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. 2018 May 24;15(6):1069. doi: 10.3390/ijerph15061069

Table 2.

Descriptive statistics of control variables used in the multivariate analysis.

Total CLP LBC LBCF
Mean Mean Mean H0:(3) = (2) Mean H0:(5) = (2)
(s.e.) (s.e.) (s.e.) Difference (s.e.) Difference
[1] [2] [3] [4] a [5] [6] b
[1] Male in 2014, 1 = yes 0 = no 0.47 0.47 0.51 0.04 0.38 −0.09
(0.50) (0.50) (0.50) (0.05) (0.49) (0.08)
[2] Age in 2014 10.50 14.49 14.49 0.00 14.52 0.03
(0.50) (0.51) (0.52) (0.00) (0.50) (0.01)
[3] Minority in 2014, 1 = yes 0 = no 0.12 0.99 1.00 0.01 1.00 0.01
(0.32) (0.10) (0.00) (0.29) (0.00) (0.08)
[4] Board in 2014, 1 = yes 0 = no 0.13 0.38 0.85 0.47 *** 0.38 0.00
(0.33) (0.49) (0.35) (0.05) (0.49) (0.08)
[5] Family net income per person in 2014 4396.92 7911.53 8213.26 301.73 *** 9767.28 1856.00
(4647.06) (9111.72) (5991.50) (884.71) (7707.61) (1292.00)
[6] Self-report health in 2014 1.30 2.04 2.23 0.19 ** 2.08 0.04
(0.59) (0.95) (0.89) (0.03) (0.90) (0.14)

Source: CFPS (2014). Note: Standard errors in parentheses, *** p < 0.01, ** p < 0.05; a The difference between the column (2) and column (3) is calculated by regressions of each of row variables on the dummy variable that represent whether the children is left behind in 2014; b The difference between the column (2) and column (5) is calculated by regressions of each of row variables on the dummy variable that represent whether only children’s father migrates in 2014.