A multiplicative model for efficiency analysis

This paper develops theory and algorithms for a “multiplicative” Data Envelopment Analysis (DEA) model employing virtual outputs and inputs as does the CCR ratio method for efficiency analysis. The frontier production function results here are of piecewise log-linear rather than piecewise linear form.     

The integration of a logistical decision-making framework into nonprofit marketing

Marketing practitioners in for-profit-making settings are typically well acquainted with what logistical decisions can do for a marketing program and what marketing constraints can do to a logistics system. For the most part, however, the conceptual tansfer from a product-oriented firm to a service-producing organization has been lacking and obviously not made in non-profit marketing situations. This paper examines these areas and presents a creative expansion of the logistics decision-making area into nonprofit marketing. Hopefully, this setting will encourage others to investigate non-profit areas and, in particular, the interrelationships involved in the logistics area.     

Behavioral economics: implications for regulatory behavior

Behavioral economics (BE) examines the implications for decision-making when actors suffer from biases documented in the psychological literature. This article considers how such biases affect regulatory decisions. The article posits a simple model of a regulator who serves as an agent to a political overseer. The regulator chooses a policy that accounts for the rewards she receives from the political overseer—whose optimal policy is assumed to maximize short-run outputs that garner political support, rather than long-term welfare outcomes—and the weight the regulator puts on the optimal long run policy. Flawed heuristics and myopia are likely to lead regulators to adopt policies closer to the preferences of political overseers than they would otherwise. The incentive structure for regulators is likely to reward those who adopt politically expedient policies, either intentionally (due to a desire to please the political overseer) or accidentally (due to bounded rationality). The article urges that careful thought be given to calls for greater state intervention, especially when those calls seek to correct firm biases. The article proposes measures that focus rewards to regulators on outcomes rather than outputs as a way to help ameliorate regulatory biases.     

International Propagation of the Credit Crisis: Lessons for Bank Regulation*

The authors use a large sample of non‐U.S. banks to examine the origins and spread of the 2007–2009 crisis. Using both stock market and structural variables, they test whether the effects of the crisis on individual banks are better explained by crisis models or by the VaR‐type analysis of the Basel system. The latter emphasizes risk weightings for individual assets while ignoring linkages that could leave banks exposed to systemic shocks. Consistent with crisis models, the authors find that a small set of pre‐crisis measures of a bank's international linkages, leverage, and the fragility of its liability structure does a good job of discriminating between banks that suffered a large impact and those that did not. (Indeed, these measures explain almost 50% of the differences among banks' stock returns during the crisis period, and almost 40% of the changes in the variability of those returns.) The authors also provide evidence of both a direct linkage among banks' stock returns and an indirect linkage that could reflect either linkages in the real economy or common demands by investors for liquidity. The authors run a “horse race” that demonstrates that simple measures of book leverage were better predictors of bank performance than the Basel capital ratios. They find that banks with lower Basel risk weightings prior to the crisis proved, on average, to be more exposed to the crisis. The authors' explanation is that banks with lower Basel risk measures tended to operate with higher leverage and more aggressive funding strategies, which in turn exposed them to greater crisis risk (even as they conformed to the letter of the Basel system in terms of asset risk measures). Finally, the authors find no evidence that substandard governance was a separate contributing factor to crisis exposure. Banks with substantial international business that were exposed to systemic shocks had high governance scores.     

A synthesis of homelessness in South Africa: A rapid critical appraisal

Homelessness in South Africa requires collaborative research. Social, political, cultural and economic factors that cause homelessness must be considered to develop a common definition and understanding of homelessness. South Africa’s social complexity and diversity make it challenging to construct available results into one conceptual framework, and this in turn complicates national policy implementation and role allocation. By means of a rapid critical appraisal of literature on homelessness in South Africa, researchers provide evidence to direct and structure contextual research pertaining to homelessness. Four themes transpire: conceptualisation; demography; roles and responsibilities of key stakeholders; and strategic policy and research issues. Researchers caution that the findings are not generalisable, because of the rapid nature of the appraisal and possible selection bias of the literature. Measures of validity were used to ensure that the study accomplished its purpose through the key results and to ensure that the results are a true reflection of available evidence.     

A response to the critiques of DEA by Dmitruk and Koshevoy, and Bol

We here critique the articles by Dmitruk & Koshevoy (1991, J Econ Theory 55:121–144) and by Bol (1986, J Econ Theory 38:380–385) by showing how to solve the examples they erected to show the non-existence of functions for evaluating performance efficiencies in DEA. We also show that functions satisfying these criteria—and other important criteria as well—were already available prior to the publications of D&K and by Bol and have since been greatly extended to increase the power and scope of DEA.

How Prepared was Australia for International Financial Reporting Standards? The Case of Listed Firms

We measure the preparedness of listed firms for international financial reporting standards (IFRS) by changes in explanations from Australian GAAP to IFRS between the half-year and annual accounts. About one-third of sample firms changed their explanations for earnings, cashflows or equity by averages of about −7%, 67% and 3% respectively. Most changes are less than 5% for earnings and equity, and tax is the item most commonly revised. More profitable firms and firms with more reconciling items are most likely to change an explanation. In a telephone survey of chief financial officers, 70% revealed that the change followed an incorrect application of an accounting rule in the half-year accounts.     

Predictive spatial network analysis for high-resolution transport modeling,applied to cyclist flows,mode choice,and targeting investment

Betweenness is a measure long used in spatial network analysis (SpNA) to predict flows of pedestrians and vehicles, and more recently in public health research. We improve on this approach with a methodology for combining multiple betweenness computations using cross-validated ridge regression to create wide-scale, high-resolution transport models. This enables computationally efficient calibration of distance decay, agglomeration effects, and multiple trip purposes. Together with minimization of the Geoffrey E. Havers (GEH) statistic commonly used to evaluate transport models, this bridges a gap between SpNA and mainstream transport modeling practice. The methodology is demonstrated using models of bicycle transport, where the higher resolution of the SpNA models compared to mainstream (four-step) models is of particular use. Additional models are developed incorporating heterogeneous user preferences (cyclist aversion to motor traffic). Based on network shape and flow data alone the best model gives reasonable correlation against cyclist flows on individual links, weighted to optimize GEH (r² = 0.78, GEH = 1.9). As SpNA models use a single step rather than four, and can be based on flow data alone rather than demographics and surveys, the cost of calibration is lower, ensuring suitability for small-scale infrastructure projects as well as large-scale studies.