Kernel method to estimate nonlinear structural equation models

Quality & Quantity - The purpose of this paper is to provide a nonparametric kernel method to estimate nonlinear structural equation models involving the functional effects between the latent...     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.     

Do banking system transparency and competition affect nonperforming loans in the Chinese banking sector?

The increasing importance of transparency practices and the improving status of bank competition in China are rarely explored in nonperforming loans (NPLs) literature. Thus, the purpose of this study is to examine banking system transparency and competition along with macroeconomic and bank-specific variables as determinants of NPL. We use the two-step system GMM dynamic panel model for Chinese banks based on annual data from 2000 to 2014. Our results indicate that high transparency in the Chinese banking system decreases poor-quality assets but not in the case of government-owned banks, whereas increase in competition increases NPL. Moreover, we find mixed results in the context of macroeconomics and bank-specific variables. Our study has practical implications in risk management practices and macro prudential policies.     

Remittances and incumbency: Theory and evidence

By raising household income, remittances lower the marginal utility of targeted electoral transfers, thus weakening the efficacy of vote buying. Yet, remittances make individuals wealthier and believe the national economy is performing well, which is positively attributed to the incumbent. Building on these insights, I show that the confluence of these divergent channels generate a surprising result that at increasingly higher levels of dissatisfaction with the incumbent, a remittance recipient is more likely to vote for the incumbent than a non‐remittance recipient. These predictions and their underlying mechanisms are substantiated across 18 Latin American countries.     

Economic burden associated with inadequate antidepressant medication management among patients with depression and known cardiovascular diseases: insights from a United States–based retrospective claims database analysis

Abstract

Aims: The current study examined the association between insufficient major depressive disorder (MDD) care and healthcare resource use (HCRU) and costs among patients with prior myocardial infarction (MI) or stroke.

Methods: This was a retrospective study conducted using the MarketScan Claims Database (2010–2015). The date of the first MI/stroke diagnosis was defined as the cardiovascular disease (CVD) index date and the first date of a subsequent MDD diagnosis was the index MDD date. Adequacy of MDD care was assessed during the 90 days following the index MDD date (profiling period) using 2 measures: dosage adequacy (average fluoxetine equivalent dose of ≥20?mg/day for nonelderly and ≥10?mg/day for elderly patients) and duration adequacy (measured as the proportion of days covered of 80% or higher for all MDD drugs). Study outcomes included all-cause and CVD-related HCRU and costs which were determined from the end of the profiling period until the end of study follow-up. Propensity-score adjusted generalized linear models (GLMs) were used to compare patients receiving adequate versus inadequate MDD care in terms of study outcomes.

Results: Of 1,568 CVD patients who were treated for MDD, 937 (59.8%) were categorized as receiving inadequate MDD care. Results from the GLMs suggested that patients receiving inadequate MDD care had 14% more all-cause hospitalizations, 4% more all-cause outpatient visits, 17% more CVD-related outpatient visits, 13% more CVD-related emergency room (ER) visits, higher per patient per year CVD-related hospitalization costs ($21,485 vs. $17,756), higher all-cause outpatient costs ($2,820 vs. $2,055), and higher CVD-related outpatient costs ($520 vs. $434) compared to patients receiving adequate MDD care.

Limitations: Clinical information such as depression severity and frailty, which are potential predictors of adverse CVD outcomes, could not be ascertained using administrative claims data.

Conclusions: Among post-MI and post-stroke patients, inadequate MDD care was associated with a significantly higher economic burden.     

Towards an integrated model for the transference of environmental responsibility

This research explores how environmental responsibility transfers to others. Although environmental responsibility is one of the most debated topics in environmental management literature, a framework describing how a teacher's environmental responsibility shapes the student's environmental responsibility is still lacking. Adopting emotional contagion theory as a lens, the paper addresses this issue via the mediation of emotional contagion and the moderation of a teacher's environmental concern. Based on a survey of teachers and students (N = 283) conducted in Pakistan, our findings provide evidence that a teacher's environmental responsibility can better transfer to students via emotional contagion. Additionally, our data establish that the transference of environmental responsibility from teachers to students via emotional contagion is more effective when the teacher has a high level of environmental concern than when he or she has a low level of environmental concern. Finally, the authors discuss the implications for policy in detail.     

Quality of life and its predictors among Pakistani head of household in district Abbottabad,Pakistan

Quality & Quantity - This study aimed to measure the quality of life (QOL) and its predictors among male and female heads of household in Pakistan. A population-based cross-sectional study in...     

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High-Dimension Regime

In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high-dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real-data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.     

A production/remanufacture model with returns’ subassemblies managed differently

This paper considers a production-remanufacturing inventory model for a single product, where constant demand is satisfied from the inventory of newly produced and remanufactured items. Although the available models in the literature imply that collected used units (or returns) are disassembled for recovery purposes, these models really do not treat them as such. Contrary, the returns are assumed to be recovered as whole units, perhaps, for simplicity. This assumption may not capture the benefits reaped from product recovery programs. This paper addresses this limitation in the literature and assumes that each unit of a used product is collected and disassembled into components, where these components are sorted into subassemblies, which are fed back into the production-remanufacturing process. The returned subassemblies are remanufactured and reassembled to represent a second source of as-good-as-new units of the end-product. For this multi-component inventory problem, the question that needs to be answered is whether, or not, extreme strategies of either pure remanufacturing or pure production are more economical than a mixed strategy (one that combines both strategies). A mathematical model is developed that accounts for the inventories of subassemblies. The results suggested that not accounting for the disassembled components of a product leads to inappropriate inventory decisions that are not environmentally sound.     

25 years of Psychology & Marketing: a multidimensional review

The first issue of Psychology & Marketing was published in 1984. The journal was conceived as a forum for academics and practitioners in psychology, marketing, and related fields to engage in an exchange of scholarly information. The raison d'être of the journal was to bring psychologically sophisticated information and methodologies to bear on all aspects of marketing theory and practice. This review analyzes the performance of Psychology & Marketing from several perspectives, and includes data comparing its performance to the performance of other journals. Looking back over the last 25 years of its history, it seems fair to conclude that Psychology & Marketing has clearly delivered on its tacit promise of effectively building the knowledge base of marketing through psychology‐based insights. Looking forward, it seems reasonable to anticipate that the journal's well‐established track record in terms of diversity in the content, research design, and methodologies of its published articles will continue to stand as a welcome and refreshing distinction from other journals covering comparable domains of study. © 2009 Wiley Periodicals, Inc.