Table 4.

Correlation Between Information Treatments and Various Attrition Measures

AllInexperiencedExperienced
(1)(2)(3)(4)(5)(6)
Attrition-F: Did not conduct full follow-up survey
Death info: high0.0050.005−0.0010.0020.0150.013
(0.016)(0.016)(0.023)(0.023)(0.023)(0.024)
Death info: low0.030*0.034**0.0160.0220.060***0.065***
(0.016)(0.016)(0.025)(0.026)(0.021)(0.021)
Wage info: high−0.031**−0.032**−0.041*−0.043*−0.020−0.015
(0.015)(0.015)(0.023)(0.023)(0.023)(0.023)
Wage info: low0.0030.0030.0090.0020.0130.015
(0.017)(0.016)(0.025)(0.025)(0.024)(0.024)
ControlsNoYesNoYesNoYes
Control group mean0.1620.1520.149
Standard deviation(0.369)(0.36)(0.357)
Attrition-B: Migration status unknown
Death info: high0.0160.0160.0050.0080.0220.020
(0.015)(0.015)(0.022)(0.021)(0.020)(0.021)
Death info: low0.036**0.040***0.0140.0210.065***0.067***
(0.015)(0.014)(0.023)(0.023)(0.020)(0.020)
Wage info: high−0.031**−0.031**−0.044**−0.046**−0.014−0.009
(0.014)(0.014)(0.021)(0.021)(0.021)(0.021)
Wage info: low−0.003−0.001−0.012−0.0170.0160.019
(0.015)(0.014)(0.023)(0.023)(0.022)(0.022)
ControlsNoYesNoYesNoYes
Control group mean0.130.1270.112
Standard deviation(0.337)(0.334)(0.316)
Attrition-P: Incorrect phone numbers or refused to interview
Death info: high0.0010.001−0.0020.001−0.002−0.003
(0.008)(0.008)(0.012)(0.012)(0.013)(0.014)
Death info: low0.0030.005−0.0020.0020.0130.013
(0.008)(0.009)(0.013)(0.013)(0.013)(0.014)
Wage info: high−0.001−0.000−0.012−0.0110.0010.001
(0.007)(0.007)(0.011)(0.011)(0.012)(0.012)
Wage info: low0.0030.0030.0100.009−0.004−0.003
(0.007)(0.007)(0.013)(0.012)(0.011)(0.011)
ControlsNoYesNoYesNoYes
Control group mean0.03990.03640.0435
Standard deviation(0.196)(0.188)(0.205)
AllInexperiencedExperienced
(1)(2)(3)(4)(5)(6)
Attrition-F: Did not conduct full follow-up survey
Death info: high0.0050.005−0.0010.0020.0150.013
(0.016)(0.016)(0.023)(0.023)(0.023)(0.024)
Death info: low0.030*0.034**0.0160.0220.060***0.065***
(0.016)(0.016)(0.025)(0.026)(0.021)(0.021)
Wage info: high−0.031**−0.032**−0.041*−0.043*−0.020−0.015
(0.015)(0.015)(0.023)(0.023)(0.023)(0.023)
Wage info: low0.0030.0030.0090.0020.0130.015
(0.017)(0.016)(0.025)(0.025)(0.024)(0.024)
ControlsNoYesNoYesNoYes
Control group mean0.1620.1520.149
Standard deviation(0.369)(0.36)(0.357)
Attrition-B: Migration status unknown
Death info: high0.0160.0160.0050.0080.0220.020
(0.015)(0.015)(0.022)(0.021)(0.020)(0.021)
Death info: low0.036**0.040***0.0140.0210.065***0.067***
(0.015)(0.014)(0.023)(0.023)(0.020)(0.020)
Wage info: high−0.031**−0.031**−0.044**−0.046**−0.014−0.009
(0.014)(0.014)(0.021)(0.021)(0.021)(0.021)
Wage info: low−0.003−0.001−0.012−0.0170.0160.019
(0.015)(0.014)(0.023)(0.023)(0.022)(0.022)
ControlsNoYesNoYesNoYes
Control group mean0.130.1270.112
Standard deviation(0.337)(0.334)(0.316)
Attrition-P: Incorrect phone numbers or refused to interview
Death info: high0.0010.001−0.0020.001−0.002−0.003
(0.008)(0.008)(0.012)(0.012)(0.013)(0.014)
Death info: low0.0030.005−0.0020.0020.0130.013
(0.008)(0.009)(0.013)(0.013)(0.013)(0.014)
Wage info: high−0.001−0.000−0.012−0.0110.0010.001
(0.007)(0.007)(0.011)(0.011)(0.012)(0.012)
Wage info: low0.0030.0030.0100.009−0.004−0.003
(0.007)(0.007)(0.013)(0.012)(0.011)(0.011)
ControlsNoYesNoYesNoYes
Control group mean0.03990.03640.0435
Standard deviation(0.196)(0.188)(0.205)

Source: Author’s calculations based on own survey data.

Note: This table checks whether the three measures of attrition are correlated with information treatments using equation (1). The heading of each panel indicates and defines the measure of migration. 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.

