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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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https://ageconsearch.umn.edu/record/242440/files/cdp1054.pdf (application/pdf)

Related works:
Working Paper: External Validity in a Stochastic World (2016) Downloads
Working Paper: External Validity in a Stochastic World (2016) Downloads
Working Paper: External Validity in a Stochastic World (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ags:yaleeg:242440

DOI: 10.22004/ag.econ.242440

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