Table 6. Open in new tab Endogenous...

	Employment	Monthly earnings	Skills match	Self-employment
Panel A: Six-months impacts
ITT	0.054	53,255*	0.060**	0.036*
	(0.035)	(27430)	(0.029)	(0.019)
Low	−0.029	−0.048	−16,375	23,361	−0.061	−0.016	0.020	0.002
	(0.084)	(0.092)	(51,496)	(52,760)	(0.067)	(0.066)	(0.032)	(0.033)
Medium	−0.013	0.101	66,869	32,884	0.050	0.049	−0.021	0.014
	(0.086)	(0.089)	(61,676)	(68,088)	(0.073)	(0.071)	(0.047)	(0.045)
High	0.149**	0.060	45,841	71,061	0.134**	0.122	0.117**	0.124*
	(0.078)	(0.081)	(76,516)	(76,244)	(0.076)	(0.078)	(0.057)	(0.066)
Panel B: 18-months impacts
ITT	0.010	62,988*	0.038	0.040**
	(0.036)	(33,662)	(0.032)	(0.019)
Low	−0.053	−0.030	12,212	7195	−0.013	0.029	0.051	−0.025
	(0.098)	(0.096)	(53,573)	(54,063)	(0.065)	(0.065)	(0.039)	(0.039)
Medium	0.002	−0.055	23,233	−83,328	−0.066	0.027	0.042	−0.012
	(0.090)	(0.090)	(58,851)	(60,298)	(0.083)	(0.084)	(0.049)	(0.047)
High	−0.030	0.025	67,131	136,042	0.048	0.045	0.064	0.120**
	(0.082)	(0.084)	(86,479)	(88,084)	(0.088)	(0.095)	(0.061)	(0.057)

Employment

Monthly earnings

Skills match

Self-employment

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

Panel A: Six-months impacts

ITT

0.054

53,255*

0.060**

0.036*

(0.035)

(27430)

(0.029)

(0.019)

Low

−0.029

−0.048

−16,375

23,361

−0.061

−0.016

0.020

0.002

(0.084)

(0.092)

(51,496)

(52,760)

(0.067)

(0.066)

(0.032)

(0.033)

Medium

−0.013

0.101

66,869

32,884

0.050

0.049

−0.021

0.014

(0.086)

(0.089)

(61,676)

(68,088)

(0.073)

(0.071)

(0.047)

(0.045)

High

0.149**

0.060

45,841

71,061

0.134**

0.122

0.117**

0.124*

(0.078)

(0.081)

(76,516)

(76,244)

(0.076)

(0.078)

(0.057)

(0.066)

Panel B: 18-months impacts

ITT

0.010

62,988*

0.038

0.040**

(0.036)

(33,662)

(0.032)

(0.019)

Low

−0.053

−0.030

12,212

7195

−0.013

0.029

0.051

−0.025

(0.098)

(0.096)

(53,573)

(54,063)

(0.065)

(0.039)

Medium

0.002

−0.055

23,233

−83,328

−0.066

0.027

0.042

−0.012

(0.090)

(58,851)

(60,298)

(0.083)

(0.084)

(0.049)

(0.047)

High

−0.030

0.025

67,131

136,042

0.048

0.045

0.064

0.120**

(0.082)

(0.084)

(86,479)

(88,084)

(0.088)

(0.095)

(0.061)

(0.057)

	Employment	Monthly earnings	Skills match	Self-employment
Panel A: Six-months impacts
ITT	0.054	53,255*	0.060**	0.036*
	(0.035)	(27430)	(0.029)	(0.019)
Low	−0.029	−0.048	−16,375	23,361	−0.061	−0.016	0.020	0.002
	(0.084)	(0.092)	(51,496)	(52,760)	(0.067)	(0.066)	(0.032)	(0.033)
Medium	−0.013	0.101	66,869	32,884	0.050	0.049	−0.021	0.014
	(0.086)	(0.089)	(61,676)	(68,088)	(0.073)	(0.071)	(0.047)	(0.045)
High	0.149**	0.060	45,841	71,061	0.134**	0.122	0.117**	0.124*
	(0.078)	(0.081)	(76,516)	(76,244)	(0.076)	(0.078)	(0.057)	(0.066)
Panel B: 18-months impacts
ITT	0.010	62,988*	0.038	0.040**
	(0.036)	(33,662)	(0.032)	(0.019)
Low	−0.053	−0.030	12,212	7195	−0.013	0.029	0.051	−0.025
	(0.098)	(0.096)	(53,573)	(54,063)	(0.065)	(0.065)	(0.039)	(0.039)
Medium	0.002	−0.055	23,233	−83,328	−0.066	0.027	0.042	−0.012
	(0.090)	(0.090)	(58,851)	(60,298)	(0.083)	(0.084)	(0.049)	(0.047)
High	−0.030	0.025	67,131	136,042	0.048	0.045	0.064	0.120**
	(0.082)	(0.084)	(86,479)	(88,084)	(0.088)	(0.095)	(0.061)	(0.057)

Table 6.

