How Large is Average Economic Growth? Evidence from a Robust Method
AbstractThis paper puts forward a method to estimate average economic growth, andits associated confidence bounds, which does not require a formal decision onpotential unit root properties. The method is based on the analysis of eitherdifference-stationary or trend-stationary time series models, implementing the robustbootstrapping procedure advocated in Romano and Wolf (2001). Simulation evidence indicatesthe practical relevance of the method. It is illustrated on quarterly post-war USindustrial production.
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Bibliographic InfoPaper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 02-002/4.
Date of creation: 22 Jan 2002
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Growth; Unit root; Robust testing;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2002-02-10 (All new papers)
- NEP-ECM-2002-02-14 (Econometrics)
- NEP-ETS-2002-02-10 (Econometric Time Series)
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