Table 7.

Main regression results using 2SLS

Variables(1)(2)(3)(4)
ESIESIESIESI
CUST_P3.7477*** (0.3983)   
EMP_P 0.0900* (0.0465)  
SUP_P  0.0044*** (0.0013) 
SHR_P   0.0019 (0.0020)
FAGE−0.0237*** (0.0057)−0.0238*** (0.0057)−0.0246*** (0.0057)−0.0225*** (0.0059)
FSIZE0.9320*** (0.0274)1.0127*** (0.0468)0.9408*** (0.0275)0.9358*** (0.0284)
FLEV0.6798*** (0.1799)0.8596*** (0.1807)0.8468*** (0.1798)0.8555*** (0.1808)
ROA1.8016*** (0.5076)1.9612*** (0.5105)1.8623*** (0.5094)1.8833*** (0.5131)
BSIZE−0.1193 (0.1673)−0.1149 (0.1675)−0.1037 (0.1682)−0.1322 (0.1681)
BIND−2.0033*** (0.5859)−2.0083*** (0.5891)−1.9856*** (0.5898)−2.0491*** (0.5911)
CEOD0.2845*** (0.0690)0.2743*** (0.0695)0.2807*** (0.0698)0.2819*** (0.0698)
Constant−4.0255*** (0.6547)−5.3570*** (0.8011)−4.5064*** (0.6586)−4.4309*** (0.6616)
Industry FEYESYESYESYES
Time FEYESYESYESYES
Observations6040604060406040
R-squared0.330.330.330.32

Notes:

Robust standard errors in parentheses; ***p < 0.01; **p < 0.05; *p < 0.1

Source: Authors’ own work

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