Reformulating US food aid policy for development

One of the most fundamental questions emerging from recent scrutiny of US foreign assistance efforts is whether the PL 480 food aid programme is making a significant, positive contribution to the economic and social development of poorer nations. Despite the validity of certain past criticisms of food aid as a development vehicle, it is the premise of this paper that US food assistance CAN have a positive developmental impact but that this will require reformulation of policy goals, redesign of programme components, and reorganization of administrative structures. Seven basic policy and programme design questions are addressed herein: What should be the goals of food aid? Who should receive food aid? How much aid should be given? Which kind of food should be given? Under what terms should food aid be given? What delivery systems should be used? How should the aid effort be organized? It is argued that the current (but temporary) respite from serious food deficits in many developing countries has provided an ideal opportunity for the US Government to reevaluate the current PL 480 programme and to incorporate the above concerns into a rational and comprehensive, developmental food aid policy.     

Interest Rate Pass‐through in Malawi: Implications for the Effectiveness of Monetary Policy

This study investigates the interest rate pass‐through in Malawi and its implications on monetary policy effectiveness. Using the cost‐of‐funds approach and monthly data from 2009 to 2015, an autoregressive distributed lag model is fitted. Results show that there is a near complete pass‐through to the lending rate but not the savings rate. The magnitude of the pass‐through is relatively higher under smaller banks. The results suggest that the structure of the banking industry matters. Market power is important in understanding the variation in lending and savings rates across banks. Overall, short‐term rates as operating targets are consistent with inflation targeting in Malawi.     

The welfare implications of increasing disability insurance benefit generosity

In order to evaluate whether workers are over- or under-insured through the Disability Insurance (DI) program, we develop a framework that allows us to simulate the benefits as well as the costs associated with marginal changes in payment generosity from a representative cross-sectional sample of the population. Under the assumption that individuals are reasonably risk averse, we find that the typical worker would value increased benefits somewhat above the average costs of providing them. However, whether the benefit increases tend to lower or raise utility when we average across all individuals in our sample is sensitive to assumptions that affect the relative marginal utility of income to disabled individuals.     

The HAMP NPV Model: Development and Early Performance

The foreclosure crisis that began in 2008 triggered the need for new approaches to treat distressed mortgages. A key component of the Obama Administration's Home Affordable Modification Program (HAMP) was the development of a standardized Net Present Value (NPV) Model to identify troubled loans that were value‐enhancing candidates for payment‐reducing modifications. This article discusses the development of the HAMP NPV Model, 1 its purpose and some important constraints that dictated its structure and limitations. We describe the structure and the estimation of the model in detail. We also describe the responsiveness of the model to key characteristics, such as loan‐to‐value and credit score, as well as provide new evidence on the relationship between HAMP modification performance and key borrower and modification characteristics. The article concludes with a discussion of model limitations and the future role of systematic loan modification using NPV analysis.     

A Tutorial on Multilevel Survival Analysis: Methods,Models and Applications

Data that have a multilevel structure occur frequently across a range of disciplines, including epidemiology, health services research, public health, education and sociology. We describe three families of regression models for the analysis of multilevel survival data. First, Cox proportional hazards models with mixed effects incorporate cluster‐specific random effects that modify the baseline hazard function. Second, piecewise exponential survival models partition the duration of follow‐up into mutually exclusive intervals and fit a model that assumes that the hazard function is constant within each interval. This is equivalent to a Poisson regression model that incorporates the duration of exposure within each interval. By incorporating cluster‐specific random effects, generalised linear mixed models can be used to analyse these data. Third, after partitioning the duration of follow‐up into mutually exclusive intervals, one can use discrete time survival models that use a complementary log–log generalised linear model to model the occurrence of the outcome of interest within each interval. Random effects can be incorporated to account for within‐cluster homogeneity in outcomes. We illustrate the application of these methods using data consisting of patients hospitalised with a heart attack. We illustrate the application of these methods using three statistical programming languages (R, SAS and Stata).     

The Theory and Evidence on Real Estate Financial Decisions: A Review of the Issues

There has developed a growing body of literature, both theoretically and empirically based, on real estate financial decisions. Despite these advances, there are a number of important issues that remain unanswered. The purpose of this paper is to provide a review and analysis of where research on real estate financial decisions has been, where it stands today, and where it is likely to be headed in the future. Some of the unresolved issues in real estate investment analysis are also discussed. The hope is that this review will provide the stimulus for solving some of these complex issues.     

Social responsibility and corporate reputation: The case of the Arthur Andersen Enron audit failure

We examine the influence of social responsibility ratings on market returns to Arthur Andersen (AA) clients following the Enron audit failure. Chaney and Philipich (2002) found that AA’s loss of reputation resulted in negative market returns to AA clients following the Enron audit failure. Proponents of social responsibility argue that social responsibility can improve the reputation of the firm, while detractors argue that social responsibility expenditures are a poor use of shareholder money. If social responsibility sends a signal to investors regarding the reputation/ethics of management, social responsibility could mitigate the negative returns to AA clients following the Enron audit failure. Using a matched sample of AA and non-AA firms, we do not find evidence that social responsibility mitigated the negative returns to AA clients following the Enron audit failure. Our results are inconsistent with claims that social responsibility can burnish a firm’s reputation in a time of crisis and with prior research indicating a positive relationship between social responsibility and market value.