Errors in variables and spatial effects in hedonic house price models of ambient air quality

In the valuation of the effect of improved air quality through the estimation of hedonic models of house prices, the potential “errors in variables” aspect of the interpolated air pollution measures is often ignored. In this paper, we assess the extent to which this may affect the resulting empirical estimates for marginal willingness to pay (MWTP), using an extensive sample of over 100,000 individual house sales for 1999 in the South Coast Air Quality Management District of Southern California. We take an explicit spatial econometric perspective and account for spatial dependence and endogeneity using recently developed Spatial 2SLS estimation methods. We also account for both spatial autocorrelation and heteroskedasticity in the error terms, using the Kelejian–Prucha HAC estimator. Our results are consistent across different spatial weights matrices and different kernel functions and suggest that the bias from ignoring the endogeneity in interpolated values may be substantial. This paper is part of a joint research effort with James Murdoch (University of Texas, Dallas) and Mark Thayer (San Diego State University). Their valuable input is gratefully acknowledged. The research was supported in part by NSF Grant BCS-9978058 to the Center for Spatially Integrated Social Science (CSISS), and by NSF/EPA Grant SES-0084213. Earlier versions were presented at the 5th International Workshop on Spatial Econometrics and Statistics, Rome, Italy, May 2006, the 53th North American Meetings of the Regional Science Association International, Toronto, ON, Nov. 2006, the 2007 Meetings of the Allied Social Science Assocations, Chicago, IL, Jan 2007, and at departmental seminars at the University of Illinois. Comments by discussants and participants are greatly appreciated. A special thanks to Harry Kelejian for his detailed and patient clarification of the HAC estimator. The usual disclaimer holds.     

Urbanization and poverty reduction: the role of rural diversification and secondary towns1

A rather unique panel tracking more than 3,300 individuals from households in rural Kagera, Tanzania, during 1991/1994–2010 shows that about one out of two individuals/households who exited poverty did so by transitioning out of agriculture into the rural nonfarm economy or secondary towns. Only one out of seven exited poverty by migrating to the big cities, even though those moving to the city experienced on average faster consumption growth. Further analysis of a much larger cross‐country panel of 51 developing countries cannot reject that rural diversification and secondary town development lead to more inclusive growth patterns than metropolitization. Indications are that this follows because more of the poor find their way to the rural nonfarm economy and secondary towns, than to distant cities. The development discourse would benefit from shifting beyond the rural–urban dichotomy and focusing more instead on how best to urbanize and develop its rural nonfarm economy and secondary towns.     

Assessing Technical Efficiency of Québec Dairy Farms

The purpose of this paper is twofold. Our first objective is to measure the level of technical efficiency of Québec dairy farms. Our second objective is to gauge the robustness of our results with respect to the selection of a functional form and of a distribution for the inefficiency index. We estimate efficiency frontiers for Cobb-Douglas (C-D), translogarithmic (TL) and generalized Leontief (GL) production functions with half-normal, truncated normal and exponential distributions. Our results, based on likelihood dominance criterion (LDC) indicate that the GL production technology dominates the other two functional forms, and this ranking is robust to changes in the distribution of the inefficiency index. Efficiency scores and ranks are highly correlated for all the functional forms and distributions. The differences in the mean levels of efficiency are statistically significant across functional forms and distributions, although the magnitude of the difference is minuscule. The very high mean level of efficiency and the low standard deviation confirms that Québec dairy farms are very homogenous in terms of getting the most from their inputs. This is not surprising, given that the sector has been very stable policywise and that it has been difficult for dairy farmers to expand. To augment the comparisons, results obtained from data envelopment analysis (DEA), are added to the analysis. In this case, the correlation coefficients between DEA and parametric specifications are found to be very low.     

Decoding codes: The dialogue between consumers and suppliers through codes of conduct in the European Community

The second Consumer Action Programme of the European Community (1981) has introduced the idea of a dialogue between producers and consumers, leading to voluntary agreements or codes of conduct. Today, several types of codes exist within the area of the European Community. They differ in their geographic origin, their adoption procedure and their modus operandi. Many codes are good examples of a new type of rule-making in European consumer affairs, namely sponsored regulation. In between the public and the private normative order, a grey area of paralegal norms is existing and developing steadily. The EC authorities often prefer to provide the conditions for rule-making by private parties instead of producing norms themselves. In those cases, codes of conduct may replace the law, substitute it, or add to it. Codes of conduct are not the only possible output of the dialogue between producers and consumers, nor are they the only example of sponsored regulation. Others are model contracts, complaint boards, and standardization institutes.

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Der Dialog zwischen Verbrauchern und Anbietern mit Hilfe von Verhaltenskodices in der Europäischen Gemeinschaft

