany.
  5. Nicholas Bloom, 2007. "The Impact of Uncertainty Shocks," NBER Working Papers 13385, National Bureau of Economic Research, Inc.
  6. Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
  7. Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana & Keith Kuester & Juan Rubio-Ramírez, 2011. "Fiscal Volatility Shocks and Economic Activity," NBER Working Papers 17317, National Bureau of Economic Research, Inc.
  8. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
  9. Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
  10. Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc.
  11. Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers.
  12. Askitas, Nikos & Zimmermann, Klaus F., 2009. "Google Econometrics and Unemployment Forecasting," IZA Discussion Papers 4201, Institute for the Study of Labor (IZA).
  13. Ben Bernanke, 1990. "The Federal Funds Rate and the Channels of Monetary Transnission," NBER Working Papers 3487, National Bureau of Economic Research, Inc.
  14. Lutz Kilian, 1998. "Small-Sample Confidence Intervals For Impulse Response Functions," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 218-230, May.
  15. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, MIT Press, vol. 113(3), pages 869-902, August.
  16. Bai, Jushan & Ng, Serena, 2010. "Instrumental Variable Estimation In A Data Rich Environment," Econometric Theory, Cambridge University Press, vol. 26(06), pages 1577-1606, December.
  17. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  18. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2012. "Policy uncertainty: a new indicator," CentrePiece - The Magazine for Economic Performance 362, Centre for Economic Performance, LSE.
  19. Christopher A. Sims, 1992. "Interpreting the Macroeconomic Time Series Facts: The Effects of Monetary Policy," Cowles Foundation Discussion Papers 1011, Cowles Foundation for Research in Economics, Yale University.
  20. David E. Runkle, 1987. "Vector autoregressions and reality," Staff Report 107, Federal Reserve Bank of Minneapolis.
  21. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  22. Gilchrist, Simon & Sim, Jae W. & Zakrajsek, Egon, 2014. "Uncertainty, Financial Frictions, and Investment Dynamics," Finance and Economics Discussion Series 2014-69, Board of Governors of the Federal Reserve System (U.S.).
  23. Runkle, David E, 1987. "Vector Autoregressions and Reality: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 454, October.
  24. repec:oup:qjecon:v:98:y:1983:i:1:p:85-106 is not listed on IDEAS
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