Table 2.
Impact of Internet medical information spillover on farmers’ healthcare consumption.
| Variables and statistical parameters | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| int | 0.0458** | 0.0437** | 0.0449** |
| (0.0184) | (0.0184) | (0.0183) | |
| age | 0.0034 | 0.0026 | 0.0005 |
| (0.0025) | (0.0025) | (0.0025) | |
| gen | −0.0495 | −0.0512 | −0.0176 |
| (0.0490) | (0.0490) | (0.0516) | |
| edu | 0.0279*** | 0.0268*** | 0.0269*** |
| (0.0066) | (0.0066) | (0.0066) | |
| mar | 0.1916*** | 0.1646** | 0.1784*** |
| (0.0669) | (0.0672) | (0.0673) | |
| heal | 0.3325*** | 0.3322*** | 0.2744*** |
| (0.0209) | (0.0209) | (0.0219) | |
| m-ins | 0.3336*** | 0.3213*** | |
| (0.0829) | (0.0827) | ||
| chr | −0.6320*** | ||
| (0.0780) | |||
| dri | 0.1576** | ||
| (0.0770) | |||
| sat | −0.0200 | ||
| (0.0375) | |||
| lev | −0.0527* | ||
| (0.0315) | |||
| _cons | 3.7916*** | 3.5618*** | 4.4712*** |
| (0.1601) | (0.1699) | (0.2485) | |
| r2 | 0.0253 | 0.0267 | 0.0329 |
| N | 11,647 | 11,647 | 11,647 |
Note *, **, *** represent 10, 5, and 1% significance levels, respectively; numbers in parentheses represent standard errors (same below).