Open in new tab

Endogenous Stratification Estimation Results Mongolian VT Program, 2014–2016

	Employment		Monthly earnings		Skills match		Self-employment
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
Panel A: Six-months impacts
ITT	0.054		53,255*		0.060**		0.036*
	(0.035)		(27430)		(0.029)		(0.019)
Low	−0.029	−0.048	−16,375	23,361	−0.061	−0.016	0.020	0.002
	(0.084)	(0.092)	(51,496)	(52,760)	(0.067)	(0.066)	(0.032)	(0.033)
Medium	−0.013	0.101	66,869	32,884	0.050	0.049	−0.021	0.014
	(0.086)	(0.089)	(61,676)	(68,088)	(0.073)	(0.071)	(0.047)	(0.045)
High	0.149**	0.060	45,841	71,061	0.134**	0.122	0.117**	0.124*
	(0.078)	(0.081)	(76,516)	(76,244)	(0.076)	(0.078)	(0.057)	(0.066)
Panel B: 18-months impacts
ITT	0.010		62,988*		0.038		0.040**
	(0.036)		(33,662)		(0.032)		(0.019)
Low	−0.053	−0.030	12,212	7195	−0.013	0.029	0.051	−0.025
	(0.098)	(0.096)	(53,573)	(54,063)	(0.065)	(0.065)	(0.039)	(0.039)
Medium	0.002	−0.055	23,233	−83,328	−0.066	0.027	0.042	−0.012
	(0.090)	(0.090)	(58,851)	(60,298)	(0.083)	(0.084)	(0.049)	(0.047)
High	−0.030	0.025	67,131	136,042	0.048	0.045	0.064	0.120**
	(0.082)	(0.084)	(86,479)	(88,084)	(0.088)	(0.095)	(0.061)	(0.057)

	Employment		Monthly earnings		Skills match		Self-employment
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)
Panel A: Six-months impacts
ITT	0.054		53,255*		0.060**		0.036*
	(0.035)		(27430)		(0.029)		(0.019)
Low	−0.029	−0.048	−16,375	23,361	−0.061	−0.016	0.020	0.002
	(0.084)	(0.092)	(51,496)	(52,760)	(0.067)	(0.066)	(0.032)	(0.033)
Medium	−0.013	0.101	66,869	32,884	0.050	0.049	−0.021	0.014
	(0.086)	(0.089)	(61,676)	(68,088)	(0.073)	(0.071)	(0.047)	(0.045)
High	0.149**	0.060	45,841	71,061	0.134**	0.122	0.117**	0.124*
	(0.078)	(0.081)	(76,516)	(76,244)	(0.076)	(0.078)	(0.057)	(0.066)
Panel B: 18-months impacts
ITT	0.010		62,988*		0.038		0.040**
	(0.036)		(33,662)		(0.032)		(0.019)
Low	−0.053	−0.030	12,212	7195	−0.013	0.029	0.051	−0.025
	(0.098)	(0.096)	(53,573)	(54,063)	(0.065)	(0.065)	(0.039)	(0.039)
Medium	0.002	−0.055	23,233	−83,328	−0.066	0.027	0.042	−0.012
	(0.090)	(0.090)	(58,851)	(60,298)	(0.083)	(0.084)	(0.049)	(0.047)
High	−0.030	0.025	67,131	136,042	0.048	0.045	0.064	0.120**
	(0.082)	(0.084)	(86,479)	(88,084)	(0.088)	(0.095)	(0.061)	(0.057)

Source: Author's calculations based on First and Second Follow up data.

Note: Bootstrap standard errors based on 500 bootstrap repetitions are reported in parenthesis. Adjusted endogenous stratification method follows leave-one-out estimator (Abadie, Chingos, and West et al. 2018). Odd-numbered columns use a set of standard socio-demographic baseline variables to compute predicted outcomes: age, gender, poverty index, schooling, married, whether has children, household size, whether living in Gers, disability status, and district of residence. Even-numbered columns use a larger set of baseline covariates by including 35 socio-demographic, labor and subjective expectations on jobs prospects variables. The treatment effects for each one of the three subgroups is estimated by a linear regression of the outcome variable on the treatment indicator, LASSO covariates, and fixed effects by day of random assignment. See notes in table 4 for further details.

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