Education, Employment and Earnings of Secondary School-Leavers ...
Education, Employment and Earnings of Secondary School-Leavers ...
Education, Employment and Earnings of Secondary School-Leavers ...
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4. MethodologyThe primary objectives <strong>of</strong> our research are served by the estimation <strong>of</strong> earningsequations for the sample <strong>of</strong> traced Tanzanians. In order to elicit responses that areless prone to measurement error interviewees were asked where their gross monthlyearnings were located within a number <strong>of</strong> mutually exclusive categories. Theintervals used for the sampled employees in our case commence at 0 to 50,000shillings <strong>and</strong> rise by amounts <strong>of</strong> 50,000 for the next five intervals. 13 The penultimateinterval is 300,000 to 400,000, <strong>and</strong> the final interval is open-ended <strong>and</strong> captures thoseindividuals with earnings greater than 400,000 Tanzanian shillings. There are thuseight coded intervals for the case <strong>of</strong> employees. A corresponding exercise wasconducted for the self-employed but the intervals used are different. They are ten innumber <strong>and</strong>, in contrast to the wage employees, relate to a bi-annual earningsmeasure. 14 However, the econometric methodology outlined is identical for bothcases <strong>and</strong> for convenience the exposition is cast in terms <strong>of</strong> the earnings categories forthe employees.The data on the dependent variables are ordinal in nature but interval coded. Anappropriate econometric procedure is required to deal with the nature <strong>of</strong> these codedresponses. There are two possible procedures that could be exploited here. Thecruder <strong>of</strong> the two involves setting earnings to the mid-point <strong>of</strong> the relevant intervals<strong>and</strong> applying the ordinary least squares (OLS) procedure. A more desirable approach,however, is to follow Stewart (1983) <strong>and</strong> use an appropriate likelihood function forthe application at h<strong>and</strong>. The likelihood function is a modification <strong>of</strong> that used in theestimation <strong>of</strong> the st<strong>and</strong>ard ordered probit model <strong>and</strong> replaces the unknown thresholdvalues by the set <strong>of</strong> known thresholds that delineate the intervals. The responses onthe dependent variable are grouped. In the early literature this type <strong>of</strong> model wasreferred to as a grouped dependent variable model but more recently the term intervalregression model has been used to describe it.13 At the time <strong>of</strong> the survey there were 876 Shillings to the US dollar.14 The precise intervals for the self-employed are described in the notes to table 5.11