ESTIMATES OF TECHNOLOGY AND CONVERGENCE: SIMULATION RESULTS

Graeme Wells and Thanasis Stengos

CAMA Working Papers from Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University

Abstract: Using a Solow-Swan model with a stochastic saving rate and stochastic productivity we analyse the distributions of parameter estimates that emerge under various choices of technology, and of the dimension of the panel on which cross-section regressions are based. There are distinct asymmetries that characterize these distributions. These asymmetries become more pronounced when the effects of a near-unit root in the productivity shock become magnified over a longer time horizon and when the underlying production function is not Cobb-Douglas. Consequently, relying on traditional econometric transformations of these parameter estimates based on symmetric distributions, such as t-ratios, will be quite misleading if one tries to assess technology parameters and B-convergence.

Pages: 18 pages
Date: 2006-01
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Related works:
Journal Article: Estimates of Technology and Convergence: Simulation Results (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:een:camaaa:2006-07

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