Skip to main content

Table 3 Results: ordered logistic regression estimates

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

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