Table 3:
Impact of regional food price increase on food insecurity in the medium run
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|---|---|---|---|---|
| (1) | (2) | (3) | (4) | |
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| Levels of food insecurity | ||||
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| Outcome variables: | Moderate-or-severe | Severe | Moderate-or-severe | Severe |
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| Food price increase | 1.012** (0.005) |
1.023** (0.009) |
1.012** (0.005) |
1.025*** (0.009) |
| Health shock | 0.706** (0.097) |
0.392*** (0.115) |
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| Non-agri. income loss | 0.981 (0.197) |
0.498* (0.179) |
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| Loss of crop | 1.105 (0.255) |
0.814 (0.279) |
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| Theft of property | 1.110 (0.232) |
1.096 (0.384) |
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| Negative agri. price shock | 1.327 (0.270) |
0.990 (0.341) |
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| Round 4 dummy | 0.361*** (0.060) |
0.708 (0.203) |
0.369*** (0.063) |
0.655 (0.193) |
| Round 6 dummy | 0.352*** (0.057) |
0.423*** (0.122) |
0.359*** (0.059) |
0.394*** (0.117) |
| Round 10 dummy | 0.227*** (0.027) |
0.117*** (0.028) |
0.230*** (0.028) |
0.100*** (0.025) |
| No of observations | 2,684 | 1,010 | 2,684 | 1,010 |
| Number of households | 695 | 260 | 695 | 260 |
Note: Conditional logit model. Odds ratio presented and standard errors are in parentheses.
indicates significance at 1% level
at 5%
at 10%. All dependent variables are dummy variables.