Kolmogorov–Smirnov,Fluctuation, and Z g Tests for Convergence of Markov Chain Monte Carlo Draws

We examine the sizes and powers of three tests of convergence of Markov Chain Monte Carlo draws: the Kolmogorov–Smirnov test, fluctuation test, and Geweke's test. We show that the sizes and powers are sensitive to the existence of autocorrelation in the draws. We propose a filtered test that is corrected for autocorrelation. We present a numerical illustration using the Federal funds rate.     

Measuring precautionary wealth using cross-sectional data: the case of farm households

This study models and investigates the presence of precautionary wealth among farm households, something few studies have attempted. Using pooled farm-level data, we find that self-employed farm households accumulate more wealth. Precautionary savings is about 8% of total household wealth. In addition, we find that age, education, occupation, and operation size are important factors influencing wealth accumulation by US farm households.     

Finding Hope in the Life of Young Part-timers

The objective of this article is to link the structural factor (employment structure) and subjective factor (notion of labor) concerned with the generation process of young part-timers (freeters) by considering their life histories in terms of hope. Based on the ongoing research conducted over a period of 5 years on three male freeters, the following facts have come to light. Freeters are located on the lower strata of full-time and part-time jobs. They cannot envision a future career path in either employment style. Due to current labor ethics, they cannot form a subgroup that acknowledges their employment style and present-time orientation. Under pressure from labor ethics, which insist that they do “decent” work, they cannot help but hope to escape from this double-bind. To put it briefly, present Japanese society needs flexible workers, on the one hand, but cannot permit them to be flexible on the other. This kind of structural tension drives the young workers to hope. But hope does not dissolve the structural tension. On the contrary, it works to prolong this structural tension itself.     

The role of leadership in shared mental model convergence and team performance improvement: An agent-based computational model

Research in shared mental models has immeasurably aided our understanding of effective teamwork and taskwork. However, little research has focused on the role that leaders play, if any, in influencing, developing and/or fostering shared mental models and thereby improving team performance. We developed an agent-based computational model based on McComb's theory of three-phase mental model development, where agents repeatedly share individual opinions (orientation phase), evaluate and respond to the opinions expressed by others (differentiation phase), and modify their understanding of the team based on the responses (integration phase). Leadership and team properties are represented in three experimental parameters: social network structure, heterogeneity of agents' domains of expertise, and level of their mutual interest. Participative leadership is represented by a fully connected network, while Leader–Member eXchange (LMX) is represented by a fully connected network of in-group members and several out-group members connected only to the leader. Our simulation results show that, in general, participative leadership promotes mental model convergence better than LMX. In the meantime, the team performance improvement is achieved by participative leadership only when members have both heterogeneous domains of expertise and strong mutual interest. In all other conditions, participative leadership causes the worst degradation of team performance through team development processes, while LMX is the best to minimize such team degradation. Implications and suggestions for future research are provided.     

Whose Heartland?: The politics of place in a rural–urban interface

This article advances a conceptualization of the rural–urban interface that is centred on a historically and spatially informed politics of place situated within local–global connections. The research is a case study of an inter-municipal development plan called Alberta's Industrial Heartland. Located near the City of Edmonton, in Alberta, Canada, the study area has been characterized by tremendous social, cultural, and economic shifts over the past century, from agriculture, to country residential in-migration, to intensive industrial development in response to the increasing importance of Alberta on the global energy market. A series of interviews conducted with residents, political officials, and other stakeholders documents how parallel, yet contested definitions of the ‘Heartland’ underpinned a ‘politics of place’ over land use change at the rural–urban interface.     

Salvage therapy trial for erectile dysfunction using phosphodiesterase type 5 inhibitors and vitamin E: Preliminary report

We report our initial experience with salvage therapy for low responders to PDE-5 inhibitors by adding vitamin E. Of 89 patients with ED who visited our clinic between January 2004 to August 2006, 9 were unable to obtain a full response to a PDE-5 inhibitor and included in the present study. After providing informed consent, each was given 300 mg per day of α-tocophenol at least 1 month and completed IIEF-5 questionnaires to assess its efficacy while also taking a PDE-5 inhibitor. With α-tocophenol administration, the average IIEF-5 score increased from 13.8 ± 3.2 to 17.1 ± 3.6. Four of seven patients who completed the questionnaire each time showed improved IIEF-5 scores, with a maximum elevation of 9 points. Further, eight of the nine patients experienced favourable subjective changes, the majority being increased penile rigidity. The present clinical trial results are, to our knowledge, the first known to show the effects of vitamin E for enhancing the efficacy of a PDE-5 inhibitor.     

A Measure Whose Time has Come: Formalizing Time Poverty

Poverty remains a primary public policy issue, and a large literature has discussed the limitations of an income poverty measure. Using income as an indicator of poverty is a helpful simplification designed to capture ability to meet consumption needs. We argue that time is a basic economic resource allocated to create well-being along with income. Time is a scarce resource that individuals and households must allocate to produce goods, obtain services, and pursue rest and relaxation. Time poverty has been proposed as a complement to income poverty, yet it remains a relatively unknown measure in both policy and research spheres. The many ways time poverty is conceptualized and measured across studies has limited its adoption. To help familiarize readers with time poverty, we apply basic tenets of income poverty measurement to time. We conduct a survey of the theoretical and empirical literature discussing similarities, differences, and the pros and cons of different approaches to time poverty. In particular, inconsistent definition and categorization of necessary and discretionary time has been a barrier to the transparent application of time poverty in the literature, and we outline guidance on defining necessary and discretionary time for future studies. Finally, we outline future research directions for time poverty.     

Ratio tests of a unit root

Based on the maximal invariant principle, we derive two ratio tests (locally best invariant test and point optimal test) for a unit root and compare them with previously proposed ratio tests. We also show that our ratio tests tend to have better powers than the Dickey-Fuller test and the modified Dickey-Fuller test.     

Probit and Logit Model Selection

Monte Carlo experiments are conducted to compare the Bayesian and sample theory model selection criteria in choosing the univariate probit and logit models. We use five criteria: the deviance information criterion (DIC), predictive deviance information criterion (PDIC), Akaike information criterion (AIC), weighted, and unweighted sums of squared errors. The first two criteria are Bayesian while the others are sample theory criteria. The results show that if data are balanced none of the model selection criteria considered in this article can distinguish the probit and logit models. If data are unbalanced and the sample size is large the DIC and AIC choose the correct models better than the other criteria. We show that if unbalanced binary data are generated by a leptokurtic distribution the logit model is preferred over the probit model. The probit model is preferred if unbalanced data are generated by a platykurtic distribution. We apply the model selection criteria to the probit and logit models that link the ups and downs of the returns on S&P500 to the crude oil price.