Labor Market Distortions in Côte d'Ivoire: Analyses of Employer‐Employee Data from the Manufacturing Sector*

Abstract: This paper investigates the extent and nature of distortions in the labor market in the Republic of Côte d'Ivoire by using quantile regression analysis on employer‐employee data from the manufacturing sector. We found that the labor markets in Côte d'Ivoire do not seem to be much distorted. Unions may influence employment through tenure but do not seem to influence wages directly except for vulnerable minorities that seem protected by unions. Establishment‐size wage effects are pronounced and highest for white‐collar workers. This may be explained by the efficiency wage theory, so that, even in the absence of unions, segmentation and inefficiencies will still be present as long as firms seek to retain their employees by paying wages above the market clearing level. The inefficiency arising from establishment‐size wage effects can be mitigated by education. Furthermore, the premium to education is found highly significantly positive only for higher education, and not for basic education, indicating that educational policies should also focus on higher education.     

Asymmetries in the Union Wage Premium in Ghana

There is little evidence on the size of the union wage premiumin developing economies. The article uses a matched employer-employeedata set for Ghana and adopts a quantile regression approachthat allows the effects of unionization to vary across the conditionalwage distribution. It is shown that if there are intrafirm differencesin unionization, there does appear to be a premium among poorerpaid workers in the formal sector. Although this cannot be givena causal interpretation, it suggests important issues abouthow unions may affect one part of the labor market.     

Shared Sectoral Growth Versus the Dual Economy Model: Evidence from Côte d'Ivoire,Ghana, and Zimbabwe

Abstract: Though recently challenged, the dual economy view has affected development economics and development policy, either explicitly or implicitly, for more than half a century. According to this view, agriculture merely serves to build the industrial sector — in particular, agriculture has no role as an engine of growth in the long term. Examining agriculture, industry and service sector growth in Côte d'Ivoire, Ghana, and Zimbabwe over more than three decades, we find little empirical support for this view. On the contrary, our analyses find a large degree of interdependence in long‐run sectoral growth, implying that the sectors ‘grow together’ or, similarly, that there are externalities or spillovers between sectors. Policy implications are also discussed; these include directing more attention towards the interdependencies in sectoral growth broadly defined. In particular, our findings have implications for the design of education and health programs, as well. This improved understanding of inter‐sectoral dynamics at all levels may facilitate policy implementation aimed at increasing economic growth — and thereby ultimately improving peoples' livelihoods — in Africa and elsewhere.     

Environmental Satellite Models for a Macroeconomic Model

To support national environmental policy, it is desirable to forecast and analyse environmental indicators consistently with economic variables. However, environmental indicators are physical measures linked to physical activities that are not specified in economic models. One way to deal with this is to develop environmental satellite models linked to economic models. The system of models presented gives a frame of reference where emissions of greenhouse gases, acid gases, and leaching of nutrients to the aquatic environment are analysed in line with – and consistently with – macroeconomic variables. This paper gives an overview of the data and the satellite models. Finally, the results of applying the model system to calculate the impacts on emissions and the economy are reviewed in a few illustrative examples. The models have been developed for Denmark; however, most of the environmental data used are from the CORINAIR system implemented in numerous countries.     

Taking care of high-need patients in capitation-based payment schemes – an experimental investigation into the importance of market conditions

Many health-care systems use provider payment as an instrument to ensure an efficient and equitable delivery of care. Capitation-based payment schemes are popular because they contain costs. However, they are known to lead to underprovision of care, especially to high-need patients. Using a laboratory experiment, we test whether the availability of resources affects providers’ response to a capitation-based scheme. We find that the relative underprovision of care to high-need patients exists both when providers are resource abundant and constrained. Next, we introduce two different versions of the scheme and test whether they incentivize providers to take better care of high-need patients. One scheme ring-fences part of the capitation payment to a fixed physician salary, whilst the other scheme differentiates payments based on patients’ expected need of care. We find that high-need patients gain the most from a fixed provider salary under resource abundance, but find no difference in gains between patient types under resource constraint. Our results also show that differentiation of capitation makes providers take relatively better care of patients linked to an above average payment compared to a below average payment, regardless of resource constraints. Our findings suggest that both the design of the scheme and the market condition affect providers’ patient prioritization under capitation.     

Measuring Inefficiency Via Potential Improvements

In a recent paper Bogetoft and Hougaard (1999) suggest the use of a new potential improvements approach to efficiency evaluation which has the advantage of separating the issue of benchmark selection from the issue of efficiency measurement. In the present paper the potential improvements inefficiency index is reexamined and a DEA-like approach for its determination is suggested. The approach is called Multi-directional Efficiency Analysis (MEA). An empirical example on Danish dairy farms is used for illustrative purposes and comparisons with various versions of DEA.     

Foreign ownership and long‐term survival

We study the relative survival of foreign‐ and domestically owned companies in Denmark over more than a century (1895–2005). Contrary to previous studies that have emphasized the liability of foreignness, we find evidence of a significant survival premium for foreign‐owned companies; however, the premium declines over time and disappears entirely in the last decade leading up to 2005. Further evidence indicates that the foreign survival premium is negatively influenced by new foreign entry, and that the long‐run decline is caused by increasing competition between foreign subsidiaries. Copyright © 2008 John Wiley & Sons, Ltd.     

Choke Price Bias in Choice Experiments

This paper reports on the results from a split sample choice experiment, where the effect of changing the maximum level of the cost attribute is investigated. The hypothesis was that changing the maximum price level would either give rise to an income effect or have no effect on consumers’ preferences. This was tested in the framework of a valuation study of different quality characteristics of minced pork. The data was analysed using a mixed logit error component model, which accounts for correlation in the unobserved part of the utility. Results suggest that the size of the maximum price level does matter, and that changing the maximum price level has a statistically significant effect on both the general preferences structure and the WTP estimates. Hence, researchers should be very careful when defining not only the range of the price attribute but also the maximum level of the price attribute.