A Bayesian Analysis of Total Factor Productivity Persistence
AbstractThis paper studies persistence properties of total factor productivity (TFP) from Bayesian perspective. Emphasizing that classical unit root test for TFP cannot determine the probability whether a stochastic shock to the series is permanent, we design a Bayesian unit root test for TFP. Examination for a set of African economies' TFP data show that the probability of having a unit root is very high for majority of countries. The evidence of high-persistence has implications for perpetual growth and business cycles.
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Bibliographic InfoPaper provided by Association Française de Cliométrie (AFC) in its series Working Papers with number 09-10.
Date of creation: 2009
Date of revision:
Total factor productivity; Persistence; Bayesian unit root; Innovation; Business cycle fluctuations.;
Other versions of this item:
- Tapas Mishra & Claude Diebolt & Mamata Parhi & Asit Ranjan Mohanty, 2010. "A Bayesian Analysis of Total Factor Productivity Persistence," Historical Social Research (Section 'Cliometrics'), Association Française de Cliométrie (AFC), vol. 35(1), pages 363-372.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- O55 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Africa
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