Unemployment and participation in the labor force in Southern Africa
Interim Report
Edited by ITO Seiro
Published in March 2015
All (566KB)
Chapter 1
Reading data from QLFS 2013 and estimate rates under various labour market status / Seiro Ito
In this chapter, we show the nationally representative unemployment rate trends across gender and age groups. We use survey estimators with survey package in R. We will employ knitr to make the analysis reproducible. With knitr run on R, one can embed the computational commands and their outputs easily in a mark up language such as LATEX, which can be then converted into a widely used format such as Adobe’s pdf. In doing so, I will show the exact algorithm to classify the labour market status in 2013 QLFS sample. I will also add a programming memo in the survey and data.table packages.
Chapter 2
Survey sampling and outcomes / Seiro Ito
In this chapter, we describe briefly about the sample size calculations and preliminary results of labour market status in the surveyed households. We will employ knitr to make the analysis reproducible. In the first section, we describe the sampling frame and sample size calculations. In the second section, we summarise the labour market status of the respondents.
Chapter 3
Heterogenous match efficiency / Rulof Burger, Seiro Ito
In this paper, we showed a model with one-sided endogenous match efficiency. It is assumed that schooling can enhance match efficiency, and people will choose the schooling level optimally to balance its costs and benefits of enhanced match efficiency. Assuming a financial market imperfection which limits individuals to borrow, we showed that, in equilibrium, when educational achievements can be characterised by dicohotomy (secondary vs. tertiary), tertiary education gives higher wages even it only has pure match efficiency (signalling) value with no human capital value. We also showed that relative match efficiency vis-à-vis its mean matters in wage levels.