The Impact of MGNREGA on Agricultural Outcomes and the Rural Labour Market: A Matched DID Approach

Deepak Varshney (), Deepti Goel () and J.V. Meenakshi

Working Papers from eSocialSciences

Abstract: This paper attempts to address the impact of the MGNREGA on the rural agricultural sector, focusing on cropping patterns, irrigated area, crop yields, wages and rural employment. The analysis is based on two data sources: the first is a unique district-season level panel dataset that we construct using multiple sources; and the second is unit-record data from the NSS Employment Unemployment Surveys. To identify causal effects, we employ a difference-indifference matching (DIDM) procedure, where districts are matched based on propensity scores; the use of propensity scores represents a novel aspect of this paper.

Keywords: eSS; MGNREGA; Public Works; Agriculture; difference-indifference matching (DIDM) procedure; NSS Employment Unemployment Surveys; propensity scores; rural agricultural sector; cropping patterns; irrigated area; crop yields; wages; rural employment; India. (search for similar items in EconPapers)
Date: 2017-11
Note: Institutional Papers
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Citations: View citations in EconPapers (2)

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Related works:
Journal Article: The Impact of MGNREGA on Agricultural Outcomes and the Rural Labour Market: A Matched DID Approach (2018)
Working Paper: The Impact of MGNREGA on Agricultural Outcomes and the Rural Labour Market- A Matched DID Approach (2017)
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