Direct Estimation of Equivalence Scales and More Evidence on Independence of Base

We explore a direct approach to estimating household equivalence scales from income satisfaction data. Our method differs from previous approaches to using satisfaction data for this purpose in that it can be used to directly fit and evaluate closed‐form and non‐parametric equivalence scales of any desired form. Its flexibility makes it easy to consider specific aspects such as income dependence or more specific information on household composition (such as whether household members live in a partner relationship). We estimate and evaluate a number of scales used in the literature. If the equivalence scale is assumed to be independent of income and to depend only on household size, we do not reject the validity of the widely used square‐root scale at conventional significance levels. We also test GESE and GAESE restrictions (Donaldson and Pendakur, 2003, 2006) and investigate in detail to what extent household economies of scale depend on income. Our results suggest that the income dependence differs fundamentally across household types (rising economies of scale for ‘family’ households, falling economies of scale for multi‐adult households without children and no income dependence for other households).     

Family size and social utility: income distribution dominance criteria

"This paper generalizes previous results on income distribution dominance in the case where the population of income recipients is broken down into groups with distinct utility functions. The example taken here is that of income redistribution across families of different sizes. The paper first investigates the simplest assumptions that can be made about family utility functions. A simple dominance criterion is then derived under the only assumptions that family functions are increasing and concave with income and the marginal utility of income increases with family size."     

Charitable giving expenditures and the faith factor

Using a permanent income hypothesis approach and an income-giving status interaction effect, a double hurdle model provides evidence of significant differences from the impact of household income and various household characteristics on both a household's likelihood of giving and its level of giving to religion, charity, education, others outside the household, and politics. An analysis of resulting income elasticity estimates revealed that households consider religious giving a necessity good at all levels of income, while other categories of giving are generally found to be luxury goods. Further, those who gave to religion were found to give more to education and charity then those not giving to religion, and higher education households were more likely to give to religion than households with less education. This analysis suggests that there may be more to religious giving behavior than has been assumed in prior studies and underscores the need for further research into the motivation for religious giving. Specifically, these findings point to an enduring, internal motivation for giving rather than an external, “What do I get for what I give,” motive.     

Economies of scale after deregulation in LTL trucking: a test case for the survivor technique

Early critics of motor carrier deregulation believed that the policy was unwise because strong economies of scale would lead to harmful market concentration, particularly in the industry's LTL segment. Using two methodologies, the survivor technique and the trans‐log cost function, this study finds that economies of scale do extend across the entire spectrum of firm sizes in LTL trucking. Long‐run average cost appears to decline mildly and at a diminishing rate with increases in firm size, however, such that any cost advantage for larger firms has been insufficient to eliminate new entry and competition from smaller rivals. As a result, after the first 20 years of deregulation, the corresponding increase in market concentration has also been mild. Moreover, the consistency of results from the two methodologies gives credibility to the survivor technique as an empirical method of identifying economies of scale. Copyright © 2008 John Wiley & Sons, Ltd.     

The distributional implications of tax and transfer programs in US

The distributional consequences of changes in tax laws and transfer programs in the United States are studied. Using detailed household income data from the Panel Study of Income Dynamics (PSID) from 1981–91, income inequality is measured for both pretax/transfer and post-tax/transfer definitions of household income. A new statistical methodology for assessing the impact of changes in taxes and transfers on the size distribution of income is utilized. Confidence intervals are constructed for various measures of inequality, and hypothesis tests are conducted to determine whether observed changes in the distribution of income due to taxes and transfers are statistically significant. Using decomposable measures of inequality, the implications of type of tax table used are investigated.     

A Conceptual Model of the Household's Housing Decision–Making Process: The Economic Perspective

At some stage in every household's family life cycle, the household is likely to make certain decisions with regard to its housing environment. Although the household's housing decisions essentially comprise the decision to move, and the selection of a new residence, the process from which these decisions are derived is very complex because varying circumstances could produce a multitude of different housing decisions. Due to the sheer complexity of the household's housing decision–making process, researchers have generally focused on individual decision–making stages rather than on the process as a whole. This paper therefore attempts to conceptualize the entire household housing decision–making process using theoretical concepts from the economic perspective, and then tests the conceptual model with empirical evidence drawn from the moving population within the multi–racial society in Singapore.     

