Apply the propensity score matching method with nearest neighbour and kernel matching to control for observable plot characteristics. Check…

Apply the propensity score matching method with nearest neighbour and kernel matching to control for observable plot characteristics. Check…

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Apply the propensity score matching method with nearest neighbour and kernel matching to control for observable plot characteristics. Check that the common support and balancing requirements are satisfied. What can you conclude about the gender productivity differential overall, and for owner-operated and rented-out plots separately? In the case of kernel matching invoke the bootstrapped standard errors with minimum 300 replications to assess the robustness of your findings.

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Solution Propensity Score Matching with Nearest Neighbor and Kernel Matching Data We have a dataset of farmers with information on their gender plot characteristics and productivity We want to use pro
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