Zusammenfassung Das zweite Verbraucheraktionsprogramm der Europäischen Gemeinschaft aus dem Jahr 1981 führt die Idee eines Dialoges zwischen Produzenten und Konsumenten ein. Dieser Dialog soll zu freiwilligen Vereinbargungen über Verhaltensrichtlinien führen. Der Beitrag gibt zunächst einen Überblick über die recht unterschiedlichen Formen solcher Kodices im Bereich der Europäischen Gemeinschaft. Unter geographischem Gesichtspunkt werden nationale, internationale und übernationale Kodices unterschieden, unter dem Gesichtspunkt des Vereinbarungsverfahrens unilaterale, bilaterale und trilaterale Kodices, und schließlich unter dem des modus operandi ursprüngliche, gemeinschaftliche und administrierte Kodices.Zahlreiche Kodizes sind ein Beispiel für einen neuen Typ von Regulierung im Bereich europäischer Verbraucherangelegenheiten, nämlich geförderte Regulierung. Diese Form der Regulierung entwickelt sich zwischen den klassischen Formen, nämlich dem staatlich geschaffenen Recht einerseits und der privat geschaffenen Selbstregulierung andererseits. Dazwischen wächst eine Grauzone mit rechtsähnlichen Regelungen. Statt selbst Normen zu schaffen, regen die EC-Behörden die beteiligten Parteien verstärkt an, sich ihre Normen zu schaffen, indem sie ihnen die formellen und inhaltlichen Bedingungen dafür zur Verfügung stellen. Kodices sind ein Beispiel für solche geförderte Regulierung, aber nicht das einzige. Die Beziehung zwischen Kodices und Gesetzgebung ist oft komplex. Kodices können rechtliche Vorschriften ersetzen (aktive Deregulierung), anstelle von Gesetzgebung treten (vorbeugende Regulierung) oder zur Gesetzgebung hinzutreten.Schließlich sind Verhaltenskodices nicht das einzige Ergebnis des Dialoges zwischen Produzenten und Konsumenten. Andere sind Musterverträge, die von den beteiligten Seiten ausgehandelt werden, ferner Beschwerdestellen zur Behandlung von Verbruaucherbeschwerden, sowie Standardisierungseinrichtungen, die seit der neuen Politik der Kommission neue Bedeutung gewinnen.

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Luc Huyse is Professor of Sociology of Law at the Faculty of Law, Katholieke Universiteit Leuven, Law and Society Institute, Hooverplein 10, B-3000 Leuven, Belgium. Stephan Parmentier is a Research Assistant at the Law and Society Institute. The Research was supported by grant OT/88/2 from the Research Fund of the Katholieke Universiteit Leuven.     

Capital structure and international debt shifting

This paper presents a model of a multinational firm's optimal debt policy that incorporates international taxation factors. The model yields the prediction that a multinational firm's indebtedness in a country depends on a weighted average of national tax rates and differences between national and foreign tax rates. These differences matter as multinationals have an incentive to shift debt to high-tax countries. The predictions of the model are tested using a novel firm-level dataset for European multinationals and their subsidiaries, combined with newly collected data on the international tax treatment of dividend and interest streams. Our empirical results show that a foreign subsidiary's capital structure reflects local corporate tax rates as well as tax rate differences vis-à-vis the parent firm and other foreign subsidiaries, although the overall economic effect of taxes on leverage appears to be small. Ignoring the international debt shifting arising from differences in national tax rates would understate the impact of national taxes on debt policies by about 25%.     

Labour commodification,differentiation, and marginalization of the peasantry in Sella Limba (Sierra Leone) from 1950 to the present

In Sierra Leone, migration to diamond fields and the development of cash crops have contributed to the increasing integration of the peasantry in the national and global economy. Based on the study of a small northern chiefdom, Sella Limba, we describe how the labour commodification have led to the perversion of “traditional” social relations based on anteriority, and to the break‐up of large domestic groups into smaller, more precarious ones. At the same time, manual agriculture has been marginalized by massive cheap rice imports and remained very low in capital intensity. In this context, we show how low labour productivity curtails opportunities for long‐term social and economic differentiation. Farmers combine “modern” and “traditional” social relations, developing hybrid accumulation strategies that are sometimes close to mere survival.     

A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production

The objective of this study is to determine the potential for using spatial econometric analysis of combine yield monitor data to estimate the site-specific crop response functions. The specific case study is for site-specific nitrogen (N) application to corn production in Argentina. Spatial structure of the yield data is modeled with landscape variables, spatially autoregressive error and groupwise heteroskedasticity. Results suggest that N response differs by landscape position, and that site-specific application may be modestly profitable. Profitability depends on the model specification used, with all spatial models consistently indicating profitability, whereas the nonspatial models do not.     

Firm size and inventive activity: The evidence reconsidered

This paper analyses the relationship between firm size and inventive activity in the United States for the late seventies. It is argued that the inventive activity measure used, R&D expenditure, is a more ‘neutral’ measure in relation to firm size, than both R&D employment and the number of patents. Contrary to most empirical research in this field, the analyses carried out in the present paper indicate that inventive activity seems to increase more than proportionately with firm size.     

Volatility analysis of precious metals returns and oil returns: An ICSS approach

This study examines volatility persistence on precious metals returns taking into account oil returns and the three world major stock equity indices (Dow Jones Industrial, FTSE 100, and Nikkei 225) using daily data over the sample period January 1995 to May 2008; the aim is to analyze market relationships before the global financial crisis. We first determine when large changes in the volatility of each market returns occur by identifying major global events that would increase fluctuations in these markets. The Iterated Cumulative Sums of Squares (ICSS) algorithm was used to identify the existence of structural breaks or sudden changes in the variance of returns. In each market the standardized residuals were obtained through the GARCH(1,1) mean equation. Our main results identify a clear relationship between precious metals returns and oil returns, while the interaction between precious metals and stock returns seems to be an independent one in the case of gold with mixed results for silver and platinum. In relation to volatility persistence, the results show clear evidence of high volatility persistence between these markets, especially during times when markets were affected by excessive volatility due to economic and financial shocks.