Enterprise‐level training in developing countries: do international standards matter?*

Several studies have examined the determinants of training in developing countries but few have paid attention to the potential importance of international standards such as ISO 9000 or ISO 14000 on the firm's training decision. This article examines training determinants using recent employer surveys for five developing countries: Ethiopia, Honduras, Indonesia, Morocco and Nicaragua. It finds that ISO certification status is an important determinant of training, even after controlling for other characteristics such as workers’ formal schooling, firm size, industry and foreign ownership. This points toward the importance of international standards, including product quality and production standards, for firm training. The article also discusses policy implications related to the findings and provides directions for further research.     

Selection and Reporting Bias in Household Surveys of Child Labor: Evidence from Tanzania

Abstract: Studies of child labor in developing countries have largely relied on data collected through national household surveys. But government‐sponsored household surveys are arguably prone to both sample selection bias and reporting bias. In this paper, we compare the demographic and labor market characteristics of working street children obtained from the 2000 Tanzanian Integrated Labor Force Survey, a government‐sponsored household survey, with the results obtained in a 2004 survey of working street children in the city of Mwanza in northern Tanzania. Our comparisons help illumine the potential biases introduced when child labor studies rely on household samples; specifically, we show that children in the non‐household based survey work longer hours, have lower educational attainment and suffer worse health outcomes than their counterparts in the government‐sponsored household survey. This suggests that studies based on national household surveys may significantly underestimate both the extent and the consequences of child labor.     

The Optimal Degree of Exchange Rate Flexibility: a Target Zone Approach*

This paper presents a benchmark model that rationalizes the choice of the degree of exchange rate flexibility. We show that the monetary authority may gain efficiency by reducing volatility of both the exchange rate and the interest rate at the same time. Furthermore, the model is consistent with some known stylized facts in the empirical literature on target zones that previous models were not able to generate jointly—namely, the positive relation between the exchange rate and the interest rate differential, the degree of nonlinearity of the function linking the exchange rate to fundamentals, and the shape of the exchange rate stochastic distribution.     

An unsuccessful initiative to create a buying centre

An organization’s effectiveness depends on its ability to adapt its structures to new situations. This holds crucially true for small companies, constrained by their resources and capacities. The interest of five small local companies for setting up a united buying centre with which respond to the ever-changing market is described. Greater and better knowledge of the potential suppliers’ pool, improved purchasing prices, greater negotiating power, access to more appropriate technology and improved overall operations, all figured amongst the advantages of this initiative. However, despite the apparent importance of these advantages, the study pinpoints a number of obstacles and a range of behavioural traits amongst the members involved that would make the project unfeasible as a tool for achieving them.     

Gender mainstreaming in the enlarged European Union: recent developments in the European employment strategy and Social Inclusion Process

The European Union (EU) has an explicit commitment to raise the employment rate for women and to advance gender mainstreaming (GM) and gender equality in both employment and social inclusion policies. In this article we assess developments in the latest round of National Action Plans (NAPs), with particular attention to the situations in the 10 new member states. GM continues to be patchy and inadequate, with a similarly narrow focus in both ‘old’ and ‘new’ member states. After enlargement, the greater diversity of national situations in conjunction with ongoing reforms to EU policy frameworks create new challenges for GM.     

Economic feasibility analysis for electrical generation from biogas in waste disposal sites in Mexico City

This article highlights the main aspects related to energy generation from biogas in a controlled landfill of Mexico City in order to determine profits and environmental benefits. The designed structures and public policies to provide waste management services in Mexico City have been exceeded. A significant increase in demand has led the government of Mexico City to base public services on rudimentary techniques using obsolete equipment. The modernization of waste disposal facilities and the diversification of services linked to waste treatment can offer several business opportunities to optimize energy generation from solid wastes. The use of landfills to dispose large amounts of waste enables the energy generation from biogas. The energy generated can diversify the electricity market and provide economic benefits to landfills managers to cover operational costs.     

An alternative method to estimate parameters in modelling the behaviour of commodity prices

Measuring the risk of investment projects involving commodities and modelling its price dynamics behaviour is usually implemented with Kalman filtering techniques. However, because the use of these techniques has high implementation requirements, recent literature has employed approximate models. This paper proposes a new and simpler spreadsheet implementation procedure which presents lower implementation requirements than the widely used Kalman filtering estimation procedure. The proposal needs to estimate fewer parameters than usual and does not directly estimate sequences but considers the relationship between the states implicitly when defining the regression matrices. This translates into a significant reduction in processing time. We apply the proposal to estimate the parameters of a 4-factor model for four commercial commodities: crude oil, heating oil, unleaded gasoline and natural gas; we then compare the accuracy with results using the Kalman filter method. Results indicate that error measurements are approximately equal for the actual model and the approximation proposed in this paper, for both the in- and out-of-sample data-sets.