Does crop insurance attenuate farm financial risk?

Author:

Regmi MadhavORCID,Featherstone Allen M.,Tack Jesse

Abstract

PurposeFederally subsidized crop insurance aims to mitigate farm risks of crop producers. A body of literature has examined informational problems under this program. However, few studies empirically link crop insurance participation with farm financial performance. Most use county-level aggregates to argue that crop insurance participation is associated with increased farm financial debt. Using farm-level data, this study provides empirical evidence of crop insurance's effects on farm financial risk.Design/methodology/approachThe impact of crop insurance on farm financial risks is assessed using farm-level data from Kansas. The sample consists of at least 1,600 farms each year from 2002 to 2015. Financial risks are measured using the probability of falling into the critical zone of five different financial ratios. The study uses two matching estimators to estimate the causal effects of crop insurance participation on farm financial risks. Several alternative empirical approaches account for unobserved heterogeneity and potential endogeneity.FindingsCrop insurance participation has reduced the farm's likelihood of being in the critical liquidity risk by 8%. This result is robust across matching estimators and alternative specifications to account for unobserved heterogeneity and potential endogeneity.Originality/valueThis is one of the few studies to examine whether crop insurance reduces farm financial risks. This study provides empirical evidence of the extent to which crop insurance enrollment impacts farm financial risks. Findings suggest that crop insurance is critical to maintaining the financial well-being of crop producers, and significantly reduces the likelihood of producers being in a critical liquidity risk.

Publisher

Emerald

Subject

Agricultural and Biological Sciences (miscellaneous),Economics, Econometrics and Finance (miscellaneous)

Reference31 articles.

1. Federal crop insurance and the disincentive to adapt to extreme heat;The American Economic Review,2015

2. Impacts of federal crop insurance on land use and environmental quality;American Journal of Agricultural Economics,2016

3. Precision agriculture technology adoption and technical efficiency;Journal of Agricultural Economics,2022

4. Genetic matching for estimating causal effects: a general multivariate matching method for achieving balance in observational studies;Review of Economics and Statistics,2013

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