Research Article

An Empirical Analysis of Unpaid Leave in Taiwan

Table 1

Descriptive statistics of variables.

VariablesDescriptionMeanStandard error

Furlough1 = no-pay leave cases by interviewers or their family,0.304 (0.460)
0 = otherwise
Age11 = aged from 18 to 29,0.129 (0.336)
0 = otherwise
Age21 = aged from 30 to 39,0.284 (0.451)
0 = otherwise
Age31 = aged from 40 to 49,0.305 (0.461)
0 = otherwise
Age41 = aged from 50 to 59,0.199 (0.399)
0 = otherwise
Age51 = aged 60 and over,0.082 (0.274)
0 = otherwise
Gender1 = men, 0 = women0.567 (0.495)
Race11 = Fujianese, 0 = otherwise0.749 (0.433)
Race21 = Hakka, 0 = otherwise0.111 (0.314)
Race31 = Mainlander,0.128 (0.335)
0 = otherwise
Race41 = aboriginal,0.011 (0.102)
0 = otherwise
Edu11 = informal and 1–6 years of schooling, 0 = otherwise0.078 (0.269)
Edu21 = 7–12 years of schooling,0.409 (0.492)
0 = otherwise
Edu31 = 13–16 years of schooling,0.436 (0.496)
0 = otherwise
Edu41 = 17 years and over of schooling, 0.076 (0.265)
0 = otherwise
Marital11 = single, 0 = otherwise0.223 (0.416)
Marital21 = married, 0 = otherwise0.696 (0.460)
Marital31 = divorced and separated,0.058 (0.235)
0 = otherwise
Marital41 = spouse deceased,0.022 (0.147)
0 = otherwise
Position11 = low level in social class,0.139 (0.346)
0 = otherwise
Position21 = medium less level,0.228 (0.419)
0 = otherwise
Position31 = medium level,0.391 (0.488)
0 = otherwise
Position41 = medium more level,0.110 (0.313)
0 = otherwise
Position51 = worker level,0.129 (0.336)
0 = otherwise
Position61 = high level,0.002 (0.048)
0 = otherwise
Happy1 = have a good feeling,0.668 (0.471)
0 = otherwise
Health1 = poor health,0.063 (0.243)
0 = otherwise
Residence11 = live in north areas,0.459 (0.498)
0 = otherwise
Residence21 = live in centre areas,0.215 (0.411)
0 = otherwise
Residence31 = live in south areas,0.279 (0.449)
0 = otherwise
Residence41 = live in east areas,0.045 (0.208)
0 = otherwise
Earnings10.472 (0.446)
Income11.168 (0.359)

Notes.
(1) According to the survey of First Social Image Survey in 2009, total sample has 1256 observations, including 801 people working, 119 unemployed, 26 students, 188 housewives, 119 retired, and 3 others. Therefore, the effective sample of labour force only has 855 observations from people working and unemployed, who have completely answered all the questions.
(2) The variables of Earnings and Income are predicted by the relative variables and measured in log form.