Minimum wage is efficient wage in Turkish labor market: TAR–cointegration analysis

This study has two main purposes. First one is the necessity of taking minimum wages into account, if there is a purpose to analyze the relationship between wages and productivity in an economy which has high unemployment rates and informal employment. Second one is about the analyzing method of this relationship. We choose TAR cointegration analysis for this relation. First step of this analysis is testing for stationarity of the variables. However the low power of traditional unit root tests is examined and proved in many studies but not taken into account in TAR cointegration studies in literature. This study shows that traditional unit root tests are unfavorable for the variables which have TAR structures. Because of this shortcoming of traditional unit root tests, these results must be supported with TAR unit root tests.     

Unit root and trend breaks in per capita output: evidence from sub-Saharan African countries

This article examines the nonstationary properties of per capita real output in 28 sub-Saharan African (SSA) countries, covering the period 1960–2014. The sequential testing approach proposed by Kejriwal and Lopez (2013, Econometric Reviews 32(8), 892–927) is used to categorize SSA countries into growth shift, level shift and linear trend hypotheses based on the presence or not of breaks in slope and/or level of the trend function. The break dates are associated to major historical or economic events such as sociopolitical crisis, commodity price fluctuations on international market, the discovery and the exploitation of mineral deposits or unfavourable environmental and climatic conditions. The empirical evidences of appropriate unit root tests fail to reject the unit root hypothesis in all the countries, suggesting that a shock would have a permanent effect on growth process, and stabilization policies may be implemented in dealing with income fluctuations.     

Collaborative Requirements Elicitation: A Process-Centred Approach

Requirements Elicitation is one of the first and most critical processes in system engineering. In this paper we will focus on the collaborative aspects of requirement elicitation, in the context of system development. To do so, we adopted the separation of concerns method. Using this method we separate engineering aspects from collaboration aspects in order to study both aspects and finally integrate them. For the collaborative aspect of requirements elicitation we looked at Collaboration Engineering. Collaboration Engineering is an approach to design and deploy processes for recurring collaborative tasks that can be transferred to practitioners to execute for themselves without intervention of professional facilitators. From an engineering perspective we will use the requirements engineering processes described by system engineering standard EIA-632 as a starting point. To integrate these we will use methods and techniques from Collaboration Engineering to specify the collaborative processes involved in this requirements elicitation approach. An object model was build using Unified Modelling Language. This model shows different concepts underlying our approach. Finally two case studies are presented to evaluate this approach.     

Research output and economic growth in G7 countries: new evidence from asymmetric panel causality testing

Recent studies have shown increasing interest on the relationship between research output and economic growth. The study of such a relationship is not only of theoretical interest, but it can also influence specific policies to improve the quality, and probably the quantity of research output. This article has studied this relationship in G7 countries using the asymmetric panel causality test of Hatemi-J (2011). Our results show that only the UK shows a causal relationship from the output of research to real GDP. However, when the signs of variations are taken into account, there is an asymmetric causality running from negative research output shocks to negative real GDP shocks.     

Comparing the Forecasting Performance of Futures Oil Prices with Genetically Evolved Neural Networks

In this paper, a hybrid system combining neural networks and genetic training is designed to forecast future oil prices. The architectural design is that of the multilayer back propagation network that is fed monthly prices for West Texas Intermediate covering the period 1986–2014. The model’s predictions are compared to those of the one, two, three, and four-month futures prices and are evaluated both on their level of accuracy as well as correctness. While accuracy measures the degree of error, correctness tests the model’s ability to predict the direction of the movement. By processing information more efficiently, and identifying patterns that may be ill-defined as a result of pronounced price volatility, this paper aims to improve the accuracy of oil price forecasts.     

A comparison of treatment patterns,healthcare resource utilization,and costs among young adult Medicaid beneficiaries with schizophrenia treated with paliperidone palmitate or oral atypical antipsychotics in the US

Abstract

Background: Much of the burden associated with schizophrenia is attributed to its early onset and chronic nature. Treatment with once monthly paliperidone palmitate (PP1M) is associated with lower healthcare utilization and better adherence as compared to oral atypical antipsychotics (OAAs). This study aimed to evaluate real-world effectiveness of PP1M and OAA therapies among US-based adult Medicaid patients with schizophrenia, overall and among young adults aged 18–35 years.

Methods: Adult patients with a diagnosis of schizophrenia and at least two claims for PP1M or OAA between January 1, 2010 and December 31, 2014 were selected from the IBM Watson Health MarketScan Medicaid Database. Treatment patterns and healthcare resource utilization and costs were compared between PP1M and OAA treatment groups following inverse probability of treatment (IPT) weighting to adjust for potential differences. Utilization and cost outcomes were estimated using OLS and weighted Poisson regression models.

Results: After IPT weighting, the young adult PP1M and OAA cohorts were comprised of 3,095 and 3,155 patients, respectively. PP1M patients had a higher duration of continuous treatment exposure (168.2 vs 132.5 days, p?=?.004) and better adherence on the index medication (proportion of days covered ≥80%: 19.0% vs 17.1%, p?<?.049). Young adults treated with PP1M were 37% less likely to have an all-cause inpatient admission (odds ratio [OR]?=?0.63, 95% confidence interval [CI]?=?0.53–0.74) and 33% less likely to have an ER visit (OR?=?0.67, 95% CI?=?0.55–0.81) compared to OAA young adult patients, but 27% more likely to have an all-cause outpatient office visit (OR?=?1.27, 95% CI?=?1.02–1.56). PP1M patients incurred significantly lower medical costs as compared to OAA patients.

Conclusions: Medicaid patients with schizophrenia treated with PP1M have higher medication adherence and have fewer hospitalizations as compared to patients treated with OAAs. PP1M may lead to reduced healthcare utilization and improved clinical outcomes.     

Institutional Investment Horizons and the Cost of Equity Capital

We examine the influence of institutional investors’ investment horizons on a firm's cost of equity. We argue that the cost of equity will decrease in the presence of institutional investors with longer‐term investment horizons due to improved monitoring and information quality. Our empirical results demonstrate that the cost of equity declines in the presence of institutional investors with long‐term investment horizons, all else remaining equal. Our results indicate also that the monitoring role of long‐term institutional investors is more pronounced for firms with higher agency problems (poorly governed firms). Overall, our evidence suggests that when considering the influence of institutional investors, it is critical to account for institutional heterogeneity, which leads to new directions for future research.     

Consumption coping strategies and well-being among refugee consumers

This paper aims to provide new insight into refugee consumers' adaptation to stress with a particular emphasis on consumption coping strategies and well-being. Drawing on the appraisal-coping theory, this paper proposes a theoretical framework relating stress to coping responses and refugee well-being. Social support is also introduced in the framework as a moderator. Examining the interplays between these concepts provides a comprehensive view of how changes in consumption patterns occur and how they affect refugee well-being. Insights from this paper suggest that consumption activities could be viewed as responses of adaptation to chronic and acute stress. To adapt to new circumstances and reduce their stress, refugee consumers could engage in adaptive consumption coping or maladaptive consumption coping (i.e., compulsive and impulsive consumption), which in turn affect their psychological and physical, family, and economic well-being. The paper contends that service support moderates the relationships between stress, coping responses, and refugee well-being.