Table 1 Variables used in probit regression Source: Authors’
Related Figures (9)
Table 2. Adoption of crop insurance by farmers Source: Authors’ estimates based on data from ‘Situational assessment survey of farmers’ Note: The table presents insurance coverage considering crop as a unit of analysis and not farm as a whole. Source: As for table 2. Note: Crop loss per hectare is calculated as loss per farmer who has suffered loss Table 3. Crop-wise adoption of crop insurance by farmers (“%) Source: As for table 2 Table 4. Timeliness in settlement of claims (only for voluntary insurers who have reported losses) Table 5. Reasons for not insuring the crop (in %) Source: As for table 2. Table 6. Correlates of crop insurance adoption: probit model Notes: Model 1: No region fixed effects; Model 2: Agro- climatic region fixed effects; Model 3: State fixed effects. Standard errors are in parentheses and are clustered at the region, and *, **, *** represents significance at 10, 5 and 1% level, respectively Table 7. Impact of crop insurance on risk attitude and income source: Autnors estimate Note: ATT= Average treatment effect on treated. Matching method: Nearest neighbour with calliper Appendix 1: Summary of variables in the control and treatment groups Appendix 2: Crop insurance: reasons for non-adoption/dis-adoption (in per cent)
