Table 11

Effect of GPR_IND, GPR_DECEMBER, ΔTWO_YEAR_LN_GPR, and ΔLN_GPR on investment inefficiency, overinvestment, and underinvestment

GPR = GPR_IndiaGPR_DECEMBERΔTWO_YEAR_LN_GPRΔLN_GPR
Investment inefficiencyOverinvestmentUnderinvestmentInvestment inefficiencyOverinvestmentUnderinvestmentInvestment inefficiencyOverinvestmentUnderinvestmentInvestment inefficiencyOverinvestmentUnderinvestment
VariablesModel 1Model 2Model 3Model 4Model 5Model 6Model 7Model 8Model 9Model 10Model 11Model 12
GPR0.0226***0.0396***0.0498***0.0119***0.0652***0.0036***0.0839***0.4252***0.0090***0.1156***0.2590***0.0146***
(0.002)(0.007)(0.001)(0.003)(0.013)(0.001)(0.012)(0.031)(0.002)(0.025)(0.050)(0.002)
TANG0.0516***0.0819***−0.0185***0.0531***0.0805***−0.0185***0.0050**0.0749***−0.0186***0.0022*0.0805***−0.0185***
(0.004)(0.009)(0.002)(0.004)(0.012)(0.003)(0.002)(0.012)(0.002)(0.001)(0.012)(0.002)
SIZE−0.0065***−0.0176***−0.0021***−0.0068***−0.0160***−0.0021***−0.0046***−0.0148***−0.0018***−0.0050***−0.0160***−0.0021***
(0.001)(0.002)(0.000)(0.001)(0.002)(0.000)(0.001)(0.002)(0.000)(0.001)(0.002)(0.000)
ROA0.0890***0.1088**−0.0255***0.0946***0.0898−0.0255***0.0867***0.0744−0.0299***0.0974***0.0898−0.0255***
(0.016)(0.044)(0.004)(0.016)(0.056)(0.004)(0.030)(0.062)(0.004)(0.030)(0.056)(0.004)
LEVE0.0357***0.0559***0.0130***0.0360***0.0513***0.0130***0.0436***0.0510***0.0123***0.0471***0.0513***0.0130***
(0.003)(0.008)(0.002)(0.003)(0.010)(0.001)(0.007)(0.010)(0.001)(0.007)(0.010)(0.001)
CASH0.0354***0.0788***−0.0036**0.0359***0.0751***−0.00300.0329***0.0898***−0.00230.0294***0.0751***−0.0030
(0.007)(0.018)(0.001)(0.007)(0.016)(0.002)(0.010)(0.020)(0.002)(0.009)(0.016)(0.002)
SLACK0.0016***0.0069***0.0013***0.0016***0.0072***0.0013***0.00030.0055**0.0013***0.00040.0072***0.0013***
(0.000)(0.002)(0.000)(0.000)(0.002)(0.000)(0.000)(0.002)(0.000)(0.000)(0.002)(0.000)
Ln_OC0.0001−0.00490.0008**0.0001−0.0052*0.0008*−0.0032**−0.0061*0.0009**−0.0033**−0.0052*0.0008**
(0.001)(0.003)(0.000)(0.001)(0.003)(0.000)(0.001)(0.003)(0.000)(0.001)(0.003)(0.000)
ROE0.00050.0017−0.0029***0.0000−0.0013−0.0029***−0.0019−0.0067−0.0024***−0.0017−0.0013−0.0029***
(0.002)(0.010)(0.001)(0.002)(0.011)(0.001)(0.002)(0.012)(0.001)(0.002)(0.011)(0.001)
CFO−0.0004−0.01480.0003*−0.0004−0.01450.0003−0.0173**−0.01590.0004*−0.0075*−0.01450.0003
(0.000)(0.012)(0.000)(0.000)(0.010)(0.000)(0.007)(0.012)(0.000)(0.004)(0.010)(0.000)
Ln_Age−0.0061***−0.0126***−0.0010***−0.0063***−0.0121***−0.0010***−0.0052***−0.0119***−0.0008***−0.0055***−0.0121***−0.0010***
(0.001)(0.002)(0.000)(0.001)(0.002)(0.000)(0.001)(0.002)(0.000)(0.001)(0.002)(0.000)
GDP_GRO0.0009***0.0013***0.0139***0.0005***−0.0020***0.0020***−0.0143***0.0046***0.0069***−0.0123***−0.0040***0.0075***
(0.000)(0.000)(0.000)(0.000)(0.000)(0.000)(0.001)(0.001)(0.000)(0.001)(0.001)(0.000)
TOBINSQ0.00100.0080−0.0017***0.00080.0088−0.0017***0.00090.0083−0.0016***0.00080.0088−0.0017***
(0.002)(0.006)(0.000)(0.002)(0.006)(0.000)(0.002)(0.005)(0.000)(0.002)(0.006)(0.000)
Intercept0.1339***0.2979***0.0312***0.0462***−0.05450.1961***0.2404***0.1497***0.0174***0.2432***0.2468***0.0131***
(0.009)(0.029)(0.004)(0.015)(0.063)(0.004)(0.008)(0.026)(0.002)(0.017)(0.023)(0.004)
Industry FEYESYESYESYESYESYESYESYESYESYESYESYES
Year FEYESYESYESYESYESYESYESYESYESYESYESYES
Observations40,89512,29728,59540,88912,29428,59536,47010,88225,61540,88612,29428,592
Adj. R20.07400.11150.12220.07170.12160.12220.06670.11250.11990.07210.12160.1222

Note(s): All models employing pooled panel OLS estimation. Robust standard errors in brackets are clustered by firm and year to address serial correlation and heteroskedasticity. The measurement of the variables is in  Appendix Table A1. *, **, and *** indicate significance levels of 10%, 5%, and 1%, respectively

Source(s): Authors own work

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