Finite sample inference for quantile regression models

Under minimal assumptions, finite sample confidence bands for quantile regression models can be constructed. These confidence bands are based on the “conditional pivotal property” of estimating equations that quantile regression methods solve and provide valid finite sample inference for linear and nonlinear quantile models with endogenous or exogenous covariates. The confidence regions can be computed using Markov Chain Monte Carlo (MCMC) methods. We illustrate the finite sample procedure through two empirical examples: estimating a heterogeneous demand elasticity and estimating heterogeneous returns to schooling. We find pronounced differences between asymptotic and finite sample confidence regions in cases where the usual asymptotics are suspect.     

Demand for electricity in Nigeria: Some empirical findings

This paper presents the findings from an econometric model of Nigerian electricity demand. Electricity consumers are partitioned into three classes-namely. Residential, Commercial and Industrial. It shows that over the last two decades there has been tremendous increase in both the supply and demand for electric energy. Although supply has increased, it has not been able to keep pace with demand. Various explanatory variables that determine changes in demand are analysed for each of the three consuming sectors. The findings are as follows.(i) Per capital income, previous level of electricity consumption and urbanization are the most significant explanatory variables for the Residential sector's electricity consumption. The short and long-run income elasticities are found to be below unity, while whose of urbanization are above unity. The average price of electricity, though rightly signed, was found to be insignificant.(ii) As regards the commercial sector, the significant explanatory variables were previous level of electricity consumption, income, average price of electricity and urbanization. Urbanization was, however, found to be the most sensitive variable in respect to changes in the sector's electricity demand.(iii) Previous level of industrial electricity consumption and degree of urbanization were the main explanatory variables for changes in the Industrial sector's demand for electricity. Industrial output and income were not found to be significant variables in explaining changes in the Industrial sector's demand for electricity.     

Fear of crime and housing prices: Household reactions to sex offender registries

Megan's Law requires public dissemination of information from sex offender registries. Opponents to this controversial law have questioned whether households misinterpret or even use this information. One concern was that the information might simply induce a “fear of crime.” This study finds evidence for both use and misinterpretation of the publicly available information on sex offenders. Using a unique dataset that tracks sex offenders in Hillsborough County, Florida, the results indicate that after a sex offender moves into a neighborhood, nearby housing prices fall by 2.3% ($3500 on average). However, once a sex offender moves out of a neighborhood, housing prices appear to immediately rebound. Surprisingly, these price impacts do not appear to differ in areas near high risk offenders labeled as “predators.”     

Income taxes and urban spatial structure

This paper examines the impact of an income tax in a monocentric city where households equilibriate their allocation of time between work, commuting, and leisure. An increase in the income tax rate lowers the implicit value of time, and hence transportation costs. “Compensated equilibrium” comparative statics analysis shows that under certain conditions, this results in a larger, more dispersed urban area, with lower land rents at the city center and less population within any given distance from the center. The welfare effect of an income tax rate change is also studied, and an expression for the marginal excess burden is derived. The income tax produces welfare losses both because it induces substitution in favor of leisure and in favor of travel—the latter accompanied by excessive spatial dispersion and consumption of space. The marginal excess burden depends not only on the compensated demand elasticity for leisure, but also on that for space. Finally, the problem of benefit measurement for transportation projects in this tax-distorted spatial economy is examined. Benefit measures should be deflated to adjust for the fact that further transportation improvements lead to reduction of land use intensity, exacerbating the problem of spatial resource misallocation in an already excessively dispersed urban area.     

A Simple Test for Convergence of Metropolitan Income in the United States

The prevalent test for income convergence used in many recent studies of convergence across spatial economic units in the United States is to use a regression equation in which income growth is regressed against the initial level of income (this is known as β convergence). That method, however, has been crtiticized as an instance of Galton's fallacy of regression. We devise a simple test for the income β-convergence hypothesis which does not suffer from “Galton's fallacy” and apply it to all of the metropolitan areas of the United States for the period 1969–1995. For the test we use two income measures: per capita personal income and average wages. Our results conclusively support convergence of per capita personal income and of wage per worker for metropolitan areas in the United States. We also test for σ convergence, the hypothesis of diminishing dispersion in income among places over time, and find no support for the hypothesis.     

Household migration: theoretical and empirical results

A consumption theory of migration is developed which supplements the traditional job search models. Migration, seen as an equilibrating reaction to an initially non-optimal location, is analyzed using standard demand theory. When one groups goods into those that are traded between areas and those that are not (weather, racial discrimination, crime rates, etc.) it is clear that only changing demands for the non-traded goods will result in changing optimal locations (assuming supplies are fixed). Illustrating, an increase in family income might lead to an increased demand for the non-traded good “personal safety.” This might result, for example, in the substitution (through migration) of a lower crime suburban neighborhood for a higher crime central city neighborhood.An empirically testable implication of the model is that the probability of migration should be positively related to changes in the absolute value of those exogenous variables which lead to altered demands for non-traded goods. This and other hypotheses were examined using cross-sectional data in a nonlinear maximum likelihood (probit) regression analysis. The results strongly support the model and its implications.     

