First stage regression – total household expenditures
| (1) | |
|---|---|
| Total expenditures | |
| Win_region | −0.179*** (−14.54) |
| Lottery | 0.391*** (52.71) |
| Lottery*win_region | 0.0546*** (3.35) |
| Log lottery expenditure | −1.280*** (−25.15) |
| log-GDP | −1.588*** (−6.59) |
| Age | −0.0292*** (−14.37) |
| Age2 | 0.000243*** (12.16) |
| Marital_status | 0.0523*** (14.45) |
| Education | 0.0194*** (8.59) |
| Employed | −0.000287 (−0.04) |
| Retired | −0.153*** (−7.51) |
| _cons | 12.17*** (18.52) |
| Specification | Expenditures in logarithms |
| N | 211,096 |
| R-squared | 0.858 |
| (1) | |
|---|---|
| Total expenditures | |
| Win_region | −0.179 |
| Lottery | 0.391 |
| Lottery*win_region | 0.0546 |
| Log lottery expenditure | −1.280 |
| log-GDP | −1.588 |
| Age | −0.0292 |
| Age2 | 0.000243 |
| Marital_status | 0.0523 |
| Education | 0.0194 |
| Employed | −0.000287 (−0.04) |
| Retired | −0.153 |
| _cons | 12.17 |
| Specification | Expenditures in logarithms |
| 211,096 | |
| 0.858 |
Source: Instituto Nacional de Estadística (INE). This table presents the extended results of Table 5, where we described in detail the specifications and the estimation process. We compute robust standard errors. t-statistics in parentheses: *p < 0.05, **p < 0.01 and ***p < 0.001
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