Borrowing Constraints and Credit Demand in a Developing Economy

This paper investigates the determinants of credit demand in the presence of borrowing constraints in a developing economy. We model the determinants of observed debt for Chilean households while accounting for selection bias and the endogeneity of their income and specific household assets. Using a novel Chilean dataset, we estimate the relationship between household characteristics and consumer and mortgage debt. We find substantial differences in the nature of these relationships across the types of debt. For example, we find that the income elasticity for consumer debt is greater than 1 whereas for mortgage debt it is not. The results suggest the increased availability of credit, combined with the aging of the Chilean population, is likely to drastically change the distribution and level of Chilean debt. These findings are particularly relevant for other developing economies currently experiencing rapid income and debt growth. Copyright © 2015 John Wiley & Sons, Ltd.     

Industrial Effects of European Community Integration

This paper examines the potential effects of European Community (EC) integration. It develops a number of assumptions representing the EC directives, and introduces them in the INFORUM system of models, which links inter-industry dynamic macro-economic models of 10 countries. These assumptions include the deregulation of financial services, abolition of border controls, increased competition, economies of scale and opening up of government procurement. According to the system results, the European economies will experience higher economic growth and higher per capita income, with lower prices and higher labor productivity. It is expected that the rest of the world economies will not be affected significantly by the European integration. Finally, the integration process will generate diverse results across sectors in different countries.     

Efficiency, productivity, and scale economies in the U.S. property-liability insurance industry

The paper examines efficiency, productivity and scale economies in the U.S. property-liability insurance industry. Productivity change is analyzed using Malmquist indices, and efficiency is estimated using data envelopment analysis. The results indicate that the majority of firms below median size in the industry are operating with increasing returns to scale, and the majority of firms above median size are operating with decreasing returns to scale. However, a significant number of firms in each size decile have achieved constant returns to scale. Over the sample period, the industry experienced significant gains in total factor productivity, and there is an upward trend in scale and allocative efficiency. More diversified firms and insurance groups were more likely to achieve efficiency and productivity gains. Higher technology investment is positively related to efficiency and productivity improvements.     

Economies of scale and scope in French commercial banking industry

This paper presents estimations of economies of scale and scope in the French banking industry. Using a translog model of bank costs, the paper demonstrates the existence of economies of scale for French banks, particularly in what concerns operating costs. Economies of scale are observed in all classes of bank size. Results also suggest that cost subadditivity exists in the French banking industry.     

Poverty in America 1970–1990: who did gain ground? An application of stochastic dominance criteria employing simultaneous inequality tests in a partial panel

Atkinson ( 1987 ) proposed stochastic dominance criteria for analysing poverty which, under certain conditions, establish orderings of states for any poverty line and any poverty measure within given class, refocusing debate on the nature of the income distribution of the poor. Employing new empirical techniques, these criteria are implemented for the United States from 1970 to 1990 using the Panel Study of Income Dynamics. Results highlight the pivotal role of family size scale economies in consumption, indicate different experiences for white versus non‐white groups and suggest that optimism over the progress of the poor is not warranted. Copyright © 2003 John Wiley & Sons, Ltd.     

Estimation of collective household models with Engel curves

The structural consumer demand methods used to estimate the parameters of collective household models are typically either very restrictive and easy to implement or very general and difficult to estimate. In this paper, we provide a middle ground. We adapt the very general framework of [Browning, M., Chiappori, P.A., Lewbel, A., 2004. Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power, Boston College Working Papers in Economics 588] by adding a simple restriction that recasts the empirical model from a highly nonlinear demand system with price variation to a slightly nonlinear Engel curve system. Our restriction has an interpretation in terms of the behaviour of household scale economies and is testable. Our method identifies the levels of (not just changes in) household resource shares, and a variant of equivalence scales called indifference scales. We apply our methodology to Canadian expenditure data.     

Economies of scale for a state system of public school districts

A review of the different variables, school district samples, regression techniques and a priori assumptions utilized in recent studies clearly indicates that no standard model or set of procedures have been developed for the problems of economies of scale within the educational sector. Based on these studies and a brief discussion of the limitations of economies of scale models as a tool in policy planning, we present a generalizable model that can easily be applied to statistics now available in state departments of education to derive valuable new information about the existing cost-size relationships and opportunity costs that exist in a state system of public school districts. A recent application of the model in Oregon that illustrates its generalizability is described. An example of how economies of scale information might be used in policy planning and proposed district consolidations is also outlined.     

