Interviewing in two‐sided matching markets

We introduce the interview assignment problem, which generalizes classic one‐to‐one matching models by introducing a stage of costly information acquisition. Firms learn preferences over workers via costly interviews. Even if all firms and workers conduct the same number of interviews, realized unemployment depends also on the extent to which agents share common interviewing partners. We introduce the concept of overlap that captures this notion and prove that unemployment is minimized with perfect overlap: that is, if two firms interview any common worker, they interview the exact same set of workers.     

Land Aggregation Using Contingent and Guaranteed Payments

This article explores the use of alternative payment mechanisms to overcome the holdout problem when multiple parcels of land must be acquired to complete a real‐estate development project. Purchase offers contingent upon successful land aggregation are compared to combination offers containing both guaranteed and contingent payments to determine which approach better mitigates holdout. The distribution of gains between developers and landowners is also examined. The results of a series of economic experiments suggest that contingent offers expedite land aggregation but developer payoffs are higher when combination offers are used. The results offer insight to real‐estate developers participating in land aggregation and inform government entities considering the necessity of public‐sector intervention in real‐estate markets to encourage desired development projects.     

A new professionalism for agricultural research for development

There have been repeated calls for a ‘new professionalism’ for carrying out agricultural research for development since the 1990s. At the centre of these calls is a recognition that for agricultural research to support the capacities required to face global patterns of change and their implications on rural livelihoods, requires a more systemic, learning focused and reflexive practice that bridges epistemologies and methodologies. In this paper, we share learning from efforts to mainstream such an approach through a large, multi-partner CGIAR research program working in aquatic agricultural systems. We reflect on four years of implementing research in development (RinD), the program’s approach to the new professionalism. We highlight successes and challenges and describe the key characteristics that define the approach. We conclude it is possible to build a program on a broader approach that embraces multidisciplinarity and engages with stakeholders in social-ecological systems. Our experience also suggests caution is required to ensure there is the time, space and appropriate evaluation methodologies in place to appreciate outcomes different to those to which conventional agricultural research aspires.     

The value contribution of strategic foresight: Insights from an empirical study of large European companies

This paper focuses on exploring the potential and empirically observable value creation of strategic foresight activities in firms. We first review the literature on strategic foresight, innovation management and strategic management in order to identify the potential value contributions. We use survey data from 77 large multinational firms to assess how much value is generated from formalized strategic foresight practices in these firms. We show that it is possible to capture value through (1) an enhanced capacity to perceive change, (2) an enhanced capacity to interpret and respond to change, (3) influencing other actors, (4) and through an enhanced capacity for organizational learning.     

ESTIMATING THE EFFECTS OF BROWNFIELDS AND BROWNFIELD REMEDIATION ON PROPERTY VALUES IN A NEW SOUTH CITY

Using data from Charlotte, NC, a New South city without a legacy of heavily contaminated properties, we find the distance from unremediated brownfields—typically former industrial properties believed to have modest contamination—to have no effect on residential sales values, but proposed cleanup and actual remediation have positive, substantial, and significant effects especially within 0.5 miles of the brownfield. Our results are consistent whether we examine all property values within a given distance, such as 0.5 miles, or examine discrete distances, such as 0.3–0.5 miles. An estimate of the benefits is on the order of $4 million. (JEL Q51, Q24, Q28, R52)     

Statistical study of foreign exchange rates, empirical evidence of a price change scaling law, and intraday analysis

In this paper we present a statistical analysis of four foreign exchange spot rates against the U.S. Dollar with several million intra-day prices over 3 years. The analysis also includes gold prices and samples of daily foreign exchange prices over 15 years. The mean absolute changes of logarithmic prices are found to follow a scaling law against the time interval on which they are measured. This empirical law holds although the distributions of the price changes strongly differ for different interval sizes.Systematic variations of the volatility are found even during business hours by an intra-day analysis of price changes. Seasonal heteroskedasticity is observed with a period of one day as well as one week as the result of an analogous intra-week analysis; taking this into account is necessary for any future study of intra-day price change distributions and their generating process. The same type of analysis is also made for the bid-ask spreads.     

Median stable matching for markets with wages

We define the median stable matching for two-sided matching markets with wages and prove constructively that it exists.     

Statistical Analysis of Choice Experiments and Surveys

Measures of households' past behavior, their expectations with respect to future events and contingencies, and their intentions with respect to future behavior are frequently collected using household surveys. These questions are conceptually difficult. Answering them requires elaborate cognitive and social processes, and often respondents report only their “best” guesses and/or estimates, using more or less sophisticated heuristics. A large body of literature in psychology and survey research shows that as a result, responses to such questions may be severely biased. In this paper, (1) we describe some of the problems that are typically encountered, (2) provide some empirical illustrations of these biases, and (3) develop a framework for conceptualizing survey response behavior and for integrating structural models of response behavior into the statistical analysis of the underlying economic behavior.