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Table 4 OLS, IV, and conditional IV regression estimates (multiple-sibling migrants only)

From: The remittance behaviour of Kenyan sibling migrants

Variables

OLS

IV

Conditional IV

Amount of remittances sent by other siblings

0.295***

0.153

0.0752

(0.0470)

(0.174)

(0.160)

Conditional likelihood ratio test confidence interval

 

[−0.32, 0.52], p value = 0.49

F-test of instruments

 

F(2, 327) = 6.87, p value = 0.0012

 

Sargan test (assuming homoscedasticity)

 

χ 2(1) = 2.170, p value = 0.141

 

Hansen’s J-statistic (assuming heteroscedasticity)

 

χ 2(1) = 2.22, p value = 0.136

 

Wu-Hausman exogeneity test

 

F(1327) = 0.696, p value = 0.405

 

Weak instrument robust tests for endogenous variableϮ

  

 Conditional likelihood ratio test

 

Stat (.) = 0.53, p value = 0.476

 

 Anderson-Rubin test

 

χ 2(2) = 2.71, p value = 0.258

 

 Lagrange multiplier test for the structural parameter

 

χ 2(1) = 0.48, p value = 0.487

 

J test for over-identification

 

χ 2(1) = 2.22, p value = 0.136

 

 Wald testϝ

 

χ 2(1) = 0.77, p value = 0.38

 

Other explanatory variables

Yes

Yes

Yes

N

347

347

347

R-squared

0.255

0.233

0.233

  1. Notes to the table: (i) ***denotes statistical significance from zero at the 1 % level using a two-tailed test. (ii) Robust standard errors clustered at the household level are reported in parentheses. (iii) Other variables are included in these models but not shown here in order to conserve space (see text for details). (iv) The following variables are used as instruments in the IV and conditional IV models: the total number of other sibling migrants with secondary education and the total number of other sibling migrants residing in an external destination. (v) ϮThese are tests of the significance of the coefficient on the endogenous variable in the IV model which are robust to weak instruments. (vi) ϝ This is a Wald test of the significance of the coefficient on the endogenous variable in the IV model and is not robust to weak instruments