Human Rights,Income and International Migration

This study contributes to the literature of migration studies by addressing the question: why does international migration persist despite welfare improvements in migrant‐sending countries? We propose that the human rights condition of the origin countries is an important determinant of global migration. Although the human rights issue is not new to researchers in migration studies, the concern is primarily about the rights of migrants, refugees, asylum seekers or migrant workers in a host country. We undertake a bilateral panel data analysis to examine the pattern of global bilateral migration between 1995 and 2010. We find that international migration is positively associated with human rights conditions and income. Similar results are also obtained when we control for multilateral resistance and possible sample selection biases in a panel context. Our study implies that efforts to promote human rights may also be assessed in relation to their contribution to migration flows.     

Variable selection in gamma regression models via artificial bee colony algorithm

Variable selection is an important task in regression analysis. Performance of the statistical model highly depends on the determination of the subset of predictors. There are several methods to select most relevant variables to construct a good model. However in practice, the dependent variable may have positive continuous values and not normally distributed. In such situations, gamma distribution is more suitable than normal for building a regression model. This paper introduces an heuristic approach to perform variable selection using artificial bee colony optimization for gamma regression models. We evaluated the proposed method against with classical selection methods such as backward and stepwise. Both simulation studies and real data set examples proved the accuracy of our selection procedure.     

Inference in multivariate linear regression models with elliptically distributed errors

In this study we investigate the problem of estimation and testing of hypotheses in multivariate linear regression models when the errors involved are assumed to be non-normally distributed. We consider the class of heavy-tailed distributions for this purpose. Although our method is applicable for any distribution in this class, we take the multivariate t-distribution for illustration. This distribution has applications in many fields of applied research such as Economics, Business, and Finance. For estimation purpose, we use the modified maximum likelihood method in order to get the so-called modified maximum likelihood estimates that are obtained in a closed form. We show that these estimates are substantially more efficient than least-square estimates. They are also found to be robust to reasonable deviations from the assumed distribution and also many data anomalies such as the presence of outliers in the sample, etc. We further provide test statistics for testing the relevant hypothesis regarding the regression coefficients.     

Measuring strategic decision making efficiency in different country contexts: A comparison of British and Turkish firms

This paper compares the relative efficiency of the strategic decision making (SDM) processes of British and Turkish firms. The technique of data envelopment analysis (DEA) is used to measure the relative efficiency of these firms. The evidence obtained by the DEA analysis reveals that the Turkish firms tend to be superior to the British firms in terms of their SDM efficiency. There is a significant difference in scale returns with respect to the country of origin of the firms. The analysis of the improvement potential of inputs indicates that Turkish firms place more emphasis on managing environmental turbulence to enhance their SDM efficiency, while British firms tend to overly focus on the design of an appropriate organizational structure. However, no significant difference was noted between the two groups of firms with regard to the level of resources and effort exerted on formal strategic planning practices. The analysis of output deficits reveals that there is a significant difference between British and Turkish firms in the sources of inefficiency.     

Hazard Analysis of Unemployment Duration by Gender in a Developing Country: The Case of Turkey

There is little evidence on unemployment duration and its determinants in developing countries. This study is on the duration aspect of unemployment in a developing country, Turkey. We analyse the determinants of the probability of leaving unemployment for employment or the hazard rate. The effects of the personal and household characteristics and the local labour market conditions are examined. The analyses are carried out for men and women separately. The results indicate that the nature of unemployment in Turkey exhibits similarities to the unemployment in both the developed and the developing countries.     

Timing the Use of Breast Cancer Risk Information in Biopsy Decision‐Making

Available clinical evidence is inconclusive on whether radiologists should use the patient risk profile information when interpreting mammograms. On the one hand, risk profile information is informative and can improve radiologists’ performance, but on the other hand, it may impair their judgment by introducing biases in mammography interpretation. Therefore, it is important to assess whether and when profile information use translates into improved outcomes. We model the use of profile information in mammography, using a decision theoretic approach and explore the value of profile information using three process design choices: mammography only, unbiased, and biased reading. We estimate the parameters of our model using clinical data and find that using profile information along with the mammography information can achieve a better performance than not using the profile information. However, the better performance is contingent on the weight assigned to the profile information as well as the extent of bias due to profile information. Translating our findings into clinical practice would require properly designed experiments aiming to quantify the effect of the timing and the use of profile information on performance while accounting for radiologist and patient characteristics. When conducting an experiment is not feasible, a uniform operational sequence for interpreting mammograms and related guidelines may be a useful starting point to improve the quality of mammography operations.     

Transmuted two-parameter Lindley distribution

In this study, we propose a new distribution using the quadratic rank transmutation map named as transmuted two-parameter Lindley distribution (TTLD). This distribution is more flexible than the two-parameter Lindley distribution (TLD). The properties of the TTLD are examined, and estimation methods for the parameters of this distribution are discussed. The usefulness of the TTLD is demonstrated on some real data.     

Elites,Oil, and Democratization: A Survival Analysis*

Objective. This study explores the relationship between natural resource wealth, most notably oil, and democratic survival. I contend that natural resources help sustain democratic regimes by easing social conflict between the rich and the poor. As such, the availability of abundant natural resource revenues alleviates the elites' fear of redistribution of wealth, thereby stabilizing the regime. Methods. I estimate a series of survival analyses for the period between 1960 and 1999. Results. Elite support and oil wealth independently help stabilize democracies. Conclusions. The results bring the widely held views on the link between oil and democracy into question and invite further scrutiny.     

Political Economy of Immigration in Germany: Attitudes and Citizenship Aspirations1

This paper examines resident foreigners’ interest in German citizenship. We use a unique data set from a survey of foreign residents in the German states to study the roles played by factors such as attitudes towards foreigners and political interest of foreigners. We find that negative attitudes towards foreigners and generational conflict within foreigner families are significant negative factors. While interest in political participation is among the important positive factors, hostile attitudes, lack of voting rights, or uncertainty about staying in Germany mainly discourage foreigners who actively participate in the labor market, have more years of schooling, and are younger.