Table 4 Maximum likelihood estimates of Tobit model

GEND

− 0.0621088

0.0531717

− 1.17

AGE

0.0014681

0.0027197

0.54

LITERAT

0.1679711

0.1009549

1.66*

TRAIN

0.1671775

0.0628579

2.66***

FAMSZ

− 0.0102478

0.0118136

− 0.87

LANDSZ

− 0.1819922

0.136215

− 1.34

TLU

0.001158

0.0136056

0.09

HYBRIDC

0.0870001

0.0262046

3.32***

EXTEN

0.1530046

0.0585533

2.61***

YIELD

0.0330968

0.0161248

2.05**

INCOMHH

0.0000348

0.0000138

2.51**

DFTC

− 0.0084901

0.0037525

− 2.26**

DSAI

− 0.0053998

0.0036274

− 1.49

FEDSUPP

0.1580401

0.0508528

3.11***

MOBILE

0.1212236

0.0508699

2.38**

Constant

− 0.3962038

0.3336673

− 1.19

/sigma

0.1871436

0.0205291

Number of observations = 204

LR chi²(15) = 197.73

Prob > chi² = 0.0000

PseudoR² = 0.9068