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Research Article

Measuring Dynamic Effects of Remittances on Poverty and Inequality with Evidence from Kosovo

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Figures & data

Table 1. Demographic characteristics of households with and without migrants, 2011.

Table 2. Income situation of households with and without migrants, 2011.

Table 3. Estimated treatment effects on migrant households.

Table 4. Estimated treatment effects on rural and urban migrant households.

Table 5. Income distribution and remittances (2011).

Table 6. Poverty in Kosovo (2011).

Figure 1. Dose-response function of expected poverty incidence.

Figure 1. Dose-response function of expected poverty incidence.

Figure 2. Dose-response function of expected annual income.

Figure 2. Dose-response function of expected annual income.

Figure A1. Densities of propensity scores before and after matching.

Figure A1. Densities of propensity scores before and after matching.

Visual inspection of overlap condition.

Visual inspection of overlap condition.

Standardized percentage bias before and after matching.

Standardized percentage bias before and after matching.

Standardized percentage bias before and after matching.

Standardized percentage bias before and after matching.

Table A1. Descriptive statistics of variables in the PSM logit model.

PSM logit results -psmatch2.

Testing the balance of covariates and absolute bias reduction.

R2 of raw and matched model.

Rosenbaum bounds test for sensitivity.

Distribution of treatment intervals.

ML regression results to predict GPS.

Covariate balance given the GPS.

Estimated ML coefficients given treatment variable and GPS.

Estimated OLS coefficients given treatment variable and GPS.