What Are We Weighting For?
When estimating population descriptive statistics, weighting is called for if needed to make the analysis sample representative of the target population. With regard to research directed instead at estimating causal effects, we discuss three distinct weighting motives: (1) to achieve precise estimates by correcting for heteroskedasticity; (2) to achieve consistent estimates by correcting for endogenous sampling; and (3) to identify average partial effects in the presence of unmodeled heterogeneity of effects. In each case, we find that the motive sometimes does not apply in situations where practitioners often assume it does.
Year of publication: |
2015
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Authors: | Solon, Gary ; Haider, Steven J. ; Wooldridge, Jeffrey M. |
Published in: |
Journal of Human Resources. - University of Wisconsin Press. - Vol. 50.2015, 2
|
Publisher: |
University of Wisconsin Press |
Saved in:
Online Resource
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