Table 4.

Correlation Between Information Treatments and Various Attrition Measures

AllInexperiencedExperienced
(1)(2)(3)(4)(5)(6)
Attrition-F: Did not conduct full follow-up survey
Death info: high0.0050.005−0.0010.0020.0150.013
(0.016)(0.016)(0.023)(0.023)(0.023)(0.024)
Death info: low0.030*0.034**0.0160.0220.060***0.065***
(0.016)(0.016)(0.025)(0.026)(0.021)(0.021)
Wage info: high−0.031**−0.032**−0.041*−0.043*−0.020−0.015
(0.015)(0.015)(0.023)(0.023)(0.023)(0.023)
Wage info: low0.0030.0030.0090.0020.0130.015
(0.017)(0.016)(0.025)(0.025)(0.024)(0.024)
ControlsNoYesNoYesNoYes
Control group mean0.1620.1520.149
Standard deviation(0.369)(0.36)(0.357)
Attrition-B: Migration status unknown
Death info: high0.0160.0160.0050.0080.0220.020
(0.015)(0.015)(0.022)(0.021)(0.020)(0.021)
Death info: low0.036**0.040***0.0140.0210.065***0.067***
(0.015)(0.014)(0.023)(0.023)(0.020)(0.020)
Wage info: high−0.031**−0.031**−0.044**−0.046**−0.014−0.009
(0.014)(0.014)(0.021)(0.021)(0.021)(0.021)
Wage info: low−0.003−0.001−0.012−0.0170.0160.019
(0.015)(0.014)(0.023)(0.023)(0.022)(0.022)
ControlsNoYesNoYesNoYes
Control group mean0.130.1270.112
Standard deviation(0.337)(0.334)(0.316)
Attrition-P: Incorrect phone numbers or refused to interview
Death info: high0.0010.001−0.0020.001−0.002−0.003
(0.008)(0.008)(0.012)(0.012)(0.013)(0.014)
Death info: low0.0030.005−0.0020.0020.0130.013
(0.008)(0.009)(0.013)(0.013)(0.013)(0.014)
Wage info: high−0.001−0.000−0.012−0.0110.0010.001
(0.007)(0.007)(0.011)(0.011)(0.012)(0.012)
Wage info: low0.0030.0030.0100.009−0.004−0.003
(0.007)(0.007)(0.013)(0.012)(0.011)(0.011)
ControlsNoYesNoYesNoYes
Control group mean0.03990.03640.0435
Standard deviation(0.196)(0.188)(0.205)
AllInexperiencedExperienced
(1)(2)(3)(4)(5)(6)
Attrition-F: Did not conduct full follow-up survey
Death info: high0.0050.005−0.0010.0020.0150.013
(0.016)(0.016)(0.023)(0.023)(0.023)(0.024)
Death info: low0.030*0.034**0.0160.0220.060***0.065***
(0.016)(0.016)(0.025)(0.026)(0.021)(0.021)
Wage info: high−0.031**−0.032**−0.041*−0.043*−0.020−0.015
(0.015)(0.015)(0.023)(0.023)(0.023)(0.023)
Wage info: low0.0030.0030.0090.0020.0130.015
(0.017)(0.016)(0.025)(0.025)(0.024)(0.024)
ControlsNoYesNoYesNoYes
Control group mean0.1620.1520.149
Standard deviation(0.369)(0.36)(0.357)
Attrition-B: Migration status unknown
Death info: high0.0160.0160.0050.0080.0220.020
(0.015)(0.015)(0.022)(0.021)(0.020)(0.021)
Death info: low0.036**0.040***0.0140.0210.065***0.067***
(0.015)(0.014)(0.023)(0.023)(0.020)(0.020)
Wage info: high−0.031**−0.031**−0.044**−0.046**−0.014−0.009
(0.014)(0.014)(0.021)(0.021)(0.021)(0.021)
Wage info: low−0.003−0.001−0.012−0.0170.0160.019
(0.015)(0.014)(0.023)(0.023)(0.022)(0.022)
ControlsNoYesNoYesNoYes
Control group mean0.130.1270.112
Standard deviation(0.337)(0.334)(0.316)
Attrition-P: Incorrect phone numbers or refused to interview
Death info: high0.0010.001−0.0020.001−0.002−0.003
(0.008)(0.008)(0.012)(0.012)(0.013)(0.014)
Death info: low0.0030.005−0.0020.0020.0130.013
(0.008)(0.009)(0.013)(0.013)(0.013)(0.014)
Wage info: high−0.001−0.000−0.012−0.0110.0010.001
(0.007)(0.007)(0.011)(0.011)(0.012)(0.012)
Wage info: low0.0030.0030.0100.009−0.004−0.003
(0.007)(0.007)(0.013)(0.012)(0.011)(0.011)
ControlsNoYesNoYesNoYes
Control group mean0.03990.03640.0435
Standard deviation(0.196)(0.188)(0.205)

Source: Author’s calculations based on own survey data.

Note: This table checks whether the three measures of attrition are correlated with information treatments using equation (1). The heading of each panel indicates and defines the measure of migration. 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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