Understanding gentrification: an empirical analysis of the determinants of urban housing renovation

The “back-to-the-city” phenomenon presented an unpredicted countercurrent in the prevalent tide of suburbanization, and this process of upper-income resettlement in the inner city has been thoroughly analyzed in the urban economic literature. Housing renovation, a process that always accompanies gentrification and constitutes a significant portion of residential housing investment, has been studied much less. Contrary to the expectation that “location matters,” the existing empirical studies have concluded that most neighborhood amenities and structural attributes are insignificant as determinants of renovation. Using a detailed parcel-level data set that documents all residential renovation activity in Chicago between 1995 and 2000, this paper establishes that the characteristics of a building and its neighborhood do indeed influence the likelihood that it will be renovated.     

Women’s position in the household

Women’s labor market position has changed dramatically during the past century, while changes in the home have followed at a slower pace. Marriage and motherhood and responsibilities for most household labor still affect women’s choices about whether and under what conditions to work for pay. The U.S. government does not have a coherent set of policies about work/family life, lagging far behind Canada and western Europe. Employer policies can be helpful but are more available to workers at higher income levels and are more likely to be used by women than men. Thus, women continue to make “choices” under seriously constrained conditions.     

Tiebout choice and residential segregation by race in US metropolitan areas, 1980–2000

This article examines the link between local government fragmentation, or “Tiebout choice,” and segregation between black and white residents. As suggested by Tiebout [Tiebout, C., 1956. A pure theory of local public expenditures. Journal of Political Economy 64, 416–424.], fragmented local governance structures may encourage households to vote with their feet and sort into communities based on their willingness to pay for local public services. This outcome has been well documented. The nuance explored here is that, if the demand for local public services varies by race or if households have preferences for neighbors with specific racial characteristics, local government fragmentation may foster an increase in residential segregation by race across neighborhoods and jurisdictions. Results from metropolitan-level regressions suggest that increased Tiebout choice is associated with increases in black–white residential segregation within US metropolitan areas. Comparable results are obtained from household-level estimates, where the black racial composition of a household's census tract of residence is regressed on household-level controls and racially stratified measures of Tiebout choice. Results from both approaches suggest that a 10% increase in Tiebout choice would increase neighborhood segregation by no more than 1%, while segregation across jurisdictions would increase by between 4% and 7%.     

The block metric and the law of markets

The “Law of Markets” as originally stated by Fetter and amended by Hyson and Hyson is based on the assumption that the transportation of goods is along a line segment from firm to customer. In many situations the assumption that transportation is along a block-like network of roads is a better approximation of reality. In this paper we establish the “law of markets” appropriate to the block metric. We discover that with such a metric there exist significant discontinuities in a firm's demand functions and we argue that these discontinuities have important implications for the types of competitive strategies open to firms.     

Does neighborhood income mix affect earnings of adults? New evidence from Sweden

This paper contributes to the literature on obtaining unbiased estimates of neighborhood effects, explored in the context of a centralized social welfare state. We employ a longitudinal database comprised of all working age adults in metropolitan Sweden 1991–1999 to investigate the degree to which neighborhood income mix relates to subsequent labor incomes of adults and how this relationship varies by gender and employment status. We control for unobserved, time-invariant individual characteristics by estimating a first-difference equation of changes in average incomes between the 1991–1995 and 1996–1999 periods. We further control for unobserved time varying characteristics through an analysis of non-movers. These methods substantially reduce the magnitude of the apparent effect of neighborhood shares of low-, middle- and high-income males. Nevertheless, statistically and substantively significant neighborhood effects persist, though relationships are nonlinear and vary by gender and employment status. Males who are not fully employed appear most sensitive to neighborhood economic mix in all contexts.     

Household production, full consumption and the costs of children

Recent work criticises both the logic and relevance of the theoretical basis of the approach to estimating the costs of raising children adopted in much of the economics literature. This tends to be restricted purely to models in which the household members consume market goods with given household income. The “costs of children” are perceived essentially as market consumption costs. This ignores the fact that an important, possibly preponderant element of child costs takes the form of parental time, which must be diverted from alternative uses such as market work, other household production activities, and leisure, to care for children. The studies also ignore the question of the differential incidence of child costs on adult members of the household. In this paper, we first of all argue that a satisfactory theoretical approach to modelling child costs must simultaneously incorporate an “individualistic” formulation of the household and a formal treatment of household production. We then provide such a model. Using data from a time use survey we estimate specialised versions of the model for families with two children and use the results to derive the intra-family distribution of resources and implied child-rearing costs.     

