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Table 6 Logit regression on successful migration (quintile upward move)

From: The effects of migration on poverty and inequality in rural Kosovo

Independent variables

Coefficient

Std. Err.

Sig.

Exp(B)

95% Conf. Interval

agehhh

0.171

0.067

0.011

1.186

1.039

1.353

agehhh2

−0.002

0.001

0.006

0.998

0.997

0.999

genderhhh

0.607

0.419

0.148

1.834

0.807

4.170

eduyhhh

−0.052

0.053

0.328

0.949

0.856

1.053

unemployed

−0.720

0.329

0.028

0.487

0.255

0.927

Albanian

0.702

0.387

0.069

2.018

0.946

4.308

maxeduhigh

0.796

0.326

0.015

2.216

1.170

4.198

depratio

−0.725

0.257

0.005

0.484

0.293

0.801

sumofactive

−0.437

0.112

0.000

0.646

0.519

0.804

nomigr

−0.020

0.068

0.765

0.980

0.857

1.120

munrem2009_2

0.000

0.000

0.000

1.000

1.000

1.000

rem

0.016

0.006

0.010

1.017

1.004

1.029

cfpcinc

−0.002

0.000

0.000

0.998

0.998

0.999

Prishtina

−0.021

0.712

0.976

0.979

0.243

3.949

Mitrovica

−0.763

0.758

0.314

0.466

0.105

2.062

Peje

−0.763

0.768

0.320

0.466

0.104

2.098

Gjilan

−0.612

0.768

0.426

0.542

0.120

2.443

Prizren

−0.056

0.762

0.942

0.946

0.212

4.209

Ferizaj

−0.067

0.748

0.928

0.935

0.216

4.049

constant

−0.037

1.909

0.985

0.964

  

Number of observations = 389 migrant households.

      

chi2(19) = 175.063.

      

Prob > chi2 = 0.000.

      

Nagelkerke R2 = 0.484.

      

Hosmer Lemeshow chi2 (8) = 4.324.

      

Prob > chi2 = 0.827.

  1. Source: Own calculation based on KRS 2010 data.
  2. Note: Dependent variable: successful migration (dummy that turns 1 if household moves upwards to a higher quintile compared to the counterfactual situation; for migrant household starting from the highest quintile a 20% increase in incomes turns the dummy to 1).