** Playing around with our baseline model F&R 2006, adding and removing variables**
lm1=plm(MDR_lead~MDR+EBIT_TA+MB+DEP_TA+FA_TA+lnTAcpi+IndMed,index="pid",model="within",data=regdtc)
lm2=plm(MDR_lead~MDR+IndMed,index="pid",model="within",data=regdtc)
lm3=plm(MDR_lead~MDR+EBIT_TA+MB+DEP_TA+FA_TA+lnTAcpi+IndMed+Delta_EBIT_TA+Delta_lnTAcpi+Delta_lnSALEScpi,index="pid",model="within",data=regdtc)
lm4=plm(MDR_lead~MDR+EBIT_TA+lnTAcpi+IndMed+Delta_EBIT_TA+Delta_lnTAcpi+Delta_lnSALEScpi,index="pid",model="within",data=regdtc)
stargazer(lm1,lm2,lm3,lm4,type="text",column.labels = c("F&R2006", "AR1", "F&R2006+Growth","AR1+Growth"), font.size = "small",
align = TRUE,
no.space = TRUE,omit.stat=c("f", "ser"))
##
## ==============================================================
## Dependent variable:
## ---------------------------------------------
## MDR_lead
## F&R2006 AR1 F&R2006+Growth AR1+Growth
## (1) (2) (3) (4)
## --------------------------------------------------------------
## MDR 0.581*** 0.604*** 0.597*** 0.608***
## (0.004) (0.004) (0.004) (0.004)
## EBIT_TA -0.031*** -0.094*** -0.091***
## (0.003) (0.004) (0.003)
## MB -0.001*** -0.002***
## (0.0002) (0.0002)
## DEP_TA -0.017 -0.013
## (0.022) (0.023)
## FA_TA 0.050*** 0.053***
## (0.005) (0.005)
## lnTAcpi 0.018*** 0.023*** 0.027***
## (0.001) (0.001) (0.001)
## IndMed -0.110*** -0.087*** -0.059*** -0.048***
## (0.011) (0.012) (0.012) (0.012)
## Delta_EBIT_TA -0.098*** -0.097***
## (0.003) (0.003)
## Delta_lnTAcpi 0.049*** 0.043***
## (0.002) (0.002)
## Delta_lnSALEScpi -0.002 -0.001
## (0.001) (0.001)
## --------------------------------------------------------------
## Observations 64,024 64,024 57,529 57,529
## R2 0.351 0.339 0.368 0.365
## Adjusted R2 0.278 0.265 0.296 0.293
## ==============================================================
## Note: *p<0.1; **p<0.05; ***p<0.01