Wages, Profitability And Market Structure: Threshold Regression Analyses

This paper employs threshold regression techniques to examine the effect of product market structure on real wages and profitability. Using longitudinal data on Turkish manufacturing industries over the period of 1985-2001, we show that market concentration has positive effects on wages and profitability. The positive effect of market concentration on wages is only significant over a certain threshold level whereas, the positive effect of market concentration on profitability exists in both regimes determined by a lower threshold level of concentration but weakens over this threshold. Our results suggest that the imperfectly competitive structure of Turkish manufacturing industry offers more monopoly rent to employers than employees.Wo

Wage Inequality and Wage Mobility in Turkey

This paper investigates wage inequality and wage mobility in Turkey using the surveys on income and living conditions. Providing the first evidence on wage mobility for Turkey, our paper also differs from the existing literature by investigating wage inequality and wage mobility over various socio-economic groups. We first present an overview of wage inequality over the period 2005-2011. Next, we compute several measures of wage mobility and explore the link between wage inequality and wage mobility. Further, emphasizing positional mobility, we compute transition matrices and investigate the determinants of transition probabilities. The results show that, overall, wage inequality exhibits a slight increase over the analysis period. Wage mobility in Turkey is lower than what is observed in European Union countries although it increases as the time horizon expands. Wage mobility has an equalizing impact on wage distribution; however, this impact is not substantial enough to overcome the high and persistent wage inequality in Turkey

Consumers' perception of risk towards artificial intelligence technologies used in trade: A scale development study

In today's digitalizing world, internet, mobile technologies, nanotechnologies and learning algorithms continue to develop and gain essential places in our lives. The use of artificial intelligence in wholesale and retail trade enable better analysis of customer requests and the development of effective marketing strategies. However, although these cutting-edge technologies provide significant advantages to businesses, some risks may arise as these technologies continuously develop, and it eventually becomes harder to control the pace of development. Many famous scientists and entrepreneurs are worried that artificial intelligence could have negative consequences for humanity if it does not develop safely, and they suggest that urgent measures need to be taken as they believe that it may pose a significant threat to humanity. The starting point of this study is to learn the point of view of consumers on this technology, as well as scientists or entrepreneurs. The purpose of this study is to determine how consumers perceive these risks. In this direction, the literature focused on the issues related to artificial intelligence technologies in trade was examined. In light of the information obtained from the literature, the Artificial Intelligence Technologies Used in Trade Risk Perception Scale (AITUTRPS) was developed

Parathyroid changes after high dose radioactive iodine in patients with thyroid cancer

The study aimed to investigate the effect of high dose radioactive iodine (RAI) on parathyroid function in patients with differentiated thyroid cancer

33 Questions about Triglycerides and Cardiovascular Effects: Expert Answers

Education professionals are concerned about the dropping levels of motivation and engagement students experience as they go through schooling. Sustained low motivation across the student population leads to increased dropout rates, which in turn leads to many detrimental consequences. The literature shows clear correlations between low self-efficacy and low motivation, alongside a lack of tools to address the problem. This thesis tested a student-centered intervention composed of a goal setting instrument, an expressive writing instrument, and several coping mechanisms. Self-efficacy was tested in eight 16-year-old Finnish students before and after the intervention using a validated self-efficacy scale. A thematic analysis was conducted to assess the importance and effects of each of the components of the intervention, and to account for external variables. All the participants showed an increase in self-efficacy after the intervention, which was attributed to be the main cause. The goal setting instrument was reported to have the strongest effect on self-efficacy, followed by the expressive writing instrument. The coping mechanisms showed null effects. The results suggest that the goal setting instrument causes new appraisals of the most influential source of self-efficacy: performance attainments. Additionally, expressive writing serves as a foundational previous step to goal setting. However, further research is required to confirm the validity of these findings. The small sample size, the strong localization, and the fact that self-efficacy is not directly observable, severely limit the results of the study. In addition, a longer study should be conducted to observe the durability of the effects of the intervention

33 Questions about Triglycerides and Cardiovascular Effects: Expert Answers

WOS: 000396440800002PubMed ID: 2844673