ROY MODEL SORTING AND NONRANDOM SELECTION IN THE VALUATION OF A STATISTICAL LIFE*

Wage‐hedonics is used to recover the value of a statistical life (VSL) by exploiting the fact that workers choosing riskier occupations are compensated with a higher wage. Roy (Oxford Economic Papers 3 (1951), 135–46) suggests that observed wage distributions will be distorted if individuals choose jobs according to idiosyncratic returns. We describe how this type of sorting biases wage‐hedonic VSL estimates and implement two new estimation strategies that correct that bias. Using data from the Current Population Surveys, we recover VSL estimates that are three to four times larger than those based on the traditional techniques, statistically significant, and robust to a wide array of specifications.     

Impacts of meat product recalls on consumer demand in the USA

The impact of meat product recall events on consumer demand (beef, pork, poultry, and other consumption goods) in the USA is tested empirically. Beef, pork, and poultry recall indices are constructed from both the Food Safety Inspection Service's meat recall events and from newspaper reports over the period 1982–1998. Following previous product recall studies, recall indices are incorporated as shift variables in consumers’ demand functions. Estimating an absolute price version of the Rotterdam demand model, findings indicate that Food Safety Inspection Service's meat recall events significantly impact demand, and newspaper reports do not. Moreover, although elasticities related to recall events are significant they are small in magnitude relative to price and income effects. Any favourable effects on the demands of meat substitutes for a recall are offset by a more general negative effect on meat demand. The general negative effect indicates a shift out of meat to non-meat consumption goods.     

Deunionization and job polarization – a macroeconomic model analysis for a small open economy

Declining unionization rates and job polarization are two important labor market developments of recent decades. A large body of literature has analyzed these phenomena separately, but little has been done to see whether there is a link between them. We employ a macroeconomic model for a small open economy with a large input–output core to analyze how deunionization may cause job polarization. Our analysis shows that medium-skilled workers are negatively affected by deunionization, mainly as a result of the heterogeneity of the elasticities of substitution between different types of labor. While the elasticities of substitution between high- and medium-skilled labor are relatively low, the elasticities of substitution between medium- and low-skilled are relatively high. As a result, when deunionization leads to increased wage dispersion, we find that demand for low-skilled increases at the expense of medium-skilled labor, thus yielding a more polarized labor market.     

Collaborative cost-cutting: productive efficiency as an interdependency between public organizations

Collaboration between public sector organizations is typically understood as a response to complexity. Agencies collaborate in order to address complex, cross-cutting policy needs that cannot be met individually. However, when organizational size is a constraining factor in public service efficiency, collaboration can also reduce costs by capturing scale economies unavailable to organizations of sub-optimal size. Using organization theory, the article conceptualizes these two different triggers for public sector collaboration, and builds a framework for tracing their wider impact upon the formation, operation, and outcome of inter-agency partnerships. The framework is illustrated, and its implications for future research are explored.     

Public Investment and Income Taxation: Redistribution vs. Productive Performance

This paper deals with government investment in a static two-type self-selection model of optimum income taxation. It is shown that the second-best investment rule is consistent with efficient production, provided that public investment has no influence on relative factor prices. Otherwise, however, redistributive income taxation implies that optimal investment expenditures exceed (or fall below) the efficient level as long as they raise (or decrease) the wage rate of the unskilled individuals relative to the wage rate of the skilled individuals.     

Learning to bid: The design of auctions under uncertainty and adaptation

We examine auction design in a context where symmetrically informed adaptive agents with common valuations learn to bid for a good. Despite the absence of private valuations, asymmetric information, or risk aversion, bidder strategies do not converge to the Bertrand–Nash equilibrium strategies even in the long run. Deviations from equilibrium strategies depend on uncertainty regarding the value of the good, auction structure, the agents? learning model, and the number of bidders. Although individual agents learn Nash bidding strategies in isolation, the learning of each agent, by flattening the best-reply correspondence of other agents, blocks common learning. These negative externalities are more severe in second-price auctions, auctions with many bidders, and auctions where the good has an uncertain value ex post.     

The Impact of Labour Market Reforms and Economic Performance on the Matching of the Short‐term and the Long‐term Unemployed

As a reaction to high and persistent unemployment in Germany, the largest labour market reforms in post‐war history were implemented between 2003 and 2005. We analyse the impact of the reforms and its coincidence with an economic expansion on the efficiency of matching out of unemployment. Especially focussing on searcher heterogeneity, we estimate a system of stock‐flow matching functions for short‐term and long‐term unemployment (three‐stage least squares) on the basis of administrative data. In sum, the reforms increased matching efficiency for both groups, but the effect was larger for the long‐term unemployed. The interaction of reforms and economic expansion, however, was not influential.     

The economic impact of shale gas extraction: A review of existing studies

Recent advances in drilling technology have allowed for the profitable extraction of natural gas from deep underground shale rock formations. Several reports sponsored by the gas industry have estimated the economic effects of the shale gas extraction on incomes, employment, and tax revenues. None of these reports has been published in an economics journal and therefore have not been subjected to the peer review process. Yet these reports may be influential to the formation of public policy. This commentary provides written reviews of several studies purporting to estimate the economic impact of gas extraction from shale beds. Due to questionable assumptions, the economic impacts estimated in these reports are very likely overstated.     

Linking scenarios across geographical scales in international environmental assessments

The development and analysis of scenarios or plausible futures has evolved to be a useful approach for dealing with uncertainty about future developments in a structured and integrated manner. Commonly, scenario exercises have focussed on processes at one specific geographic scale. Recently scenario-based approaches have also been used to address multi-scale processes or to link scenarios developed at various geographical scales with each other in order to better understand the interaction of processes across scales.The level of interconnectedness across scales will vary, and depends largely on the approaches used to develop multi-scale scenarios. We distinguish five levels of interconnectedness scenarios may display across scales: (a) Equivalent, (b) Consistent, (c) Coherent, (d) Comparable, and (e) Complementary. Furthermore, we describe five different types of coupled scenario development processes: (a) Joint, (b) Parallel, (c) Iterative, (d) Consecutive, and (e) Independent.Based on this nomenclature, the relationship between the level of interconnectedness of scenarios and the degree of coupling of scenario development processes across geographical scales is discussed. Which process is best suited and how much interconnectedness is needed, will depend both on the focal issue and the primary purpose of the scenario exercise, i.e. whether the aim is education, scientific exploration, or decision-support.