HIGHWAY SAFETY AND THE 65-mph SPEED LIMIT

A Federal Highway Bill was enacted in 1987 in response to many state governments' increasing concerns that the 55-mph national maximum speed limit was unduly restrictive. The bill permitted states to raise the maximum speed limit to 65 mph on most rural interstate highways, which historically have been the safest. The state of Indiana reacted promptly to the enabling legislation by raising the maximum speed limit on its rural interstate highways to 65 mph as of June 1, 1987. This paper uses cross-section/time-series data to estimate a model of highway safety. The primary empirical finding is that the higher speed limit on rural interstates has increased the incidence of total and injury interstate accidents but not of fatal interstate accidents. However, for the state as a whole, the relaxed speed limit has reduced total and injury accidents with no effect on fatal accidents. This indicates that the impact of speed limit legislation on non-interstate roads has more than offset its effect on interstate highways.     

The intertemporal stability of the concentration-margins relationship in Dutch and U.S. manufacturing

Factors influencing price-cost margins are investigated using a rich panel data base of the Dutch manufacturing sector. Attention is devoted to the intertemporal stability of the relationship explaining price-cost margins and to a comparison with U.S. results. Our results indicate that isolated cross-section analyses can be misleading. Evidence is provided for similarities and dissimilarities between the U.S. and the Netherlands when explaining price-cost margins. Dutch margins are influenced by industry-specific factors such as sales changes, import competition, capital intensity and operating expenses. Domestic seller concentration, aggregate capacity utilization and export intensity play no distinct roles.This research was sponsored in part by the Economics Research Foundation, which is part of the Netherlands Organization for Scientific Research. We wish to thank H. W. de Jong, Leo Sleuwaegen, David Audretsch and Aad Kleijweg for their useful comments.     

Partnerships and production: Agriculture and polygyny in Tanzanian households

Women make important contributions to household food production in sub‐Saharan Africa. Women's agricultural productivity is often reduced, however, by inefficient intrahousehold allocation of agricultural resources. Complex marital structures found in polygynous households may complicate resource allocation. Using three waves of the Tanzania Living Standards Measurement Survey–Integrated Survey on Agriculture, we measure the effect of the marital structure, wife position, and plot management on agricultural productivity and input allocations. We find evidence of cooperation within polygynous households. Plots managed by husbands and wives in polygynous households produce more valuable crops, have higher yields, and are more likely to use fertilizer than their monogamous counterparts. Within polygynous households, we observe that plots jointly managed by husbands, first wives, and second wives (together) have significantly more family labor than plots managed by husbands and first wives. This result may provide evidence of different production technologies across plot managers within the same households.     

Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume,Variety, and Veracity on Firm Performance*

Despite significant academic and managerial interest in big data, there is a dearth of research on how big data impacts the long‐term firm performance. Reasons for this gap include a lack of objective indices to measure big data availability and its impact, and the tendency of studies to ignore the costs associated with collecting and analyzing big data, assuming that big data automatically delivers benefits to firms. Focusing on how firms create and capture value from big data about customers, we use the resource‐based view and three dimensions of big data (i.e., volume, variety, and veracity) to understand when the benefits outweigh the costs. Relying on the number of downloads of mobile device applications, we find that volume of big data has a negative effect on firm performance. This result suggests that the “bigness” of big data alone does not ensure value creation for a firm, and could even constitute a “dark side” of big data. Because big data variety—measured as the number of types of information taken per each application—moderates the negative effects of big data volume, simultaneous high values of volume and variety allow firms to create value that positively affects their performance. In addition, high levels of veracity (i.e., a high percentage of employees devoted to big data analysis), are linked to firms benefiting from big data via value capture. These findings shed light on the circumstances in which big data can be beneficial for firms, contributing to a better theoretical understanding of the opportunities and challenges and providing useful indications to managers.     

Discovering culture-led regeneration in Dundee

The arts and culture sectors have been shown to contain considerable potential as driving forces for regeneration. Following a series of physical, economic and community regeneration initiatives in the city of Dundee, an arts and culture-based strategy is now being followed which would seem to offer a means by which sustainable regeneration achievements can be made. While this initiative has been integrated with other aspects of regeneration in the city, a broader, strategic approach to culture-led regeneration would seem to be necessary for maximum benefits to be obtained.     

Deleveraging in a Highly Indebted Property Market: Who does it and are there Implications for Household Consumption?

A distinguishing feature of the period preceding the 2007/2008 financial crisis was the sizeable increase in private sector debt observed across many countries. A key component of household liabilities is mortgage debt and with many countries experiencing persistent increases in house prices from the mid‐1990s, a marked increase in this aspect of household leverage was observed. While aggregate statistics across countries confirm reductions in personal debt levels in recent years, relatively few sources of micro data are available to examine the nature of the deleveraging process at the household level. In this paper, using a unique dataset, we examine deleveraging amongst a representative sample of mortgaged Irish households. We identify the characteristics of households engaged in deleveraging and find that it is those households who can afford to deleverage who do. Furthermore we find some tentative evidence to suggest that the decision to deleverage has negative implications for household consumption.