Li, Guangjie ![]() |
Abstract
We have developed a stochastic frontier model with appropriate priors to estimate the locations and number of structural breaks for both production efficiency and technology, which experience different regime changes. We assume different units could have unknown common break dates. Although panel data with large cross-sectional size can help identify the break locations, it could render posterior simulation very inefficient. Hence, care must be taken to avoid such problems. We apply our method to study the world production over the period of 1960–2007 and find that the data support structural breaks in technology rather than in efficiency. For most countries under study, the most important source of growth is capital accumulation. The technology adopted by different countries shows signs of convergence. Changes of technology usually happen after economic crises to compensate for negative capital growth. Alternative modelling approach and priors are used for robustness check.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Business (Including Economics) |
Subjects: | H Social Sciences > HB Economic Theory |
Publisher: | Springer |
ISSN: | 0377-7332 |
Last Modified: | 27 Oct 2022 09:25 |
URI: | https://orca.cardiff.ac.uk/id/eprint/65671 |
Citation Data
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