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.     

Pareto-improving income redistribution: expanding consumer access to the vaccines market

Economic theory has proved that income redistribution in imperfectly competitive markets can increase social welfare and lead to Pareto-improving situations. This paper shows that, under certain assumptions, self-financing tax subsidy schemes can have Pareto-improving effects also in a competitive framework. This result is achieved by exploiting external economies of scale, resulting in a decrease in price along with an increase in output. The case of the vaccines industry and World Health Organization initiatives are examined to illustrate the theoretical analysis.     

Income and Expenditure Switching Among the Impoverished During Structural Adjustment in India1

The impoverishment during 1991–1993 was largely a result of policy reforms. In the absence of income switching, the impoverishment would have been greater. The patterns of income switching differed among the three Indian states, viz. Andhra Pradesh, Maharashtra and Karnataka. Confining the analysis to household expenditure on food, medical care and education, however, little, if any, expenditure switching occurred. To some extent, the effects of household expenditure cuts were compounded by cuts in public expenditure. But, given the aggregate expenditure categories, there is a risk of overstating the effects on the poor. A more fundamental concern nonetheless remains. Given the acute deprivation of a large segment of the rural population, it is imperative that public provision of basic goods and services is strengthened. A case in point is the public distribution system for food (PDS). Despite the revamping, the benefits to the poor have not increased while the subsidy has. Short of drastic reforms, it is unlikely that the cost-effectiveness of the PDS will improve.     

Welfare comparisons of income distributions and family size: An individualistic approach

We investigate the problem of how to perform comparisons of income distributions across families of different sizes. We argue that social welfare ought to be computed as the average individual utility instead of the average household utility as in most known criteria. We provide dominance criteria which allow for some indeterminacy about the average optimal family size, by resorting to the bounded approach to dominance analysis proposed by Fleurbaey et al. (2003). Indeed, when differences in needs come from family size, a specific population allocation problem (how a population should be optimally divided over families for given resources) adds to the usual income allocation problem. Pro-family and anti-family stances are introduced in order to make explicit the choice of an optimal family size. An application to French data shows that shifting from the household to the individualistic point of view can substantially alter the outlook of dominance results.     

Household behavior under income uncertainty in a monocentric urban area

For a household living outside of but commuting to and from the CBD of an urban area and experiencing income uncertainty, housing consumption and location (distance from the CBD) are inversely related to the probability of unemployment and directly related to the level of unemployment compensation under fairly unrestrictive assumptions. Under more restrictive assumptions, it is found that these variables are inversely related to housing price and transportation costs. Finally, income compensation causes housing consumption and location to be directly related to the probability of unemployment and the level of unemployment compensation.     

The influence of residential accessibility on household trip-making

The purpose of this research is to examine both theoretical and empirical relationships between residential accessibility (defined here as the spatial distribution of urban travel destinations relative to a household) and aspects of travel-related behaviour such as a household's activity pattern, trip formation procedure, use of multidestination trip-making and expenditure of time on travel. Although prior research has been conducted on this topic the analysis presented here is innovative in that trip-making rates, use of multidestination trip-making and travel time expenditures are shown to be causally related to (and simple consequences of) household activity levels which are themselves leveraged by socio-economic factors. Recognition of this hierarchical causal structure promotes a conclusion that observed spatial variability in aspects of household trip-making behaviour are, for the most part, a consequence of the socio-economic spatial structure of urban areas, and are not due to residential accessibility conditions.     

A computable market equilibrium model with markets for transferable discharge permits

This paper presents a mathematical programming model for numerically analyzing the impacts of a transferable discharge permit (TDP) system on resource allocation and the distribution of income in a competitive equilibrium setting. Key assumptions of the model are linear household commodity demands, Leontief production functions requiring both primary and produced factors, fixed primary factor supplies and linear pollution dispersion processes. A basic model is presented with discussion of how it may be modified to examine alternative TDP configurations. In addition, there is also a discussion of relationships between key primal and dual variables and of issues involved in actual numerical implementation of the model.