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298Table 5. OLS Regression Models Predicting Remittances Amount in Previous YearModel 1 Model 2 Model 3 Model 4 Model 5Independent Variables b SE b SE b SE b SE b SESocio-Demographic CharacteristicsAge 0.0001 0.005 0.004 0.008 -0.002 0.006 0.006 0.006 0.002 0.010Married -0.087 0.083 -0.135 0.136 -0.093 0.104 -0.046 0.105 -0.220 0.158Years <strong>of</strong> schooling 0.010 0.014 -0.007 0.022 0.017 0.017 0.013 0.017 -0.019 0.026Household CharacteristicsDependency ratio -0.364 † 0.191 -0.582 † 0.316 -0.009 0.239 -0.366 0.240 -0.452 0.371Homeownership 0.288 * 0.116 0.199 0.187 0.182 0.141 0.262 † 0.158 0.359 0.236Migration-Economic CharacteristicsDuration <strong>of</strong> stay overseas -0.010 0.010 -0.023 0.017 -0.014 0.013 -0.011 0.012 -0.042 † 0.022Emigration cost 0.008 ** 0.002 0.005 0.003 0.007 ** 0.002 0.007 ** 0.002 0.009 * 0.004Village Economic ContextProportion <strong>of</strong> females in industry -0.791 0.580 -0.340 3.413Village InfrastructureDistance to national highway -0.005 0.005 -0.017 † 0.010Bank <strong>of</strong> China branch -0.146 0.101Village Agrarian ContextAgrarian population density 0.016 * 0.008 0.014 0.021Proportion <strong>of</strong> agrarian land 0.489 * 0.203 -0.218 0.317Intercept 8.054 ** 0.260 8.534 ** 0.402 8.249 ** 0.323 7.682 ** 0.334 8.734 ** 0.517Number <strong>of</strong> emigrants 1,282 559 811 812 410† p < 0.10; * p < 0.05; ** p < 0.01

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