External Validity in a Stochastic World
Mark Rosenzweig and
Christopher Udry
No 242440, Center Discussion Papers from Yale University, Economic Growth Center
Abstract:
We examine the generalizability of internally valid estimates of causal effects in a fixed population over time when that population is subject to aggregate shocks. This temporal external validity is shown to depend upon the distribution of the aggregate shocks and the interaction between these shocks and the casual effects. We show that returns to investment in agriculture, small and medium enterprises and human capital differ significantly from year to year. We also show how returns to investments interact with specific aggregate shocks, and estimate the parameters of the distributions of these shocks. We show how to use these estimates to appropriately widen estimated confidence intervals to account for aggregate shocks.
Keywords: Productivity Analysis; Research Methods/ Statistical Methods; Risk and Uncertainty (search for similar items in EconPapers)
Pages: 45
Date: 2016-07
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Citations: View citations in EconPapers (12)
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https://ageconsearch.umn.edu/record/242440/files/cdp1054.pdf (application/pdf)
Related works:
Working Paper: External Validity in a Stochastic World (2016) 
Working Paper: External Validity in a Stochastic World (2016) 
Working Paper: External Validity in a Stochastic World (2016) 
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Persistent link: https://EconPapers.repec.org/RePEc:ags:yaleeg:242440
DOI: 10.22004/ag.econ.242440
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