Reassessing the Gender Wage Gap: Does Labour Force Attachment Really Matter? Evidence from Matched Labour Force and Biographical Surveys in Madagascar

Assessing gender inequalities has become one of the key issues of the new international poverty reduction strategies implemented in most LDCs in the past few years. It has been argued that differences in labour force attachment across gender are important to explain the extent of the gender earnings gap. However, measures of women's professional experience are particularly prone to errors given discontinuity in labour market participation. For instance, the classical Mincerian approach, where potential experience is used as a proxy for actual experience due to lack of appropriate data, has its limits in estimating the true returns to human capital. Such biases in the estimates cannot be ignored since the returns to human capital are used in the standard decomposition techniques to measure the extent of gender-based wage discrimination. By matching two original surveys conducted in Madagascar in 1998 - a labour force survey and a biographical survey - we built a unique dataset that enabled us to combine the original information gathered from each of them, particularly the earnings from current employment and the entire professional trajectories. Our results lead to an upward reappraisal of returns to experience, as potential experience always exceeds actual experience, for both males and females. In addition, controlling for further qualitative aspects of labour force attachment, we obtain a significant increase in the portion of the gender gap explained by observable characteristics, while the differences in average actual experience across sexes lead to markedly different estimates of the fraction of the gender earnings gap explained by experience.gender wage gap, returns to human capital, labour force participation, biographical data, Madagascar.

Migration, self selection and returns to education in the WAEMU.

Using data from labour force surveys conducted simultaneously in the capital cities of seven West African Economic and Monetary Union countries, we estimate a model of residential location choice in which expected earnings play a role. The model is first estimated in a reduced form. Estimates are then used to correct for the endogeneity of locational choice in the earnings equations estimated for each country. We find that migration behaviour has a significant effect in shaping earnings differentials between education levels and between the seven capital cities. Corrected predicted earnings in each country are then used as an independent variable in a structural multinomial logit of residential choice. Results show that individuals tend to reside in countries in which their expected earnings are higher than elsewhere.Migration; Self-selection; West Africa;

Detecting single-trial EEG evoked potential using a wavelet domain linear mixed model: application to error potentials classification

Objective. The main goal of this work is to develop a model for multi-sensor signals such as MEG or EEG signals, that accounts for the inter-trial variability, suitable for corresponding binary classification problems. An important constraint is that the model be simple enough to handle small size and unbalanced datasets, as often encountered in BCI type experiments. Approach. The method involves linear mixed effects statistical model, wavelet transform and spatial filtering, and aims at the characterization of localized discriminant features in multi-sensor signals. After discrete wavelet transform and spatial filtering, a projection onto the relevant wavelet and spatial channels subspaces is used for dimension reduction. The projected signals are then decomposed as the sum of a signal of interest (i.e. discriminant) and background noise, using a very simple Gaussian linear mixed model. Main results. Thanks to the simplicity of the model, the corresponding parameter estimation problem is simplified. Robust estimates of class-covariance matrices are obtained from small sample sizes and an effective Bayes plug-in classifier is derived. The approach is applied to the detection of error potentials in multichannel EEG data, in a very unbalanced situation (detection of rare events). Classification results prove the relevance of the proposed approach in such a context. Significance. The combination of linear mixed model, wavelet transform and spatial filtering for EEG classification is, to the best of our knowledge, an original approach, which is proven to be effective. This paper improves on earlier results on similar problems, and the three main ingredients all play an important role

Export Processing Zone Expansion in Madagascar: What are the Labor Market and Gender Impacts?.

This paper analyses part of the controversy over export processing zones (EPZs)—the labour market and gender impacts—using unique time-series labour force survey data from an African setting: urban Madagascar, in which the EPZ (or Zone Franche) grew very rapidly during the 1990s. Employment in the Zone Franche exhibits some basic patterns seen elsewhere in export processing industries of the developing world, such as the predominance of young, semi-skilled female workers. Taking advantage of microdata availability, we estimate earnings regressions to assess sector and gender wage premia. Zone Franche employment is found to represent a significant step-up in pay for women who would otherwise be found in poorly remunerated informal sector work. As it provides relatively high wage opportunities for those with relatively low levels of schooling, export processing development may also eventually have significant impacts on poverty. Further, by disproportionately drawing women from the low-wage informal sector (where the gender pay gap is very large) to the relatively well-paid export processing jobs (where pay is not only higher but also similar for men and women with similar qualifications), the EPZ has the potential to contribute to improved overall gender equity in earnings in the urban economy. Along many non-wage dimensions, jobs in the EPZ are comparable to or even superior to other parts of the formal sector. However, the sector is also marked by very long working hours and high turnover, which may work to prevent it from being a source of long-term employment and economic advancement for women.genre; discrimination salariale; Zone Franche; Gender; Wage gap; Export Processing Zone; Madagascar;

Corruption and trust in political institutions in sub-Saharan Africa.

Cet article explore les interactions entre la confiance institutionnelle et la corruption à partir d’un riche corpus d’enquêtes-ménages comparables : les enquêtes Afrobaromètre réalisées dans 18 pays d’Afrique sub-saharienne. Plus précisément, il teste les théories de l’ « huile dans les rouages » selon lesquelles la corruption peut renforcer la confiance des citoyens en leur permettant d’accéder à des services publics autrement inaccessibles. Nos résultats infirment clairement ces théories. Nous montrons que la corruption réduit clairement la confiance et ce quelque soit la qualité des services gouvernementaux. Ils suggèrent toutefois que l’expérience et la perception de la corruption ont des effets distincts sur la confiance institutionnelle.This paper analyzes the impact of corruption on the extent of trust in political institutions using a rich collection of comparable data provided by the Afrobarometer surveys conducted in 18 sub-Saharan African countries. More specifically, we set out to test the “efficient grease” hypothesis that corruption can strengthen citizens’ trust since bribe paying and clientelism open the door to otherwise scarce and inaccessible services and subsidies, and that this increases institutional trust. Our findings reject this theoretical argument. We show that corruption never produces trust-enhancing effects regardless of the evaluation of public service quality. The results reveal how perceived and experienced corruption impact negatively, but differently, on citizens’ trust in political institutions. The adverse effect of perceived corruption decreases with the fall in public service quality, whereas the negative effect of experienced corruption decreases as public service quality increases.Africa; Trust; Corruption;