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Table 16 Correlates of changes in the number of employment benefits after job transition

From: Transitions between informal and formal employment: results from a worker survey in Bangladesh

  All job transitions Only transitions from government, private and casual employment
Age: 26–35 − 0.321 (0.195) − 0.269 (0.198)
Age: 36–45 − 0.252 (0.257) − 0.365 (0.269)
Age: 46–55 − 0.0511 (0.362) 0.0532 (0.376)
Age: 56+ −1.003* (0.532) −1.039* (0.585)
Education: Class 6–9 − 0.358 (0.223) − 0.431* (0.226)
Education: Class 10 and SSC 0.0465 (0.253) − 0.298 (0.275)
Education: High school certificate or diploma 0.157 (0.325) − 0.301 (0.337)
Education: Bachelors or higher 0.145 (0.273) − 0.472 (0.289)
Vocational training w/o certification − 0.336 (0.439) 0.0465 (0.437)
Vocational training w/ certification − 0.123 (0.312) − 0.0005 (0.305)
Male − 0.132 (0.274) − 0.177 (0.265)
Log (monthly wage) − 0.175** (0.0881) − 0.299*** (0.110)
Tenure − 0.0185 (0.0157) − 0.0325** (0.0164)
Found preferred job 1.109*** (0.225) 2.021*** (0.252)
Preferred self-employment − 3.692*** (0.260) − 2.712*** (0.272)
Other reason for separation − 0.549** (0.233) − 0.171 (0.262)
Observations 788 638
  1. Note: Results from a linear regression model. The dependent variable is the change in the number of benefits given an employment transition. Casual worker includes day laborers, seasonal workers, domestic workers, and apprentices, interns or trainees. The omitted categories are age 25 or less, primary education or less (class 5 or less), female, no vocational training, and involuntary separation. Other controls included in the regression analysis are the industry and size of the previous employer. Sampling weights are applied. Standard errors in parentheses. ***, **, and 8 denote that the p value is less than  0.01,  0.05, or 0.1, respectively