A rapid survey technique for ‘Appropriate technology’ ecological indicators in developing urban areas

For planners, providers and evaluators of vital services in urban areas of developing nations, the availability of sufficient environmental data is oftentimes a major stumbling block. The authors here present a low-cost, rapid survey technique for gathering information on the urban ecology. The effort is developed from and validated in a research program correlating urban neighborhood (barrio) characteristics with infant and child mortality in Cali, Colombia. The technique establishes a minimal set of indicators exhibiting variance with respect to other social indices by utilizing the combined results of a random sample questionnaire and a secondary data set gathered from various public sources. The subset of efficient indicators of quality of life is derived from the total data set by utilizing a system of ridit weights.     

Measuring Ontario's increasing housing affordability problem

This empirical study measures the prevalence and incidence of housing affordability problems in Canada in 1972, 1976, and 1983. It shows the affordability problem has not been improved by the major effort the Canadian governments made during the 1970s. Rent controls have not been adequate in reducing affordability problems. Moderate intervention in the housing market are not enough to help low income households attain affordable housing. The problem's resolution may require a major effort to stimulate housing supply, and by direct government involvement, adjustment in creating new methods and institutions for building and delivering housing services. Housing affordability problems will remain unresolved in the absence of major income redistribution programs.     

Gender and migration on the labour market: Additive or interacting disadvantages in Germany?

Despite substantial differences in labour market attainment according to gender and migration status, gender and ethnic differences in labour market behaviour are most often studied separately. In contrast, this study describes and analyses interactions between gender, ethnic background and immigrant generation with regard to labour market participation, part-time work, and occupational status. The double comparison aims to reveal whether gender gaps in these labour market outcomes among the majority population generalise to ethnic minorities. Moreover, we ask whether variation in gender gaps in labour market behaviour follows the patterns in migrants’ origin countries, and whether gender gaps show signs of intergenerational assimilation. Our heterogeneous choice and OLS regressions of 2009 German Microcensus data reveal considerable variation in gender gaps in labour market behaviour between East and West Germany, across ethnic groups and across generations. Intergenerational comparisons show that most ethnic minorities assimilate towards German patterns of gendered labour market attainment.     

Distributions with Generalized Skewed Conditionals and Mixtures of Such Distributions

Mixtures of skewed distributions (univariate and bivariate) provide flexible models. An alternative modeling approach involves distributions with skewed conditional distributions and mixtures of such distributions. We consider the interrelationships between such models. Examples are provided to show that several skewed distributions already considered in the literature can be viewed as having been constructed via a combination of mixing and skewing.     

Asymptotics of improved generalized moment estimators for spatial autoregressive error models

Abstract

This article considers linear models with a spatial autoregressive error structure. Extending Arnold and Wied (2010) Arnold, M., Wied, D. (2010). Improved GMM estimation of the spatial autoregressive error model. Econ. Lett. 108:65–68.[Crossref], [Web of Science ®] , [Google Scholar], who develop an improved generalized method of moment (GMM) estimator for the parameters of the disturbance process to reduce the bias of existing estimation approaches, we establish the asymptotic normality of a new weighted version of this improved estimator and derive the efficient weighting matrix. We also show that this efficiently weighted GMM estimator is feasible as long as the regression matrix of the underlying linear model is non stochastic and illustrate the performance of the new estimator by a Monte Carlo simulation and an application to real data.     

The height of two types of generalised Motzkin paths

Consider Motzkin paths which are lattice paths in the plane starting at the origin, running weakly above the x-axis and after n   unit steps returning at the point (n,0)$(n,0)$. The allowed steps are the up and down steps (1,1)$(1,1)$ and (1,−1)$(1,-1)$ respectively and certain horizontal steps. We consider two types of horizontal steps that have attracted recent attention in the literature. First, we consider unit horizontal steps (1,0)$(1,0)$ coloured with k colours, secondly, we look at paths where the horizontal steps are of length k, for a non-negative integer k. Using generating functions, we study the sum of heights of such paths of size n. With the use of the Mellin transform, we find asymptotic expressions for the mean heights as n tends to infinity.     

Editorial Statement

A recently developed statistical model, called Bayesian vector autoregression, has proven to be a useful tool for economic forecasting. Such a model today forecasts a strong resurgence of growth in the second half of 1985 and in 1986.     

Unmet needs at the end of life: perceptions of hospice social workers

Among persons at the end of life, it is important to understand whether the needs of patients are being adequately addressed. In particular, in hospice settings where the emphasis is on comfort care and quality of life, we know little about the presence of unmet needs. The purpose of this study was to examine the experiences of hospice social workers in working with hospice patients who had unmet needs at the end of life. Surveys were mailed to hospice social workers (N = 212) in two Southeastern states with a response rate of 36%. Results revealed that hospice social workers perceived patients to experience a wide variety of unmet needs-more commonly at the time of admission than during subsequent patient interactions. The most common unmet need reported at both times was a decreased ability to participate in activities that make life enjoyable. In situations where unmet needs exist, social workers reported that the most common perceived reasons were patient- related psychosocial issues and family conflict/issues. Additionally, a variety of interventions were used to address unmet needs, but a large number of barriers appear to impact outcomes in the cases. Results suggest that hospice patients experience a number of unmet needs, many of which are potentially treatable problems and concerns. Hospice professionals must continue to seek ways to assess and intervene effectively with patients who have unmet needs.     

Policy Learning for Flood Mitigation: A Longitudinal Assessment of the Community Rating System in Florida

Floods continue to inflict the most damage upon human communities among all natural hazards in the United States. Because localized flooding tends to be spatially repetitive over time, local decisionmakers often have an opportunity to learn from previous events and make proactive policy adjustments to reduce the adverse effects of a subsequent storm. Despite the importance of understanding the degree to which local jurisdictions learn from flood risks and under what circumstances, little if any empirical, longitudinal research has been conducted along these lines. This article addresses the research gap by examining the change in local flood mitigation policies in Florida from 1999 to 2005. We track 18 different mitigation activities organized into four series of activities under the Federal Emergency Management Agency's (FEMA) Community Rating System (CRS) for every local jurisdiction in Florida participating in the FEMA program on a yearly time step. We then identify the major factors contributing to policy changes based on CRS scores over the seven-year study period. Using multivariate statistical models to analyze both natural and social science data, we isolate the effects of several variables categorized into the following groups: hydrologic conditions, flood disaster history, socioeconomic and human capital controls. Results indicate that local jurisdictions do in fact learn from histories of flood risk and this process is expedited under specific conditions.     

Underwriting and Calls of Convertible Bonds*

We model convertible bond calls under asymmetric information where, unlike Harris and Raviv (1985), we consider a nonzero call price and a call notice period. In the model, the use of underwriters conveys negative information. Consequently, the stock price decline is greater for underwritten calls than for nonunderwritten calls. Furthermore, underwritten calls are made earlier and when the conversion option is less deep in the money. Underwriting commissions and the stock price decline associated with a call are negatively related to the extent that the conversion option is in the money before the call. Empirical evidence in this paper and Singh, Cowan, and Nayar (1991) are consistent with the model's predictions.