Analysis and design of focused demand chains

The paper describes the evolution of focused demand chains over an extended period of time as a major UK lighting manufacturer has sought to remain an international player in a fast changing business environment. Analysis and design procedures make use of the concepts of Wickham Skinner and Marshall Fisher to answer the strategic questions “what facilities are required and how should they be laid out to enable the necessary focused demand chains?” and to answer the tactical question “which focused demand chain is appropriate for this product?” The case study then details how the company has been transformed from operating within a traditional supply chain to driving change via the engineering of four focused demand chains. The paper concludes with a comparison of operations enablers, customer choice, and business performance metrics covering the transition period culminating in the current focused demand chain scenario. By matching products to the appropriate value stream there is a consequential reduction in product development time of 75%; manufacturing costs reduction of up to 27%; and up to 95% reduction in delivery lead times.     

Residential preferences,neighborhood filtering and neighborhood change

The structure of households' residential preferences are investigated employing sale prices as a preference ranking over “bundles” of housing characteristics including structural, neighborhood, and local public sector characteristics. Neighborhood characteristics, in particular income class, are found to have a significant influence on preference rankings. However, the results also suggest that short run changes in rank are significantly affected by racial change.     

Location and housing demand

William Alonso's model of the demand for housing and location in the monocentric city is one of two pre-eminent models of its type. The purpose of this article is to provide the detailed analysis and the comparative statics of the Alonso model. The complexity of the analysis is seen to derive from the nature of the constraint, which is nonlinear and has slopes which vary with income. A new result is that housing and closeness can be inferior even when they are taste normal. The empirical direct variation of income with distance is explained, consistent with the finding that income increase has indeterminate effects on location and housing demand. The Alonso specification is shown to be superior to others.     

Income Distributive Effects in the Brazilian Economy

Studies aiming to evaluate the structural distribution of economic impacts usually treat consumption demand as an exogenous variable. In this case, the Leontief matrix multiplier lacks the multiplier process via the consumption function that one customarily finds in a Keynesian model. To regard the consumption as a fictitious production activity is not the appropriate procedure. Instead, the Keynesian consumption function is introduced at a disaggregated level. For that, a matrix multiplier was formulated in order to combine Leontief's propagation process with the Keynesian propagation process. This matrix includes the effects of endogenous changes in consumption demand. Based on the present production structure in Brazil, the results show how the propagation effect directs the induced income towards capitalists, depriving wage earners. The model also allows for evaluation of diverse effects of the propagation process according to income and consumption coefficients by sector.     

Neighbors’ income distribution: economic segregation and mixing in US urban neighborhoods

The paper describes within-neighborhood economic segregation in US metropolitan areas in 1985 and 1993. It uses the neighborhood clusters of the American housing survey, standardized by metropolitan area income and household size, to explore income distribution within neighborhoods at a scale much smaller than the census tract (a representative sample of households or ‘kernels’ and their 10 closest neighbors). Joint and conditional distributions portray neighbors’ characteristics conditional on the kernel’s housing tenure, race, and income. The paper documents both significant income mixing in the majority of US urban micro neighborhoods and the extent of income mixing within neighborhoods of concentrated poverty.     

Residential change and economic choice behavior

Theory of economic choice behavior is applied to construct a dynamic model of residential change at the neighborhood scale. The utility of a neighborhood depends on the investor's decisions, and two different specifications are considered. In the first, these decisions result from a strategy fixed a priori. The model can then be easily studied. The second is concerned with the simplified case of a single neighborhood and supposes that the housing price and quality are dependent on maintenance expenditures viewed as a function of the number of individuals living in the neighborhood. It is then shown how different processes of residential change can be generated by purely economic factors.     

A Housing Career Perspective on Risk

The main question analyzed in the article is how uncertainty in the asset price of owner-occupied housing capital affects user costs and consequently housing demand. The analysis is performed within the framework of a dynamic model of planned housing careers. Owner-occupied housing has a dual role as both an asset and a consumption good—a consumption good both now and in the future. By holding owner-occupied housing capital, the risk associated with future purchase of housing can be reduced. Taking account of this, it is shown that the risk premium in the user cost is negative for consumers on a sufficient increasing path of future housing consumption. Hence, the demand for owner-occupied housing of a risk-averse consumer can be increasing in asset price volatility. This result is contrary to the “conventional wisdom” in housing economics and can be identified only within an analytical framework that takes account of the dynamic aspects of housing market behavior.     

Siting noxious facilities: A siting lottery with victim compensation

This paper proposes a scheme to facilitate the siting of noxious facilities. A regional government announces that it will (a) use a lottery to choose a site for a noxious facility and (b) transfer income from tenants to host-city landowners to at least partly offset the effects of the noxious facility on local property values. The government will hold the lottery only if all citizens agree, in advance, to abide by the resulting siting decision. The lottery approach is superior to the conventional approach to siting (advance notification) in the sense that the lottery approach achieves unanimous support for the siting decision with less compensation. The compensation scheme can be financed with a regionwide tenant tax or a tax on residents in the nonhost city. For “small” compensation programs, the nonhost tax is superior to the regional tax.