The Impact of Automated Reminders on Credit Outcomes: Results from an Experimental Pilot Program

This study evaluates the impact of an automated reminder program designed to help credit counseling consumers manage their payment obligations and financial goals. Credit counseling consumers were randomly assigned to receive reminders linked to their financial goals and payment obligations for one year after an initial credit counseling session. We find that consumers offered reminders were 21% less likely than the control to experience severe (60+ day) payment delinquencies and were 12% less likely to experience a 30+ day delinquency. At the same time, these consumers saw a 10.5 point increase in credit scores relative to the control group. There were no significant impacts on total credit card balances or installment debt levels. This analysis provides promising evidence that automated reminders can provide an important complement to traditional credit counseling when it comes to improving consumers' credit profiles and does so at a fairly low cost.     

Lies,damned lies and statistics: the accuracy of survey responses

That survey research is error prone is not a new idea and different varieties of non-sampling error have been investigated in the literature as well as consideration being given in many statistics textbooks to the issue of sampling error. The paper here considers research upon corporate environmental reporting. It compares information provided by corporate environmental reports with information that survey respondents claim their organization’s environmental report contains. This enables the accuracy of the claims to be assessed. Consideration is given to two different industries the Water industry and the Energy industry. Errors due to inaccurate reporting by survey respondents are shown to be relatively infrequent and respondents appear just about as likely to claim they report information that they do not, in fact, report as to fail to indicate that they report information that is, in fact, actually reported.     

Who are the world's most successful companies?

It seems that everybody wants to know which companies are the most successful. To help throw light on the issue, and to do so more reliably than the plethora of league tables and charts produced by most business magazines, the London Business School have teamed up with The Economist to compile an assessment of the top performers of the 1980's.     

Collective strategies for improving environmental performance: A case study of the biotechnology industry

This paper examines the potential contributions of institutional theory and the collective strategies framework to assist managers in emerging industries in developing better means of addressing societal concerns. Lack of understanding and difficulties in communication between companies in the forefront of new technology developments and a society that is concerned about the environment have led to many of the problems facing the biotechnology industry. Measures intended to protect the environment from potential adverse effects have frequently restricted activities in the new biotechnology field, even though scientists are themselves convinced of the safety and control they exert over their new technologies. Collective strategies can be instrumental in stabilising certain aspects of the environment. Proper selection of issues and coordinated action can be helpful to all industry participants by informing public perceptions and government regulations and help insure that major environmental trends will evolve in a manner beneficial to all concerned.     

Closing small open economy models

The small open economy model with incomplete asset markets features a steady-state that depends on initial conditions and equilibrium dynamics that possess a random walk component. A number of modifications to the standard model have been proposed to induce stationarity. This paper presents a quantitative comparison of these alternative approaches. Five different specifications are considered: (1) A model with an endogenous discount factor (Uzawa-type preferences); (2) a model with a debt-elastic interest-rate premium; (3) a model with convex portfolio adjustment costs; (4) a model with complete asset markets; and (5) a model without stationarity-inducing features. The main finding of the paper is that all models deliver virtually identical dynamics at business-cycle frequencies, as measured by unconditional second moments and impulse response functions. The only noticeable difference among the alternative specifications is that the complete-asset-market model induces smoother consumption dynamics.     

Comprehensive assessment of patients with irritable bowel syndrome with constipation and chronic idiopathic constipation using deterministically linked administrative claims and patient-reported data: the Chronic Constipation and IBS-C Treatment and Outcomes Real-World Research Platform (CONTOR)

Abstract

Aims

To characterize a US population of patients with irritable bowel syndrome with constipation (IBS-C) or chronic idiopathic constipation (CIC) using CONTOR, a real-world longitudinal research platform that deterministically linked administrative claims data with patient-reported outcomes data among patients with these conditions.     

Grundsteuerreform in Deutschland: eine unendliche Geschichte?

For many years property tax in its current form has been exhibiting increasing problems. There are three reform models currently being discussed that differ in their respective tax bases using either property values or areas, or both. They create different individual tax burdens and amounts of tax revenue in each state compared to the current property tax amount which alters local tax capacity within the fiscal equalisation system among the 16 states. The calculations on regional local tax revenue prove that the value-based models which promote greater equity are being neglected by the financially strong states. This is because they would be forced to provide higher transfer payments to the financially weaker states.     

The promise of creative/participatory mapping practices for sport and leisure research

This paper provides an introduction to the concept of creative participatory mapping of human–environment relations. It is identified that within human geography, artistic practice and urban design, biomapping and similar community mapping tools and methodologies are increasingly being embraced. However, within sports and leisure research the concept has yet to gain academic attention. Consequently, this paper provides a basis for thinking about how researchers and research participants in the fields of sport and leisure research might benefit if mapping human–environment relations was to be embraced and integrated into research design practices. Referencing recent turns to studying space and affect within sport and leisure studies, mapping is argued to offer innovative methodological opportunities for studying how people relate to and understand the urban environments in which they practice physical activity and leisure forms of embodiment. The paper concludes by arguing that, along with offering up new avenues for conceptual research, mapping human–environment relations, if readily embraced, can go a long way to fostering community engagement in: the identification of (un)safe urban routes for sport/leisure practice (e.g. running, cycling), the development and site identification of health/physical activity initiatives and the design of urban landscapes of sport/leisure.     

Nowcasting South African gross domestic product using a suite of statistical models

Given lags in the release of data, a central bank must ‘nowcast’ current gross domestic product (GDP) using available quarterly or higher frequency data to understand the current state of economic activity. This paper uses various statistical modelling techniques to draw on a large number of series to nowcast South African GDP. We also show that GDP volatility has increased markedly over the last 5 years, making GDP forecasting more difficult. We show that all the models developed, as well as the Reserve Bank's official forecasts, have tended to overestimate GDP growth over this period. However, several of the statistical nowcasting models we present in this paper provide competitive nowcasts relative to the official Reserve Bank and market analysts' nowcasts.