Output gap measure based on survey data
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References listed on IDEAS
- Clark, Todd E. & McCracken, Michael W., 2006.
"The Predictive Content of the Output Gap for Inflation: Resolving In-Sample and Out-of-Sample Evidence,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1127-1148, August.
- Todd E. Clark & Michael W. McCracken, 2003. "The predictive content of the output gap for inflation : resolving in-sample and out-of-sample evidence," Research Working Paper RWP 03-06, Federal Reserve Bank of Kansas City, revised 2003.
- Michael W. McCracken & Todd E. Clark, 2003. "The Predictive Content of the Output Gap for Inflation: Resolving In-Sample and Out-of-Sample Evidence," Computing in Economics and Finance 2003 183, Society for Computational Economics.
- Katarzyna Budnik & Michal Greszta & Michal Hulej & Marcin Kolasa & Karol Murawski & Michal Rot & Bartosz Rybaczyk & Magdalena Tarnicka, 2009. "The new macroeconometric model of the Polish economy," NBP Working Papers 62, Narodowy Bank Polski, Economic Research Department.
- McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
- 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.
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- Mohamed A. M. Sallam & Mohamed R. Neffati, 2019. "Estimation and Analysis of the Output Gap for the Saudi Economy; Econometric Study (1970-2016)," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(2), pages 267-284, February.
More about this item
KeywordsPrincipal component; Output gap; Trend-cycle decomposition; Inflation forecast; Real-time analysis.;
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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