This paper aims to investigate the evolution of male wage inequality from 1994 to 2011 in Turkey. The quantile regression method and OLS techniques are applied on Household Budget Survey data to estimate the extended Mincerian human capital earnings equation in order to analyze the changes in the wage distribution between these years. The results reveal that education is one of the crucial parameters that affect the wage inequality in Turkey. Within wage inequality among university graduates has increased for high to medium spreads for the successive almost 10 year periods. In addition, unionization also plays significant role on wage level in 2002 and 2011. In 2002, the return of being union membership is getting larger moving into higher tails of the wage distribution. On the other hand, the highest return of being a union membership is achieved at the lower tails of the distribution in 2011. Furthermore, the effects of experience, age, the size of the companies, public sector, geographic location variables on wage inequality are also discussed in this study.

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This paper begins by investigating the occurrence of gentrification in Istanbul during the period of 2008 and 2017, through the application of dynamic system/difference generalized method of moments estimation techniques. Our findings reveal that gentrification seems to have taken hold with the processes of urban regeneration that began in 2012. Additional associations between such parameters as housing price/rent growth, demographic changes, enterprise growth, and political administration (that is, whether the district is overseen by the opposition party or not) are tested through the use of REIDIN sales and rent indices, along with Turkish Statistical Institute data sets for 25 districts in Istanbul and 19 city‐centre districts. The results demonstrate that gentrification is closely related to demographics/age and political administration. Overall, while house price/rent growth and enterprise growth are not observed to have an impact on gentrification, the findings of this study reveal that the association between housing prices and gentrification is positive only in those districts governed by the opposition party. The study thus raises questions about the relationship between political attitudes and gentrification in Turkey.

The study aims to see whether the long-run relation between inequality and import demand exists in Turkey. The Autoregressive Distributed Lag (ARDL) cointegration technique is used in this study to estimate the long-run relationships between real imports, income, relative price, real exports, and inequality for the period 1982-2015. The results revealed that the income elasticity of imports is greater than one as the literature suggests. The sign of the coefficient of relative price and its magnitude is also compatible with the literature, while it is not statistically significant. However, the results further reflect that inequality is positively associated with real imports in Turkey contrary to assumptions of the relation between inequality and imports that is found to be negative for lower income countries in some studies. Short-run coefficients reflect that real income and relative prices are associated with real imports, whereas exports and not surprisingly, inequality variables are not in the shortrun. The coefficient of income parameter is less in magnitude in the short-run but still greater than one. However, the sign of the coefficient of the relative price turns out to be positive in the short-run.

This study aims to discuss the manufacturing and service sectors' productivity performances of Turkey during the 2000s. In order to get some ideas how structural changes are directed during the 2000s in Turkish manufacturing, shift-share analysis is applied in this study. The results reflect that between 2003 and 2007, in all manufacturing categories, labor productivity has decreased while during the period between 2010 and 2015, labor productivity has increased in all manufacturing categories. Labor productivity further increased for all groups, but at a slower pace for medium-low-technology categories and stagnant for high-technology industries during the period between 2016 and 2018. Labor productivity in the service sector shows a somewhat different pattern than that seen in manufacturing in terms of periods. Particularly in high-tech service groups, the static shift toward relatively lower labor productivity sectors has been observed for almost all periods. In less-knowledge-intensive services, labor productivity decreased in the first period, but increased most notably during the 2010-2015 period. The results supposedly imply that there is some room for discussion of the role of industrial policies, particularly in the post-2010 period. Moreover, after 2016, the change in the political and economic environment offers some clues in understanding the productivity changes in the manufacturing sector.