Table B.8.
Effect of Essential Sectors on Number of Deaths per 100,000 Inhabitants: Aggregate Effect and Effect by Sector.
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| VARIABLES | Weighted | Weighted | Not Weighted | Not Weighted |
| Essential Sector (aggregate) | 0.073*** | 0.068*** | ||
| (0.027) | (0.021) | |||
| Accommodation and Food Service | 0.199 | 0.090 | ||
| (0.197) | (0.129) | |||
| Construction | 3.260 | 0.529 | ||
| (2.887) | (1.944) | |||
| Manufacturing | 0.347 | 0.349 | ||
| (0.320) | (0.270) | |||
| Admin. and Support Services | 0.493 | 0.335 | ||
| (0.609) | (0.425) | |||
| Health and Social Work | 0.852** | 0.862** | ||
| (0.423) | (0.362) | |||
| Finance, Prof. Services and Commerce | 1.148*** | 1.436*** | ||
| (0.387) | (0.501) | |||
| Transporting and Storage | 0.098 | 0.247 | ||
| (0.329) | (0.278) | |||
| Other | 0.026 | 0.699 | ||
| (0.709) | (0.457) | |||
| Observations | 7,314 | 7,314 | 7,314 | 7,314 |
| R-squared | 0.575 | 0.582 | 0.565 | 0.569 |
| Ep. Trend 4th | YES | YES | YES | YES |
| Controls | YES | YES | YES | YES |
| Province FE | YES | YES | YES | YES |
| Date FE | YES | YES | YES | YES |
Note: OLS regressions for the difference-in-differences model reported in Eq. (1). Regression based on daily data for 106 Italian provinces between the 25th of February and the 3rd of May 2020. Dependent variable is the number of deaths per 100,000 inhabitants. All variables are interaction terms between the density of essential workers by sector (00 of essential workers per built squared kilometre) interacted with a dummy for the period after the 23rd of March 2020. Ep.Trend 4th is a fourth order polynomial for a trend since the first positive registered case of Covid-19 in the province. Observations weighted by inhabitants on the 1st of January 2020 in Column (1) and Column (2), and not weighted in Column (3) and Column (4). Standard errors clustered at the province level reported in parenthesis. Level of significance: ***, 0.01; **, 0.05; *, 0.1.