On the test score gap between Roma and non‐Roma students in Hungary and its potential causes

Using unique data from Hungary, the gap in reading and mathematics test scores between Roma and non‐Roma 8th grade students is assessed and a substantial gap between them revealed. Standardized test scores as well as the fraction of students with competences considered inadequate are examined. Regardless of measurement and subject area, the bulk of the gap is explained by social differences in income, wealth and parental education. Using reduced‐form regressions, two major mediating mechanisms are identified: first, on average the home environment of Roma children is less favourable for cognitive development; second, the educational environment of the average Roma student is different from the average non‐Roma student. Comparing students with similar home environments from the same school and class, the ethnic gap in test scores is found to be insignificant. Ethnic differences in the home environment are explained by social disparity, and ethnicity seems to play no additional role in that regard. The unequal distribution of Roma students in schools and classes is found to be explained predominantly by social difference, too, with a significant residual portion, indicating the effect of ethnic segregation.     

US Labor Institutionalism’s Rise and Decline and the Death of US Industrial Relations

Employee Responsibilities and Rights Journal - This article presents a short history on the rise and fall of US labor institutionalism as advanced by the Wisconsin school labor history and...     

Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies

Do jobs follow people or people follow jobs? A meta-analysis of Carlino–Mills studies. Spatial Economic Analysis. This study examines the classic question as to whether ‘jobs follow people’ or ‘people follow jobs’ by performing a meta-analysis of 321 results from 64 Carlino–Mills studies. It is found that the results are highly divergent, but that more results point towards ‘jobs following people’ than towards ‘people following jobs’. When it comes to the reasons for the variation in results, we find that the results are mostly shaped by the geographical location, spatial resolution, and population and employment characteristics present in the data, as well as by the model’s specification, its functional form and the spatial weight matrix specification.     

Forecasting demand for electricity in Maryland: An econometric approach

Most of the models for forecasting demand for energy are based on simple extrapolations of past trends or on a simple regression equation with price of the energy and the stock of appliances as explanatory variables. In this paper, an attempt has been made to derive static and dynamic multiple regression equations from economic theory of consumption and production (Section II). Historical data were fitted to these theoretical constructs to test the equations in terms of econometric theory and forecast the demand according to “higher order conditional interval forecasts”. The residential demand for electricity is a function of its price, price of its substitute, per capita income and a lagged demand variable for dynamic adjustment of actual demand to equilibrium demand for electricity. The forecasts of residential demand to 1990 are based on projections of exogenous variables such as residential price of electricity, per capita income and the estimated long run elasticity of demand (Section III). The nonresidential demand for electricity is a function of employment in that sector, sectoral prices of electricity and the lagged sectoral demand. The forecasts of nonresidential electricity demand are also based on projections of its independent variables (Section IV). The last section converts the total demand for electricity into the required generating capacities and juxtaposes them against the estimates of expected supplies available from the forecasts of the utilities. The paper concludes that the eighties will be faced with excess supply of electricity in Maryland, in case the assumptions of projections of independent variables hold good. The misallocation of resources inherent in such excess supplies could be avoided if realistic scenerios of future demand, as attempted in this paper, could be predicted.     

Wage inflation and labour conflicts in the Netherlands : An empirical investigation using the co-integration approach

The ‘wage space’, which is defined as the sum of price inflation and labour productivity growth, has played a major role as an indicator of allowable wage increases in the post-war wage negotiations in the Netherlands. This paper shows that: (a) wages and the wage space are co-integrated; (b) the deviation between wages and the wage space may act as an error correction term in the wage equation when both variables are identified as I(2); and (c) political consensus and the threat of labour conflicts (rather than actual strike activity) may be identified as the ‘mechanism’ behind this error correction in the wage equation.     

Information on sellers and buyers characteristics: added value to explain price formation at primary fish markets in managed French scallop fisheries

The aim of this article is to explore, through a hedonic approach, the factors that might explain the price variability for the French-managed fishery of scallop at primary fish markets. In addition to factors classically identified in the current literature like intrinsic product characteristics or markets situation, the characteristics of operators are tested. The relationships of loyalty between sellers and buyers, and market assiduity are notably considered.     

Science and politics: The 1981 and 1984 LIHEAP distribution formulas

The Low-Income Home Energy Assistance Program (LIHEAP) is a federal block grant program to help low-income households pay their heating and cooling bills. If the regular fiscal year LIHEAP appropriation is less than or equal to $1.975 billion, then a 1981 formula is applied to distribute funding across states, while if appropriations rise above the $1.975 billion threshold, a 1984 formula is applied in conjunction with two hold-harmless provisions. In 18 of the past 20 years, the 1981 formula has served as the default mechanism to distribute LIHEAP funding. The purpose of this paper is to call attention to the inadequacy of the 1981 formula and to explain why the objectives of LIHEAP are not met when this formula is used. We explain why the distribution of LIHEAP funds is not proportionate to the need for assistance and offer some suggestions for improvement. The 1981 formula is shown to be the outcome of a convoluted political process heavily biased in favor of cold-climate states, with cold-climate states receiving on-the-order of at least $150 million a year in allotment dollars beyond their “fair share” of heating requirements. The 1981 and 1984 distribution formulas are derived and a critical examination of each formula is presented. The 1984 formula is shown to be an ideal mechanism to distribute LIHEAP funds, based on a scientific and rational understanding of low-income energy needs, but legislative constraints prevent its application.     

Using choice experiments to assess smallholder farmers' preferences for pig breeding traits in different production systems in North-West Vietnam

Livestock form key components of the livelihood strategies of many of the world's poorest people. However, despite the potential to alleviate poverty and improve food security through livestock development interventions, the lack of smallholders' participation in the planning and design of breeding programs has often been a major cause of the failure of such programs. Particularly in developing countries where livestock production is still mostly subsistence-oriented and livestock fulfil manifold functions a considerable number of livestock breeding programs have failed. The development of adequate tools to characterise these functions, bearing in mind that these are expressed only rarely in properly functioning markets, is therefore important.This paper seeks to advance the application of such methodologies to the smallholder pig sector in Vietnam. A choice experiment was applied across 140 households involved in pig breeding in order to assess farmers' preferences and the trade-offs for a list of adaptive and productive traits. These included growth, reproduction, disease resistance, feed requirements and appearance.The findings indicate that smallholders highly value both adaptive and performance traits, particularly in resource-driven (i.e. subsistence) production systems. Performance traits were more highly valued in the demand-driven (i.e. market-oriented) systems. These findings have implications for breeding program breed choice and breeding objectives.