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On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI

Emir Malikov and Shunan Zhao

The Review of Economics and Statistics, 2023, vol. 105, issue 5, 1207-1223

Abstract: We develop a novel methodology for the proxy variable identification of firm productivity in the presence of productivity-modifying learning and spillovers, which facilitates a unified internally consistent analysis of the spillover effects among firms. Contrary to the popular two-step empirical approach, ours does not postulate contradictory assumptions about firm productivity across the estimation steps. Instead, we explicitly accommodate cross-sectional dependence in productivity induced by spillovers, which facilitates identification of both the productivity and spillover effects simultaneously. We apply our model to study cross-firm spillovers in China's electric machinery manufacturing, with a particular focus on productivity effects of inbound FDI.

Date: 2023
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https://doi.org/10.1162/rest_a_01080
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Working Paper: On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI (2023) Downloads
Working Paper: On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI (2022) Downloads
Working Paper: On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI (2022) Downloads
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The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

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