A LANDFILL CLOSURE AND HOUSING VALUES

The United States disposes roughly 60% of the municipal solid waste it generates each year in solid waste disposal facilities, commonly known as landfills. Hedonic pricing studies have estimated the external costs of landfills on neighboring housing markets, but the literature is silent on what happens to property values after the landfill closes. Original housing price data collected both before and after a landfill closure are used to estimate how a landfill closure affects neighboring property values. Results of both a hedonic pricing model and a repeat-sales estimator are used in the analysis. ( JEL H42, H72, Q51, Q53, R21)     

THE EFFECTS OF U.S.-CHINA TRADE ON EMPLOYMENT AND WAGES IN THE U.S.-MEXICO BORDER REGION

This article investigates the impact of foreign competition from China on employment and wages in four U.S.-Mexico Border counties: Santa Cruz, Arizona; San Diego, California; El Paso, Texas; and Webb, Texas. Using disaggregated industry-level data between 1992 and 2006, we find that increased trade with China is associated with significantly lower county-industry employment and wages. In contrast, and as expected, increased imports from Mexico are positively related to increased employment and wages in U.S.-Mexico border counties. The results indicate that the U.S.-Mexico supply-chain relationship related to the maquiladora industry is significantly affected by Chinese competition. Implications for policy include an increased focus on federal programs that are intended to diversify the border economy . ( JEL F13, F43, F23)     

Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale

Correction for hypothetical bias using follow up certainty questions often takes one of two forms: (1) two options, “definitely sure” and “probably sure”, or (2) a 10-point scale with 10 very certain. While both have been successful in eliminating hypothetical bias from estimates of WTP by calibrating based on the certainty of yes responses, little is known about the relationship between the two. The purpose of this paper is to compare the two using data from three field experiments in a private good, dichotomous choice format. We compare four types of yes responses that differ in the criterion used to determine if there is sufficient certainty for a hypothetical yes response to be considered a true yes response. We make several comparisons, but focus on determining which values on the 10-point scale give the same estimates of WTP as “definitely sure” hypothetical yeses and real yeses (actual purchases). Values that produce equivalence are near 10 on the certainty scale.     

Improving the econometric precision of regulatory models

Regulatory regimes often attempt to introduce quasi-competitive pressures by undertaking comparative efficiency assessments between the regulated companies and setting company-specific cost reduction targets based on those comparisons. The UK water industry is one example of such a regime—indeed, it has emphasized the importance of maintaining the number of independent companies in order to preserve the robustness of the modeling. For example, in 2007, the Competition Commission considered whether the merger between Mid Kent Water and South East Water might prejudice the ability of the regulator (Ofwat) to make comparisons across water companies for the purposes of assessing performance and setting price controls. In this paper, we examine this issue and provide specific recommendations to regulators. Our cross-sectional results show that the impact of this merger is not significant. We demonstrate that joint estimation of all the sub-models using the ‘seemingly unrelated regression’ (SUR) procedure in a cross-section and/or panel data framework can dramatically improve the accuracy of the modeling. Moreover, the merger does not affect the confidence intervals significantly under such approaches, which still remain far superior to those under Ofwat’s cross-sectional approach. Based on these results, we recommend that Ofwat and other regulators adopt SUR and/or panel data analysis and thereby reduce their reliance on having sufficient numbers of independent companies.     

Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors,Environmental Attitudes and Policy

Using survey data of around 10,000 households from 10 OECD countries, we identify the driving factors of household adoption of water-efficient equipment by estimating Probit models of a household’s probability to invest in such equipment. The results indicate that environmental attitudes and ownership status are strong predictors of adoption of water-efficient equipment. In terms of policy, we find that households that were both metered and charged for their water individually had a much higher probability to invest in water-efficient equipment compared to households that paid a flat fee.     

The impact of working conditions on sickness absence: a theoretical model and an empirical application to work schedules

This paper explores how poor working conditions impact sickness absence through their effect on health. Our contribution is two-fold. First, we develop a static theoretical model based on the concept of health capital, wherein poor working conditions are partially compensated by higher wages. According to our model, the effect of working conditions on sickness absence is ambiguous. Second, we apply our model to the case of working time arrangements and test the effect of working irregular schedules or work around the clock on sickness absence, using data from the French Labor Force Survey on a specific population (male manual workers in private sector). As heterogeneity may lead to severe bias, we use propensity score matching methods. Our estimates show that working irregular schedules has a significant impact on sickness absence. The results are more mitigated for work around the clock. In any case, the extent crucially depends on age.     

How Much do Technological Gap,Firm Size,and Regional Characteristics Matter for the Absorptive Capacity of Italian Enterprises?

The absorptive capacity—the ability of enterprises to efficiently absorb and internalise knowledge from outside sources—represents the link between firms’ capabilities to implement new products and the external stock of technological opportunities, such as those gleamed from Multinational Enterprises (MNEs). This paper explores whether the effect of foreign direct investment (FDI) on the productivity of Italian domestically-owned firms (DOFs) is dependent on their absorptive capacity. In particular, given the peculiar characteristics of the Italian productive system, our analysis focuses on three different dimensions of the absorptive capacity: the size of the technological gap between foreign-owned firms (FOFs) and DOFs, firm size, and the regional distribution of firms. Our findings suggest that technological gap and firm size matter considerably for the spillover effect. Moreover, spillovers exhibit a sub-national dimension present only in the northeastern region of the peninsula.     

Outsourcing with debt financing

This paper investigates the effect of capital structure on a firm’s choice between vertical integration and outsourcing. We model the production decision in a Principal-Agent framework and show that suppliers use debt as a strategic instrument to collect the surplus from outsourcing as their wealth constraint or limited liability ensures them more attractive compensation schemes. Investigating the buyer’s capital structure, we find that outsourcing with risky debt is more likely to occur for high values of the outsourcing surplus.     

A Second Elementary Proposition Concerning the Formation of Customs Unions

The conclusions of the 1976 Kemp–Wan proposition are shown to be valid even if, after the formation of a customs union, the tariff vectors of some non-member countries are optimally chosen.
JEL Classification Numbers: F02, F12, F13, F15.     

FDI Location and the Relevance of Spatial Linkages: Evidence from Provincial and Industry FDI in China

In this study both aggregate and industry‐level foreign direct investment (FDI) data are employed to investigate the spatial dependence of FDI hosts. The analysis contributes to the existing literature by focusing on the heterogeneous spatial correlation of FDI in different industries. Using more comprehensive FDI data across multiple industries and multiple provinces in China from 1999 to 2007, the results show a significant spatial correlation among provinces. Aggregate FDI tends to be regional trade platform oriented indicating neighboring provinces become competitors for FDI. In contrast, results based on industry‐level provincial FDI show stronger support for vertical or complex vertical FDI.