Table 3.
DID estimates of impact of COVID-19 incidence on wholesale prices of wheat, tomato, and onion
| April (log) prices | May (log) prices | June (log) prices | April–May (log) prices | April–June (log) prices | |
|---|---|---|---|---|---|
| Panel A: wheat | |||||
| HighCovid × year2020, | 0.007 (0.005) | − 0.010** (0.003) | − 0.021*** (0.002) | − 0.003 (0.003) | − 0.006 (0.004) |
| Observations | 18,998 | 24,310 | 20,777 | 43,308 | 64,085 |
| R square | 0.470 | 0.608 | 0.740 | 0.420 | 0.435 |
| Panel B: tomato | |||||
| HighCovid × year2020, | 0.028 (0.026) | − 0.086*** (0.024) | − 0.034 (0.033) | − 0.062* (0.031) | − 0.031 (0.024) |
| Observations | 15,877 | 16,216 | 15,369 | 32,093 | 47,462 |
| R square | 0.745 | 0.550 | 0.692 | 0.451 | 0.418 |
| Panel C: onion | |||||
| HighCovid × year2020, | 0.012 (0.028) | 0.050 (0.029) | − 0.059 (0.040) | − 0.005 (0.024) | 0.007 (0.028) |
| Observations | 16,281 | 16,857 | 15,909 | 33,138 | 49,047 |
| R square | 0.820 | 0.867 | 0.859 | 0.706 | 0.746 |
All regressions are based on specification 1 as described in the text. Coefficients in italics have pre-COVID-19 trends. Standard errors are clustered at the week and year level. *p < 0.10, **p < 0.05, ***p < 0.01