Table 9 Different characteristics in...

Table 9

Different characteristics in families and regions: education level, left-behind and digitalization

Variables	Female education level			Left-behind family	Digitalization
Variables	(1) Low	(2) Medan	(3) High	(4)	(5)
micro	−0.0116	−0.0277*	0.0018	−0.0314***	0.1926
micro	(−0.5615)	(−1.8402)	(0.0573)	(−2.7109)	(1.2556)
microleft*	_	_	_	0.0933**	_
microleft*	_	_	_	(2.4552)	_
microdig*	_	_	_	_	−0.0054*
microdig*	_	_	_	_	(−1.6798)
Controls	Yes	Yes	Yes	Yes	Yes
Fixed year effect	Yes	Yes	Yes	Yes	Yes
Fixed village effect	Yes	Yes	Yes	Yes	Yes
Constant	0.3671***	0.2125***	0.3116***	0.2784***	0.2768***
Constant	(6.5228)	(4.5946)	(2.8682)	(8.0374)	(5.1871)
Observations	576	456	125	1,222	1,222
Within R-squared	0.2480	0.1277	0.1081	0.2579	0.0840
p-value	0.088 (low- versus medium-)	0.008 (medium- versus low-)	(high- versus low-)	_	_

Variables	Female education level			Left-behind family	Digitalization
Variables	(1) Low	(2) Medan	(3) High	(4)	(5)
micro	−0.0116	−0.0277*	0.0018	−0.0314***	0.1926
micro	(−0.5615)	(−1.8402)	(0.0573)	(−2.7109)	(1.2556)
micro*left	_	_	_	0.0933**	_
micro*left	_	_	_	(2.4552)	_
micro*dig	_	_	_	_	−0.0054*
micro*dig	_	_	_	_	(−1.6798)
Controls	Yes	Yes	Yes	Yes	Yes
Fixed year effect	Yes	Yes	Yes	Yes	Yes
Fixed village effect	Yes	Yes	Yes	Yes	Yes
Constant	0.3671***	0.2125***	0.3116***	0.2784***	0.2768***
Constant	(6.5228)	(4.5946)	(2.8682)	(8.0374)	(5.1871)
Observations	576	456	125	1,222	1,222
Within R-squared	0.2480	0.1277	0.1081	0.2579	0.0840
p-value	0.088 (low- versus medium-)	0.008 (medium- versus low-)	(high- versus low-)	_	_

Note(s): To ensure an unbiased estimation of the model, stata automatically excluded a small number of singleton observations

Source(s): Authors' own work

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