Hi,
I estimate the following system GMM model based on a panel dataset of 1696 firms across 16 years.
Code:
Group variable: CompanyID Number of obs = 6991
Time variable: Year Number of groups = 671
Moment conditions: linear = 53 Obs per group: min = 1
nonlinear = 0 avg = 10.41878
total = 53 max = 15
(Std. Err. adjusted for 671 clusters in CompanyID)
-----------------------------------------------------------------------------------------
| WC-Robust
CashHoldings1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------------------------+----------------------------------------------------------------
CashHoldings1 |
L1. | .5405655 .0639851 8.45 0.000 .415157 .665974
|
Size1 | -.0015902 .0008944 -1.78 0.075 -.0033433 .0001628
Leverage1 | .0215192 .0201021 1.07 0.284 -.0178801 .0609186
Liquidity1 | -.0271283 .0128011 -2.12 0.034 -.0522179 -.0020386
Profitability4 | .1141001 .0356895 3.20 0.001 .04415 .1840502
GrowthPotential2TobinsQ | -.008502 .0056203 -1.51 0.130 -.0195176 .0025135
OperatingCashflow | .0686659 .0150234 4.57 0.000 .0392205 .0981113
Dividend2 | -.0413027 .0341163 -1.21 0.226 -.1081693 .0255639
CapitalExpenditure1 | -.1140552 .0383933 -2.97 0.003 -.1893047 -.0388057
CashFlowVol15years | .1400365 .0454519 3.08 0.002 .0509524 .2291206
WPromoterSharesin1 | -.0117863 .0049264 -2.39 0.017 -.0214418 -.0021307Code:
nlcom (_b[ WPromoterSharesin1 ])/(1-_b[ L.CashHoldings1 ])
Any help in this regard is highly appreciated.
0 Response to Interpretation and Relevance of Long Run Coefficients in System GMM Regressions
Post a Comment