Random coefficients models of arms imports.
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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 suggest 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 try to avoid 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.
|Research Areas:||A. > School of Science and Technology > Design Engineering and Mathematics|
|Citations on ISI Web of Science:||0|
|Deposited On:||29 Mar 2010 10:19|
|Last Modified:||02 May 2015 20:53|
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