The causes and effects of being “not in education, employment, or training (NEET)” differ according to countries, regions, and even individuals. In this study, the relationship between the causes of young people being NEET and the effects of being NEET is examined on young people in Turkey. The data and scales of cause and effect that have high validity and reliability coefficients were used from in-person field research conducted with 3158 NEET young people by Istanbul University between September and December 2020 in Turkey. The influence of the causes of being NEET scale on the effects of being NEET scale was analyzed by the multivariable regression method. As a result of the analysis, it was determined that the effects of the individual, familial, educational, environmental, and labor market dimensions of the causes of being NEET scale on the effects of being NEET scale were significant.

The Federal Republic of Germany has been one of the historically remarkable countries socially and economically. In this context, one of the outstanding issues is undoubtedly the correlation between unemployment and inflation, which is at the intersection of economy and social policy. Therefore, in the study, the unemployment-inflation trade-off in Germany was examined with the help of macroeconomic data in the context of the Modified/Original Phillips Curve, which explores the unemployment-inflation relationship. The empirical study method is time series analysis, and the monthly data set covers the period from January 1992 to April 2023. According to the study's findings, no causality relationship could be detected between unemployment and inflation variables in Germany in the period, neither in the long run nor in the short run. Therefore, it shows that the German economy does not have to put up with the inflation problem in the fight against unemployment and the unemployment problem in the battle against inflation. In this respect, it would be beneficial to thoroughly examine the German labour market structure and monetary policy strategy in the literature.

Gelir dağılımındaki eşitsizlikle mücadelede önemli stratejilerden biri, emek faktörünün gelirini artırmaya yönelik ücret politikalarıdır. Zira ücret, milli gelirde en büyük paya sahip faktör geliridir. Bu bağlamda çalışmada, Türkiye’de ücret politikalarının gelir dağılımı eşitsizliğini nasıl etkilediği irdelenmektedir. ARDL Sınır Testi Yaklaşımı ile analiz edilen ekonometrik modelin bağımlı değişkeni gelir dağılımını temsilen Gini katsayısı, bağımsız değişkenleri ise özel sektör ücretlerini temsilen özel bir havayolu şirketinin ortalama ücretleri ve asgari ücrettir. Çalışmanın bulgularına göre asgari ücretteki %1’lik bir artış Gini katsayısını %0.061 oranında azaltmakta; özel sektör ücretlerindeki %1’lik bir artış ise Gini katsayısını %0.051 oranında artırmaktadır. Bu sonuç asgari ücret politikalarının eşitsizliği azaltmada önemli rol oynadığını; özel sektör ücret artışlarının ise eşitsizliği artırdığını ima etmektedir. Ayrıca nedensellik analizine göre bu ilişki kısa dönemde de geçerlidir.

The Oil Crisis erupted in 1974 has caused severe contractions in global investment and aggregate demand. In order to combat the consequences of this crisis, a new process has been initiated in the global economy under the leadership of developed countries such as the USA, Japan and Germany. This process dominated by neo-liberal economic policies has included opening up economies to foreign markets, and initiating deregulation policies in domestic labour, goods and capital markets. Since then, the production of new goods and services and their financing has become a new global agenda. In order to manage this new process, new economic associations have started to be established. One of these new associations is the BRICS countries. This process, called "globalization", has also affected financial markets. In this period, the types of financial instruments have increased, their usage has become widespread and financial markets have deepened. One of the most important areas affected by financial deepening, which has an increasing impact on the global economy, and has many economic impacts ranging from employment to balance of payments, from monetary policies to fiscal policies, is the distribution of income. In the present study, the effect of financial deepening on income distribution is examined for BRICS-T (Brazil, Russia, India, China, South Africa and Turkey). The study utilizes annual panel data for the period of 1993-2015. According to the results of the econometric analyses, an increase of 1% in domestic credits, which is one of the financial deepening indicators, decreases the Gini coefficient by about 0.068%, an increase of 1% in the stock exchange value increases the Gini coefficient by approximately 0.011%, and an increase of 1% in the financial system deposits increases the Gini coefficient by about 0.061%. In other words, financial deepening affects income distribution positively in one aspect and negatively in other. Therefore, it can be said that the empirical findings of the study support both the Inequality-Narrowing Hypothesis and the Inequality-Extending Hypothesis in the literature.

Due to the political unrest following the civil war in 2011, several million Syrians had to flee from their own country to save their lives. This form of migration is called as forced migration given rise to reasons such as environmental disasters, climate change, civil conflict, and war. The mass migration movement of Syrians, first within the country and then towards neighboring countries, brought along many socio-economic problems. One of the most affected countries has been forced migration from Turkey to the Syrian hosts, including about 5 million registered and unregistered. Although it has been 9 years since the process, which was initially established through temporariness, a solution could not be found and the dream of returning Syrians has weakened day by day. This study aims to reveal how the Syrians, who are included in the labor market in an unplanned way, affect the Turkish labor market. Dynamic Panel data analysis was carried out using the data of 26 regions of Turkey. As a result, a 1% increase in the immigrant rate, which represents the share of Syrian immigrants in the region’s population, increases the employment rate by approximately 0.02%.

Housing is regarded as more than merely a physical shelter; it is an essential component for the preservation of familial structures and social welfare. The Industrial Revolution and subsequent societal developments have rendered housing a fundamental human right and a central concern of public policy. The composition of family units significantly influences demographic trends. Fundamental characteristics, including fertility, divorce, migration, and household size, are intrinsically linked to housing situations. This study investigates the impact of housing circumstances on family structure variables utilizing a panel dataset from 2000 to 2024, sourced from the Eurostat database. The total fertility rate and crude divorce rate were designated as dependent variables, whereas the number of rooms per capita was classified as the independent variable. The findings from the panel data analysis indicate that home width positively influences fertility and negatively impacts divorce rates. The results indicate that the comprehensive integration of housing and family policies is crucial for demographic sustainability.