A study of several new and existing tests for heteroscedasticity in the general linear model1

Several optimum non-parametric tests for heteroscedasticity are proposed and studied along with the tests introduced in the literature in terms of power and robustness properties. It is found that all tests are reasonably robust to the Ordinary Least Squares (OLS) residual estimates, number and character of the regressors. Only a few are robust to both the distributional and independence assumptions about the errors. The power of tests can be improved with the OLS residual estimates, the increased sample size and the variability of the regressors. It can be substantially reduced if the observations are not normally distributed, and may increase or decrease if the errors are dependent. Each test is optimum to detect a specific form of heteroscedasticity and a serious power loss may occur if the underlying heteroscedasticity assumption in the data generation deviates from it.     

Equilibrium in abstract economies without ordered preferences and with a measure space of agents

We report a generalization of Aumann's (1966) existence theorem to economies without ordered preferences and with externalities in consumption. Our work can alternatively be viewed as a generalization of the Shafer–Sonnenschein (1975) theorem to economies with a continuum of agents.     

An empirical study of a new method for forming group judgments: Qualitative Controlled Feedback

The Qualitative Controlled Feedback (QCF) method was developed by Press [1] to assist policy makers in forming judgments and making decisions that reflect the careful interactive reasoning and arguments of all of the members of a group or population. Since the QCF method involves controlled feedback, it tends to minimize the effects of face-to-face group interaction pressures. Since the feedback is “qualitative,” however, the procedure tends not to artificially induce a consensus on the group. This paper summarizes a feasibility study of the procedure. A sample of 111 faculty and staff members of the University of British Columbia participated in the testing of the method. The participants were asked to make a judgment on the importance of building an aquatic center on campus. A second (control) group of 89 faculty and staff members was surveyed on the same issue, but using the conventional survey method, that is, no feedback. It was observed that Qualitative Controlled Feedback created a good interaction (in the sense of exchanging arguments and reasons) among group members. Changes in judgments occurred as subjects went from one stage to another after having qualitative feedback of information. It was also found that the judgments given by the subjects in the qualitative controlled feedback group were distributed quite differently from those given by the control group. The method suggests a significantly new way of collecting and interpreting group judgments.     

Impact of formalisation of property rights in informal settlements: Evidence from Dar es Salaam city

This paper aims to study the responsiveness of the informal property market and management systems towards the introduction of land registration for informal settlements in Tanzania. City governments are increasingly recognising the need to strengthen legal rights for the urban poor as a means to bring them more effectively into the urban economy and ensure better provision of water, sanitation and other primary services. The research focuses on Tanzania and in particular two case studies within Dar es Salaam. The findings of the work suggest that the introduction of residential licenses whilst potentially assisting in creating legal certainty has not resulted in the financial sector accepting them as full security against loans. Accessing credit by the poor however has not yet been fully realised resulting in some further hurdles for the financial sector to overcome. Finally, and of some significance is the registration of property in the informal settlements has provided the opportunity of formal property transactions within these settlements.     

What makes you click?—Mate preferences in online dating

We estimate mate preferences using a novel data set from an online dating service. The data set contains detailed information on user attributes and the decision to contact a potential mate after viewing his or her profile. This decision provides the basis for our preference estimation approach. A potential problem arises if the site users strategically shade their true preferences. We provide a simple test and a bias correction method for strategic behavior. The main findings are (i) There is no evidence for strategic behavior. (ii) Men and women have a strong preference for similarity along many (but not all) attributes. (iii) In particular, the site users display strong same-race preferences. Race preferences do not differ across users with different age, income, or education levels in the case of women, and differ only slightly in the case of men. For men, but not for women, the revealed same-race preferences correspond to the same-race preference stated in the users’ profile. (iv) There are gender differences in mate preferences; in particular, women have a stronger preference than men for income over physical attributes.     

Can the Japanese Economy Rebound?

The Japanese economy has begun to show signs of recovery from its deepest post WWII recession. Although it is generally acknowledged that the recovery is not based on solid foundations, there is elation within Japan regarding the prospects for renewed economic growth. Yet little or no attention seems to be paid to what is happening to Japanese technological innovation, the engine that drives growth. The article shows that the impressive technological excellence of the famed Japanese companies is simultaneously accompanied by a decline in overall Japanese technological innovation. This is attributed to the dual nature of the Japanese economy, where super‐strong exporting industries co‐exist with super‐weak domestic sectors, and to Japan's adherence to outdated perceptions and policies. However, the potential for recovery is within reach: galvanise the backward leg of the dual economy and healthy growth would ensue; restore confidence in the healthy leg and things would be better still; add to this a recipe for responsible macroeconomic management and the prospects would be rosier.     

The monetarist versus the neo-Keynesian views on inflation: Some Italian evidence

This empirical inquiry investigates the relative merits of the monetarist and the neo-Keynesian hypotheses regarding the behavior of inflation in the Italian economy over the 1955–1983 period. Based on testing three alternative dynamic models that have been proposed in the literature, the empirical results support the monetarist proposition that unemployment has an insignificant impact upon inflation, a finding that is at odds with the neo-Keynesian hypothesis. Indeed, consistent with the monetarist hypothesis, the results suggest that the rate of monetary expansion is a prime determinant of the rate of inflation and its acceleration in Italy.     

Human capital,investment and growth: Some results from an endogenous growth model

Recent theoretical literature on the sources of economic growth has emphasized the role of human capital as an internal contributing force in the growth process. Empirical results reported in this paper provide support for this theoretical proposition. Cross-country data from 32 developing countries indicate that human capital (as alternatively measured by the primary school enrollment rate or the adult literacy rate) exerts a significant positive impact upon output growth.     

MODELLING THE ADAPTATION OF BUSINESS CONTINUITY PLANNING BY BUSINESSES USING NEURAL NETWORKS

Business continuity planning is an important element of business continuity management and is regarded as a fundamental step towards reducing the negative impacts of business disruptions caused by internal and external hazardous events. Many businesses are not prepared for such events, and very few studies have tried to examine and model the factors that contribute to business continuity management planning by various companies. In this paper we propose and develop a feed‐forward neural network for modelling businesses continuity planning by businesses based on a dataset of 283 businesses operating in the Greater Toronto Area in Ontario, Canada. The fully connected neural network applied was trained on 65 % of the dataset records using different subsets of input variables. In order to preserve the generalization ability of the trained network, 15 % of the dataset records were used as a validation set for early stopping during the network's training process. Prediction capability of the trained networks was evaluated on 20 % and never‐seen records of the dataset. The classification ability of the networks was then analysed using receiver operating characteristic and detection error trade‐off curves, where the results obtained were promising. The equal error rate for the best models was 12 %, which reflects a very good accuracy of these models in predicting the existence of business continuity planning for a generic company. Copyright © 2011 John Wiley & Sons, Ltd.