Preparing for an Aging World The Case for Cross-National Research (2001) / Chapter Skim
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Appendix A: Learning From Cross-National Research
Appendix A: Learning From Cross-National Research
Pages 283-288
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From page 283... ...
varies across countries and time periods, there is little to be gained from cross-country, longitudinal, cross-cohort, or repeated cross-section analyses. Thus, one of the basic hypotheses underlying a call for cross-national longitudinal data collection or cross-national analysis of repeated crosssections is the assumption that basic behavioral responses are stable across countries and time.
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assumes a common response effect across all individuals, i.e., a "homogeneous effects" model. An intermediate specification might allow the response parameters to vary according to observed covariates (the z variables defined above)
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Within-Country Comparisons Suppose all that is available are national samples. Where treatments are global for a particular subpopulation, such as the introduction of national screening (or a universal pension provision)
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~. Failure to have comparable measures of important variables can severely reduce the possibility of exploiting cross-national variations in policies and other variables to enhance scientific knowledge of behavioral responses.
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An example is the conversion of monetary measures into a common value. Here, observed foreign exchange rates may convert francs into dollars, but this conversion may not conform to a purchasing power parity rate that could be used to equate the true purchasing power of given incomes in France and the United States.
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