Testing for Localisation Using Micro-Geographic Data

To study the detailed location patterns of industries, and particularly the tendency for industries to cluster relative to overall manufacturing, we develop distance-based tests of localisation. In contrast to previous studies, our approach allows us to assess the statistical significance of departures from randomness. In addition, we treat space as continuous instead of using an arbitrary collection of geographical units. This avoids problems relating to scale and borders. We apply these tests to an exhaustive UK data set. For four-digit industries, we find that (i) only 51% of them are localised at a 5% confidence level, (ii) localisation takes place mostly at small scales below 50 kilometres, (iii) the degree of localisation is very skewed, and (iv) industries follow broad sectoral patterns with respect to localisation. Depending on the industry, smaller establishments can be the main drivers of both localisation and dispersion. Three-digit sectors show similar patterns of localisation at small scales as well as a tendency to localise at medium scales.Localisation, Clusters, K-density, Spatial Statistics.

Testing for Localisation Using Micro-Geographic Data

To study the detailed location patterns of industries, and particularly the tendency for industries to cluster relative to overallmanufacturing, we develop distance-based tests of localisation. In contrast to previous studies, our approach allows us to assess the statistical significance of departures from randomness. In addition, we treat space as continuous instead of using an arbitrary collection of geographical units. This avoids problems relating to scale and borders. We apply these tests to an exhaustive UK data set. For four-digit industries, we find that (i) only 51% of them are localised at a 5% confidence level, (ii) localisation takes place mostly at small scales below 50 kilometres, (iii) the degree of localisation is very skewed, and (iv) industries follow broad sectoral patterns with respect to localisation. Depending on the industry, smaller establishments can be the main drivers of both localisation and dispersion. Three-digit sectors show similar patterns of localisation at small scales as well as a tendency to localise at medium scales.localisation, clusters, K-density, spatial statistics

Industry wage differentials, unobserved ability, and rent-sharing : Evidence from matched worker-firm data, 1995-2002

This paper investigates inter-industry wage differentials in Belgium, taking advantage of access to a unique matched employer-employee data set covering the period 1995-2002. Findings show the existence of large and persistent wage differentials among workers with the same observed characteristics and working conditions, employed in different sectors. The hypothesis that workers with better unmeasured abilities are over-represented in high-wage sectors may not be rejected on the basis of Martins’ (2004) methodology. However, the contribution of this explanation to the observed industry wage differentials appears to be limited. Further results show that ceteris paribus, workers earn significantly higher wages when employed in more profitable firms. Our instrumented wage-profit elasticity stands at 0.063 and Lester’s range of pay is about 41 per cent of the mean wage. This rent-sharing phenomenon accounts for a large fraction of the industry wage differentials. We find indeed that the magnitude, dispersion and significance of industry wage differentials decreases sharply when controlling for profits.Industry wage differentials; Unobserved heterogeneity; Rent-sharing; Matched employer-employee data; Quantile regressions

Indicators and methods for assessing the quality of logistic activity processes

Purpose: This article is aimed at identifying and evaluating the quality and safety indicators of processes in the logistics system and solving the problems of product control in the goods’ distribution process. Design/Methodology/Approach: In order to assess the risks and quality of control methods in the goods’ distribution processes, studies were carried out in the process of grain supply, on which the risk assessment was tested using the fault tree using a qualitative approach with a deductive logic, which allowed to identify events at the lower levels of the system. To evaluate the results when comparing various methods of monitoring the characteristics of products in the product distribution process certain statistical tools were used. The evaluation with comparative tests is required in order to determine the way of measuring products in the goods distribution logistics system. The study uses the methods of formalization, analysis, measurement, experimental and comparison. Findings: The considered risk assessment method and the given example allow us to recommend its use for the product distribution processes for various purposes. A technique is proposed for comparing various control methods based on statistical tools that can be recommended for various goods’ distribution operations. Practical implications: The results of the study can be applied in practice to improve the quality of goods’ distribution processes and reduce risks in the various supply chains. Originality/value: The main contribution of this study is to shift the emphasis on the assessment of processes in goods’ distribution to the positions of a risk-based approach and the use of various statistical tools in logistics’ activities.peer-reviewe

