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A Bayesian analysis of total factor productivity persistence
Eine Bayesianische Analyse der Persistenz der Totalen Faktorproduktivität
[journal article]
Mishra, Tapas; Diebolt, Claude; Parhi, Mamata; Mohanty, Asit Ranjan
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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-285467
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| Abstract | 'This 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.' (author's abstract) |
| Keywords | Africa; productivity; Bayesian statistics; growth; innovation; production factor; economic growth; persistence |
| Classification | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods; National Economy |
| Method | empirical; quantitative empirical |
| Document language | English |
| Publication Year | 2010 |
| Page/Pages | p. 363-372 |
| Journal | Historical Social Research, 35 (2010) 1 |
| Status | Published Version; reviewed |
| Licence | Deposit Licence - No Redistribution, No Modifications |
| Document Type | journal article |
