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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Working Paper: On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI (2023) 
Working Paper: On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI (2022) 
Working Paper: On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI (2022) 
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