Moving out of the bottom of the economy? Constraints to firm transition in the Indian informal manufacturing sector

IZA Journal of Labor & Development

Table 3 Results: ordered logistic regression estimates

		Dependent variable: ENTYP
Variables	Model 1	Model 2	Model 3	Model 4
Finance
CAPSHOR	−0.116*** (0.013)	−0.059*** (0.014)	−0.054*** (0.014)	−0.038*** (0.015)
Firm capabilities
LINKAGE		0.237*** (0.015)	0.112*** (0.016)	0.057*** (0.017)
ASSISTANCE		0.365*** (0.080)	0.460*** (0.081)	0.550*** (0.082)
ACMAINT		1.466*** (0.021)	1.352*** (0.022)	1.296*** (0.023)
REGIS		2.227*** (0.014)	1.972*** (0.014)	1.860*** (0.015)
Locational variables
LOCATION			0.882*** (0.013)	0.751*** (0.014)
URBAN			0.219*** (0.014)	0.109*** (0.016)
TRANSPORT			0.215*** (0.018)	0.143* (0.019)
DISTANCE			−0.001*** (0.000)	−0.0004*** (0.000)
Infrastructure and human capital variables
ELEC				0.620*** (0.015)
SHSCSTPOP				0.039 (0.067)
PRIMEDU				−1.771*** (0.119)
MIDGRADEDU				1.062*** (0.084)
ROADVILLG				1.147*** (0.038)
Other control variables
STATUS			0.474*** (0.014)	0.519*** (0.014)
Industry dummy	Y	Y	Y	Y
Year dummy	Y	Y	Y	Y
N	294,733	294,733	294,733	281,603
Pseudo R2	0.06	0.19	0.21	0.22
Log likelihood	−136,052.18	−117,687.89	−113,759.62	−103,482.87
Chi-squared	17,606.59	54,335.17	62,191.71	58,371.55
Prob > chi-squared	0.0000	0.0000	0.0000	0.0000

Source: same as in Table 1
^aSampling weights have been applied for estimation, which implies a population of about 49.1 million observations (all survey rounds together)
^bFigures in parentheses are robust standard errors. (i) ***indicate significance at minimum 1 % level
^cSee notes to Table 1 for variable definitions