Table 7

Two-stage least squares (2SLS) regression results

Variables(1)(2)(3)(4)(5)(6)(7)(8)
Model 1Model 2Model 3Model 4Model 5Model 6Model 7Model 8
FPBODDependent variable = NPL
LAGFPBOD0.881***       
(0.0311)       
FPBOD −0.266***−0.179**−0.213**−0.296***−0.306**−0.366***−0.405***
 (0.0824)(0.0890)(0.0841)(0.0960)(0.134)(0.0903)(0.0817)
FE_IND  −0.775***     
  (0.182)     
FE_LED   −0.0615***    
   (0.0177)    
FE_EXP    −0.310**   
    (0.122)   
FE_HEDU     −0.191  
     (0.168)  
FE_FOREDU      −0.221 
      (0.153) 
FE_ACFI       −0.138
       (0.164)
Constant−0.1242.781***2.627***2.651***1.462***1.505***1.538***1.514***
(0.120)(0.380)(0.374)(0.374)(0.359)(0.367)(0.362)(0.376)
All controlsYesYesYesYesYesYesYesYes
Year fixedYesYesYesYesYesYesYesYes
Industry fixedYesYesYesYesYesYesYesYes
Observations312312306306281281281281
R-squared0.7910.6900.7010.6970.7290.7250.7240.721
Adj. R-squared0.7800.6730.6830.6790.7110.7070.7060.703
F-statistic89.49***45.83***50.15***44.29***44.84***43.55***44.52***43.61***
LR statistic (underidentification test) 430.94***401.59***413.59***323.07***245.35***356.17***392.07***
Cragg-Donald F statistic (weak identification test) 879.01***781.94***824.75***567.36***366.73***671.19***798.48***

Note(s): Numbers in parentheses are robust standard error. Superscripts ***, **, and * denote significance at the 1%, 5%, and 10% levels, respectively. The definitions of variables are given in  Appendix

Source(s): Created by author

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