Rent-Sharing and the Cyclicality of Wage Differentials

This paper investigates inter-industry wage differentials in Belgium, taking advantage of access to a unique matched employer-employee data set covering all the years from 1999 to 2005. Findings show the existence of large wage differentials among workers with the same observed characteristics and working conditions, employed in different sectors. These differentials are persistent and no particular downward or upward trend is observed. However, the dispersion of inter-industry wage differentials appears to show a cyclical pattern over time. Further results indicate that ceteris paribus, workers earn significantly higher wages when employed in more profitable firms. The time dimension of our matched employer-employee data allows us to instrument firms' profitability by its lagged value. The instrumented elasticity between wages and profits is found to be quite stable over time and varies between 0.034 and 0.043. It follows that Lester's range of pay due to rent sharing fluctuates between about 24 and 37 percent of the mean wage. This rent-sharing phenomenon accounts for a large fraction of the industry wage differentials. We find indeed that the magnitude, dispersion and significance of industry wage differentials decreases sharply when controlling for profits.industry wage differentials, rent-sharing, matched employer-employee data

Detailed plan for the COMET WP3 initial research activity - list of research projects and goals, participants and timing

Detailed plan for the COMET Work Package (WP) 3

Assessing the Competitive Behaviour of Firms in the Single Market: A Micro-based Approach

This Report analyses and compares a number of indicators related to the evolution of the competitive behaviour of firms in the Single Market, from 1999 to 2007, in a selected number of both manufacturing and services industries and eight EU countries: Belgium, Germany, France, Italy, Poland, Romania, Spain and Sweden. A novelty of the approach is that the analysis is derived from firm-level observable data, which allow to grasp not only information on the average changes taking place in each industry and across countries, but also the distribution and sources of these changes in terms of individual firms' pricing behaviour and market shares, an information which is impossible to gather in detail from aggregate, traditional sector-level measure

Inter-industry wage differentials : How much does rent sharing matter ?

This paper investigates inter-industry wage differentials in Belgium, taking advantage of access to a unique matched employer-employee data set covering all the years from 1999 to 2005. Findings show the existence of large wage differentials among workers with the same observed characteristics and working conditions, employed in different sectors. These differentials are persistent and no particular downward or upward trend is observed. Further results indicate that ceteris paribus, workers earn significantly higher wages when employed in more profitable firms. The time dimension of our matched employer-employee data allows us to instrument firms' profitability by its lagged value. The instrumented elasticity between wages and profits is found to be quite stable over time and varies between 0.034 and 0.043. It follows that Lester’s range of pay due to rent sharing fluctuates between about 24 and 37 percent of the mean wage. This rentsharing phenomenon accounts for a large fraction of the industry wage differentials. We find indeed that the magnitude, dispersion and significance of industry wage differentials decreases sharply when controlling for profitsIndustry wage differentials, Rent-sharing, Matched employer-employee data

Assessing the Competitive Behaviour of Firms in the Single Market: A Micro-based Approach

This Report analyses and compares a number of indicators related to the evolution of the competitive behaviour of firms in the Single Market, from 1999 to 2007, in a selected number of both manufacturing and services industries and eight EU countries: Belgium, Germany, France, Italy, Poland, Romania, Spain and Sweden. A novelty of the approach is that the analysis is derived from firm-level observable data, which allow to grasp not only information on the average changes taking place in each industry and across countries, but also the distribution and sources of these changes in terms of individual firms' pricing behaviour and market shares, an information which is impossible to gather in detail from aggregate, traditional sector-level measure

The Equity of Public Education Funding in Georgia, 1988-1996

A study of the effect of Quality Basic Education on the level of equity of public education funding in Georgia