Random coefficients models of arms imports
Abstract
This paper uses a large panel of data with up to 19 time-series observations for almost 150 countries to estimate models of arms imports. Qualitative evidence suggests a non-linear relationship. As income and military expenditure grow, the propensity to import first rises and then falls as a domestic arms industry develops. We face the difficulty that there is virtually no data on domestic arms procurement or production capability. We respond to this difficulty by adopting a random coefficient approach in order to identify any systematic influences on import propensity, through the impact of military expenditure, size of the armed forces or income on unobserved domestic production capability. While a clear non-linear pattern is apparent in the cross-section relationship, once one allows for parameter heterogeneity such a pattern is not apparent in the time-series.Download Info
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Bibliographic Info
Article provided by Elsevier in its journal Economic Modelling.
Volume (Year): 27 (2010)
Issue (Month): 6 (November)
Pages: 1522-1528
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Web page: http://www.elsevier.com/locate/inca/30411
Related research
Keywords: Sample selection Arms imports Random parameters;References
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Marrouch, Walid & Turk-Ariss, Rima, 2012. "Bank pricing under oligopsony-oligopoly: Evidence from 103 developing countries," BOFIT Discussion Papers 1/2012, Bank of Finland, Institute for Economies in Transition.
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