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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
ISSN 0172-6404
Status Published Version; peer reviewed
Licence Creative Commons - Attribution-Noncommercial-No Derivative Works