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on Central and Western Asia |
| By: | Aybala Demir; Kerem Yavuz Arslanli |
| Abstract: | The literature has shown that financial institutions and banks in countries give fewer loans due to the increases of financing costs with the increases in CDS premiums. As a result of this, a noticeable decrease in housing prices occurs. (Benbouzid, Mallick, & Pilbeam, 2018). In this context, this paper will examine which factors affect Turkey's CDS premium and how Turkey's CDS Premium affects housing prices. This article also covers the statistical relationship between global and local variables. In the studies carried out to determine the variables affecting Turkey's CDS premium, the volatility in CDS premium is more affected by global variables than local variables. However, it is thought that the higher volatility in premiums stems from political and economic problems. A VAR model will be established using a data sample from November 2010 to January 2022. Local variables are the housing price index, CDS premiums, growth rate, real effective exchange rate, stock and bond returns, interest rates, risk appetite, external debt balance, banking sector performance will be examined. Global variables, which are VIX, S&P 500, US bond market, global risk appetite, NASDAQ variables, will be examined. |
| Keywords: | CDS premiums; House Prices; Turkey; VAR model |
| JEL: | R3 |
| Date: | 2022–01–01 |
| URL: | https://d.repec.org/n?u=RePEc:arz:wpaper:2022_208 |
| By: | Angela Greulich (CRIS - Centre de recherche sur les inégalités sociales (Sciences Po, CNRS) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique, IUF - Institut Universitaire de France - M.E.N.E.S.R. - Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche); Aurélien Dasré (CRESPPA - Centre de recherches sociologiques et politiques de Paris - UP8 - Université Paris 8 Vincennes-Saint-Denis - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique) |
| Abstract: | We test in how far women's economic participation can be associated with physical and/or sexual domestic violence against women in Turkey, by mobilizing the Survey "National Research on Domestic Violence against Women in Turkey" (wave 2014). Several studies found that economically active women have a similar, if not a higher risk of experiencing domestic violence than inactive women in Turkey, as well as in other emerging countries. We challenge these findings for Turkey by distinguishing between formal and informal labor market activities as well as between women who do not work because their partner does not allow them to and women who are inactive for other reasons. To increase the control for endogeneity in this cross-sectional setting, we apply an IV-approach based on cluster averages. We find that, while overall employment for women cannot be associated with a lower risk of experiencing domestic violence for women in Turkey, those women who participate in the formal labor market and those women who contribute at least the same as their partner to household income are less exposed to physical and/or sexual domestic violence than their counterparts. Distinguishing between formal and informal employment is thus important when it comes to investigate the association between women's economic activity and domestic violence. This is especially the case in a country like Turkey, which currently undergoes important socioeconomic changes and where women in formal and informal employment have therefore very different socioeconomic backgrounds. |
| Date: | 2022–11–16 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-03959678 |
| By: | Omar Radwan Abdellah; Kerem Yavuz Arslanli |
| Abstract: | The short-term rental market has grown rapidly over the last decade. Airbnb (and other online accommodation sharing platforms, which provide an online market that links people with each other as host and guest system) is attracting much interest, as it has implications for the real estate market worldwide. The impacts vary across the globe depending on the context. As Airbnb comes at the forefront of short rentals platforms in this market in Istanbul, Turkey Airbnb has the biggest share, which attracted many researchers trying to answer the generated and raised questions. Using scrapped data from Airbnb websites, this paper offers insights into Airbnb usage patterns and how they vary across different districts of Istanbul with different types of provided properties and how they correlate with asked prices. Seasonality has a significant effect in the real estate market as it directly affects supply and demand, so We used the number of reviews variable in the dataset as an indicator of the demand to study the seasonality pattern and how prices fluctuate over time to different reasons. The paper also explored the asked rent prices in the long-term leases using data from Emlak 360 and Endeksa websites and compared it to short-term rentals. This is continuing research that provides a map for the Istanbul dataset that will inspire and establish new aspects to academics and professionals in the Turkish market to further analyze how the market acts at certain times. |
| Keywords: | Airbnb; Istanbul; Residential Market; Short Term Rentals |
| JEL: | R3 |
| Date: | 2022–01–01 |
| URL: | https://d.repec.org/n?u=RePEc:arz:wpaper:2022_213 |