The Determinants of Earning Differentials in Ankara and Istanbul

In this study, an attempt is made to compare and contrast the determinants of earnings differentials in Ankara and Istanbul. The determinants of earnings differentials are first examined with semi-logarithmic single equation models based on the basic human capital approach. Secondly, extended models are formed in which all the variables are expressed as dummy variables. In general, the average per hour earnings in Istanbul, is higher than in Ankara. It is found that age, gender, education and job status have significant effects on the explanatory power of the model, whereas occupation and marital status have only limited effect.Turkey, earning differentials

Assessing the Effectiveness of Incubators: The Case of Turkey

We assess the effectiveness of technology incubators in Turkey in supporting small and new firms. Information on 48 on-incubator and 41 off-incubator firms is gathered through face-to-face interviews to compare and to contrast those that benefit from incubators with those that do not. Our findings indicate differences between on- and off-incubator firms regarding their economic performance, highly in favor of on-incubator firms, but the same cannot be put forward concerning innovative output. We found financial support mechanisms and incubator support services important in explaining these performance differentials. We further argue that the impact of entrepreneur characteristics, business networking and interaction with universities are not strong enough.Turkey, technology policy, incubators, high-tech SMEs