Skip to main content

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