Shi, Xiangyu (2024): Networked instrumental variable estimation: The case of Hausman-style instruments.
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Abstract
In this paper, I argue that in situations of complex network dependence, the traditional and widely used Hausman-style instrumental variable estimation may not be valid for causal identification. This is the case for inter-regional migration networks when evaluating place-based labor market policies, and for correlated unobserved consumer tastes in the product and geographic space in demand estimation. I build an economic model for these two cases, respectively, to derive the estimating equation and to shed light on the fallacy---omitted variable bias and the resulting violation of exclusion restriction---of the traditional econometric framework. I then build an alternative econometric framework and propose a new approach to estimation that exploits higher-order network neighbors and, then, I establish its desirable properties. I conduct Monte Carlo simulations and two empirical analyses that each correspond to the two economic models to validate this new approach of estimation.
Item Type: | MPRA Paper |
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Original Title: | Networked instrumental variable estimation: The case of Hausman-style instruments |
English Title: | Networked instrumental variable estimation: The case of Hausman-style instruments |
Language: | English |
Keywords: | treatment effect; network; instrumental variable; Hausman IV; spatial linkages; migration network; demand estimation |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables |
Item ID: | 121349 |
Depositing User: | Dr Xiangyu Shi |
Date Deposited: | 06 Jul 2024 13:19 |
Last Modified: | 06 Jul 2024 13:19 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/121349 |