| . | All . | Inexperienced . | Experienced . | |||
|---|---|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . | (5) . | (6) . |
| Death info: high | −0.472* | −0.379 | −0.537 | −0.477 | −0.476 | −0.202 |
| (0.275) | (0.253) | (0.429) | (0.386) | (0.324) | (0.295) | |
| Death info: low | −0.092 | −0.010 | −0.458 | −0.272 | 0.175 | 0.232 |
| (0.239) | (0.223) | (0.424) | (0.370) | (0.300) | (0.290) | |
| Wage info: high | −0.339 | −0.530** | −1.118*** | −1.174*** | 0.221 | 0.045 |
| (0.243) | (0.230) | (0.399) | (0.381) | (0.266) | (0.246) | |
| Wage info: low | −0.037 | −0.118 | −0.799** | −0.631* | 0.387 | 0.305 |
| (0.256) | (0.230) | (0.391) | (0.370) | (0.323) | (0.298) | |
| Controls | No | Yes | No | Yes | No | Yes |
| Observations | 3319 | 3319 | 1411 | 1411 | 1341 | 1341 |
| R-squared | 0.089 | 0.224 | 0.102 | 0.228 | 0.143 | 0.278 |
| Control group mean | 10.9 | 12.3 | 9.66 | |||
| Standard deviation | (8.18) | (11.1) | (4.4) | |||
| . | All . | Inexperienced . | Experienced . | |||
|---|---|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . | (5) . | (6) . |
| Death info: high | −0.472* | −0.379 | −0.537 | −0.477 | −0.476 | −0.202 |
| (0.275) | (0.253) | (0.429) | (0.386) | (0.324) | (0.295) | |
| Death info: low | −0.092 | −0.010 | −0.458 | −0.272 | 0.175 | 0.232 |
| (0.239) | (0.223) | (0.424) | (0.370) | (0.300) | (0.290) | |
| Wage info: high | −0.339 | −0.530** | −1.118*** | −1.174*** | 0.221 | 0.045 |
| (0.243) | (0.230) | (0.399) | (0.381) | (0.266) | (0.246) | |
| Wage info: low | −0.037 | −0.118 | −0.799** | −0.631* | 0.387 | 0.305 |
| (0.256) | (0.230) | (0.391) | (0.370) | (0.323) | (0.298) | |
| Controls | No | Yes | No | Yes | No | Yes |
| Observations | 3319 | 3319 | 1411 | 1411 | 1341 | 1341 |
| R-squared | 0.089 | 0.224 | 0.102 | 0.228 | 0.143 | 0.278 |
| Control group mean | 10.9 | 12.3 | 9.66 | |||
| Standard deviation | (8.18) | (11.1) | (4.4) | |||
Source: Author’s calculations based on own survey data.
Note: This table shows the impact of information treatments on expected net earnings from migration (in thousands of USD) estimated using equation (1). The value of net earnings from migration is obtained from each migrant’s expected monthly earnings multiplied by the modal duration of a migration episode to their chosen destination after subtracting the expected fees of migrating to that destination. Odd-numbered columns do not have any controls other than the intended country of destination; even-numbered columns also control for fixed effects in age, years of education, region, ecological belt, rural/urban, and previous migration experience where applicable. Standard errors, reported in parentheses, are clustered at the surveyor × date of interview level. * |$p\lt 0.1$|; ** p < 0.05; *** p < 0.01.
| . | All . | Inexperienced . | Experienced . | |||
|---|---|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . | (5) . | (6) . |
| Death info: high | −0.472* | −0.379 | −0.537 | −0.477 | −0.476 | −0.202 |
| (0.275) | (0.253) | (0.429) | (0.386) | (0.324) | (0.295) | |
| Death info: low | −0.092 | −0.010 | −0.458 | −0.272 | 0.175 | 0.232 |
| (0.239) | (0.223) | (0.424) | (0.370) | (0.300) | (0.290) | |
| Wage info: high | −0.339 | −0.530** | −1.118*** | −1.174*** | 0.221 | 0.045 |
| (0.243) | (0.230) | (0.399) | (0.381) | (0.266) | (0.246) | |
| Wage info: low | −0.037 | −0.118 | −0.799** | −0.631* | 0.387 | 0.305 |
| (0.256) | (0.230) | (0.391) | (0.370) | (0.323) | (0.298) | |
| Controls | No | Yes | No | Yes | No | Yes |
| Observations | 3319 | 3319 | 1411 | 1411 | 1341 | 1341 |
| R-squared | 0.089 | 0.224 | 0.102 | 0.228 | 0.143 | 0.278 |
| Control group mean | 10.9 | 12.3 | 9.66 | |||
| Standard deviation | (8.18) | (11.1) | (4.4) | |||
| . | All . | Inexperienced . | Experienced . | |||
|---|---|---|---|---|---|---|
| . | (1) . | (2) . | (3) . | (4) . | (5) . | (6) . |
| Death info: high | −0.472* | −0.379 | −0.537 | −0.477 | −0.476 | −0.202 |
| (0.275) | (0.253) | (0.429) | (0.386) | (0.324) | (0.295) | |
| Death info: low | −0.092 | −0.010 | −0.458 | −0.272 | 0.175 | 0.232 |
| (0.239) | (0.223) | (0.424) | (0.370) | (0.300) | (0.290) | |
| Wage info: high | −0.339 | −0.530** | −1.118*** | −1.174*** | 0.221 | 0.045 |
| (0.243) | (0.230) | (0.399) | (0.381) | (0.266) | (0.246) | |
| Wage info: low | −0.037 | −0.118 | −0.799** | −0.631* | 0.387 | 0.305 |
| (0.256) | (0.230) | (0.391) | (0.370) | (0.323) | (0.298) | |
| Controls | No | Yes | No | Yes | No | Yes |
| Observations | 3319 | 3319 | 1411 | 1411 | 1341 | 1341 |
| R-squared | 0.089 | 0.224 | 0.102 | 0.228 | 0.143 | 0.278 |
| Control group mean | 10.9 | 12.3 | 9.66 | |||
| Standard deviation | (8.18) | (11.1) | (4.4) | |||
Source: Author’s calculations based on own survey data.
Note: This table shows the impact of information treatments on expected net earnings from migration (in thousands of USD) estimated using equation (1). The value of net earnings from migration is obtained from each migrant’s expected monthly earnings multiplied by the modal duration of a migration episode to their chosen destination after subtracting the expected fees of migrating to that destination. Odd-numbered columns do not have any controls other than the intended country of destination; even-numbered columns also control for fixed effects in age, years of education, region, ecological belt, rural/urban, and previous migration experience where applicable. Standard errors, reported in parentheses, are clustered at the surveyor × date of interview level. * |$p\lt 0.1$|; ** p < 0.05; *** p < 0.01.
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