Forecasting Aggregate Productivity Using Information from Firm-Level Data
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- Eric J. Bartelsman & Zoltan Wolf, 2009. "Forecasting Aggregate Productivity using Information from Firm-Level Data," Tinbergen Institute Discussion Papers 09-043/3, Tinbergen Institute.
References listed on IDEAS
- Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," Review of Economic Studies, Oxford University Press, vol. 45(3), pages 511-518.
- Olley, G Steven & Pakes, Ariel, 1996.
"The Dynamics of Productivity in the Telecommunications Equipment Industry,"
Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
- George S Olley & Ariel Pakes, 1992. "The Dynamics Of Productivity In The Telecommunications Equipment Industry," Working Papers 92-2, Center for Economic Studies, U.S. Census Bureau.
- G. Steven Olley & Ariel Pakes, 1992. "The Dynamics of Productivity in the Telecommunications Equipment Industry," NBER Working Papers 3977, National Bureau of Economic Research, Inc.
- Jaimovich, Nir & Floetotto, Max, 2008.
"Firm dynamics, markup variations, and the business cycle,"
Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1238-1252, October.
- Nir Jaimovich, 2004. "Firm Dynamics, Markup Variations, and the Business Cycle," Discussion Papers 07-013, Stanford Institute for Economic Policy Research, revised Mar 2007.
- James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
- Ravazzolo, F. & van Dijk, H.K. & Verbeek, M.J.C.M., 2007. "Predictive gains from forecast combinations using time-varying model weights," Econometric Institute Research Papers EI 2007-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
- Gábor Kátay & Zoltán Wolf, 2008. "Driving Factors of Growth in Hungary - a Decomposition Exercise," MNB Working Papers 2008/6, Magyar Nemzeti Bank (Central Bank of Hungary).
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- Rockey, James & Temple, Jonathan, 2016.
"Growth econometrics for agnostics and true believers,"
European Economic Review, Elsevier, vol. 81(C), pages 86-102.
- Rockey, James & Temple, Jonathan, 2015. "Growth Econometrics for Agnostics and True Believers," CEPR Discussion Papers 10590, C.E.P.R. Discussion Papers.
- James Rockey & Jonathan Temple, 2015. "Growth Econometrics for Agnostics and True Believers," Bristol Economics Discussion Papers 15/656, School of Economics, University of Bristol, UK.
- Christina Poetzsch, 2017. "Technology transfer on a two-way street: R&D spillovers through intermediate input usage and supply," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(4), pages 735-751, November.
- Ayyagari, Meghana & Demirguc-Kunt, Asli & Maksimovic, Vojislav, 2011. "Do Phoenix miracles exist ? firm-level evidence from financial crises," Policy Research Working Paper Series 5799, The World Bank.
- Jensen Christian, 2016. "On the macroeconomic effects of heterogeneous productivity shocks," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(1), pages 1-23, January.
- Zhong, Sheng, 2016. "The dynamics of vehicle energy efficiency: Evidence from the Massachusetts Vehicle Census," MERIT Working Papers 2016-014, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Pantea, Smaranda & Sabadash, Anna & Biagi, Federico, 2017. "Are ICT displacing workers in the short run? Evidence from seven European countries," Information Economics and Policy, Elsevier, vol. 39(C), pages 36-44.
- Fornaro, Paolo & Luomaranta, Henri, 2017. "Small and Medium Firms, Aggregate Productivity and the Role of Dependencies," ETLA Working Papers 47, The Research Institute of the Finnish Economy.
- Gorji, Narges Mirzaie & Fami, Hossein Shabanali & Iravani, Hooshang, 2017. "Investigating Factors that Affecting Citrus Waste Production in Mazandaran Province, Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 7(1), March.
More about this item
Keywordsforecasting; aggregate; productivity; firm-level; Bayesian;
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
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