RESEARCH NOTE: ERRORS IN THE OCTOBER HOUSEHOLD SURVEY 1994 AVAILABLE FROM THE SOUTH AFRICAN DATA ARCHIVE1

The on‐line electronic documentation supplied with the 1994 October Household Survey by the South African Data Archive (SADA) appears to be incorrect. In particular, the electronic version of the questionnaire does not correspond to the hard copy in the possession of the author. The most serious error is that the race classification in the electronic copy is different from the classification on the hard copy. Researchers relying on the electronic copy will erroneously interchange the categories “Coloured”, “White” and “Black”. This could lead to seriously misleading analyses. The reason for this mistake can probably be attributed to a retyping of the questionnaire using the 1993 OHS as a template.     

THE MEASUREMENT OF EMPLOYMENT STATUS IN SOUTH AFRICA USING COHORT ANALYSIS, 1994‐20041

We analyse trends in employment, unemployment and labour force participation by simple graphical techniques, using all the October Household Surveys and the September Labour Force Surveys. We show that African male employment in 1995 seems high, when compared to all the other surveys. Furthermore much of the increase in African female labour force participation is concentrated in the period 1998 to 2000, which suggests that measurement and sampling changes may be partially responsible for the trend. We track cohorts of individuals over the eleven years for which we have data. We show that young people are leaving school earlier, while being better educated than their elders. They are not, however, being absorbed into employment at a faster rate. This has led to a spike in youth unemployment.     

Public assets and services delivery in South Africa: Is it really a success?

Poverty alleviation remains a pressing concern for South African policy-makers. Implementing effective anti-poverty policies requires a clear understanding of the nature and extent of poverty. The extant literature on South African poverty dynamics shows a decline in the headcount ratio over the first decade of the twenty-first century. However, the prior research largely adopts a narrow money-metric approach, or uses multi-dimensional indices that include welfare indicators based on private assets (e.g. television sets) or those that are provided publicly (e.g. access to water). This paper uses multiple correspondence analysis to measure non-income poverty trends for the period 2005–12. The novelty in this undertaking lies in an attempt to include a measure of the perceived quality of public assets and services to complement the standard indices. This provides some measure of ‘success’ of public service delivery, accounting for both changes in access and quality.     

Does Human Capital Protect Workers against Exogenous Shocks? Evidence from Panel Data on South Africa during the 2008‐2009 Crisis

The financial and economic crisis of 2008 and 2009 took a heavy toll on the South African economy. The economy contracted for the first time since 1998 and entered recession during the fourth quarter of 2008. The gross domestic product contraction was soon transmitted to the labour market. Between the second quarters of 2008 and 2009, employment fell by 3.8%. However, not all individuals were hit with the same intensity. Using panel data from a quarterly labour force survey unique in the African context, we find that human capital (i.e. education as years of schooling and workforce experience) provided a buffer against the shock. After controlling for observable characteristics, education and experience showed the potential to entirely offset the effect of the recession on the likelihood of employment. This has important policy implications, as it strengthens the case for strategic investments in human capital and helps identify the unskilled as having the greatest need for social safety net interventions during a recession.     

IS THERE EVIDENCE OF A WAGE PENALTY TO FEMALE PART‐TIME EMPLOYMENT IN SOUTH AFRICA?

In this paper, we investigate female part‐time employment in South Africa. Using household survey data for South Africa from 1995 to 2004, we show that women are over‐represented in part‐time employment, and that the growth in part‐time work has been an important feature of the feminisation of the labour force. In contrast to many studies of part‐time work in other countries, however, we find evidence of a significant wage premium to female part‐time employment. The premium is also robust to fixed effects estimations using Labour Force Survey panel data from 2001 to 2004, where controlling for unobservable differences increases its size. The premium persists with different hourly thresholds defining part‐time employment and when we account for possible reporting errors in hours worked.     

EXCHANGE RATE PASS‐THROUGH TO IMPORT PRICES IN SOUTH AFRICA: IS THERE ASYMMETRY?1

This paper examines the magnitude and speed of exchange rate pass‐through (ERPT) to import prices in South Africa. It further explores whether the direction and size of changes in the exchange rate have different pass‐through effects on import prices, i.e. whether the exchange rate pass‐through is symmetric or asymmetric. The findings of the study suggest that ERPT in South Africa is incomplete but relatively high. Furthermore, ERPT is found to be higher in periods of rand depreciation than appreciation, which supports the binding quantity constraint theory. There is also evidence to suggest that pass‐through is slightly higher in periods of small changes than large changes in the exchange rate in harmony with the menu cost theory when the invoices are denominated in the exporters' currency.     

FORECASTING CURRENCY CRISES: WHICH METHODS SIGNALED THE SOUTH AFRICAN CRISIS OF JUNE 2006?

In this paper we test the ability of three of the most popular methods to forecast South African currency crises with a special emphasis on their out‐of‐sample performance. We choose the latest crisis of June 2006 to conduct an out‐of‐sample experiment. The results show that the signals approach was not able to forecast the out‐of‐sample crisis correctly; the probit approach was able to predict the crisis but only with models, that were based on raw data. The Markov‐regime‐switching approach predicts the out‐of‐sample crisis well. However, the results are not straightforward. In‐sample, the probit models performed remarkably well and were also able to detect, at least to some extent, out‐of‐sample currency crises before their occurrence. The recommendation is to not restrict the forecasting to only one approach.