A large literature has emerged dealing with the economic and non-economic determinants of migration. Among the economic determinants of migration are income levels and rates of change in income in different areas. These variables are designed to measure labor market opportunities both currently and in the future. Invariably, studies which attempt to explain migration utilize nominal measures of income and change in income, not real measures. Yet assuming that individuals are not subject to money illusion, they would be interested in cost of living information as well as in information regarding nominal income and change in income. This paper examines this issue empirically.We demonstrate that some cost of living variables, when included in a migration equation, enter with the expected sign and are statistically significant. We also demonstrate the failure to include such variables in a regression results in misspecification and bias involving some of the variables in the regression.

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One objective of regulatory investigations of possible improprieties by publicly traded corporations and the imposition of sanctions if malfeasance is found is to deter other corporations from engaging in such behavior. Although the magnitude of the deterrent effect is an empirical issue, this paper provides an a priori analysis as to why the deterrent effect will be blunted in many cases, why its strength will not be uniform over time, and why, based in part on prospect theory, the deterrent effect will be weaker for ongoing questionable practices than for practices in their formative stages.

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