Table 6.
Heterogeneous Effect of Flu on Wages: Heterogeneous Effects.
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | |
|---|---|---|---|---|---|---|---|---|---|
| Agriculture | Builder | Stone-Cutter | Carpenter | Blacksmith | Metal | Painter | Tailor | Shoemaker | |
| Panel A: Density | |||||||||
| Excess Death Ratect | −8.03** | −3.79 | −4.11 | −5.83* | −3.61* | 1.07 | −6.46** | −7.98*** | −8.56 |
| (2.96) | (2.23) | (3.73) | (3.31) | (1.81) | (2.74) | (2.46) | (2.37) | (5.11) | |
| EDRct * Densityc | −9.46** | −2.87* | 1.43 | −0.50 | −9.84*** | −13.88*** | −4.16** | −8.95** | −10.21** |
| (3.72) | (1.50) | (2.08) | (1.40) | (1.99) | (2.51) | (1.45) | (3.43) | (3.49) | |
| Lag Real Wagect | −0.62*** | −0.56*** | −0.51*** | −0.51*** | −0.51*** | −0.48*** | −0.45*** | −0.44*** | −0.53*** |
| (0.08) | (0.07) | (0.06) | (0.07) | (0.08) | (0.06) | (0.07) | (0.07) | (0.09) | |
| Panel B: Industrialization | |||||||||
| Excess Death Ratect | −11.27*** | −4.11 | −2.94 | −5.34* | −6.47*** | −2.98 | −7.34*** | −11.02*** | −11.97** |
| (2.87) | (2.61) | (3.00) | (2.77) | (1.73) | (2.44) | (2.36) | (2.87) | (5.12) | |
| EDRct ∗ Industrializationc | −0.28 | −5.65** | −5.42** | −5.26 | −4.46** | −7.91*** | −4.73 | −0.42 | −1.04 |
| (2.55) | (2.32) | (1.87) | (3.60) | (1.74) | (2.34) | (3.13) | (2.31) | (2.11) | |
| Lag Real Wagect | −0.61*** (0.08) | −0.56*** (0.07) | −0.52*** (0.06) | −0.52*** (0.07) | −0.52*** (0.08) | −0.46*** (0.06) | −0.45*** (0.07) | −0.44*** (0.06) | −0.53*** (0.09) |
| Province Fixed Effects | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Year Fixed Effects | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| Observations | 720 | 720 | 720 | 720 | 720 | 720 | 720 | 720 | 720 |
Notes: Dependent variable is annual growth rate of real wage for province and year.Excess Death Rate is difference between actual number of death and predicted by linear regression (normalized by population). In Panel A, Density is a dummy equal to one if density (thousands of people by square-km in 1910) is above median. In Panel B, Ind. is dummy equal to one if share of population in manufacturing sector in 1910 is above the median. The table reports fixed effects regressions weighted by population. Standard errors are clustered at the year level. * p < 0.10, ** p < 0.05, *** p < 0.01.