Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Abdullah Yavas"'
Autor:
Cengiz Tunc, Abdullah Yavas
Publikováno v:
Central Bank Review, Vol 16, Iss 1, Pp 25-32 (2016)
The private saving rate in Turkey has decreased substantially since 2000. In this study, we investigate the determinants of the private saving rate in Turkey, with a special focus on the role of mortgage debt. We find a strong and robust negative eff
Externí odkaz:
https://doaj.org/article/78c2d07fafb240a48663afd504ed2414
Autor:
Abdullah Yavas
Publikováno v:
American Journal of Islam and Society, Vol 16, Iss 4 (1999)
This article has multiple objectives. It seeks to identify those assumptions of neoclassical economics which are vindicated by experimental tests and those which fail such tests. The author tries to simultaneously expose the limitations of neoclassic
Externí odkaz:
https://doaj.org/article/b6f0d21a202f4257addb5dcbebd11f66
Publikováno v:
Real Estate Economics. 51:233-271
Publikováno v:
Real Estate Economics. 50:1334-1359
Publikováno v:
The Journal of Real Estate Finance and Economics. 66:327-372
This study investigates whether the local housing markets can be affected by the occurrence of a large-scale but distant hurricane without direct impact. Using a dataset of residential transactions in Miami-Dade County, FL between 2005 and 2014, we f
Autor:
Ying Fan, Abdullah Yavas
Publikováno v:
The Journal of Real Estate Finance and Economics. 67:150-190
In this paper, we examine price dynamics, cycles and lead-lag relationships between private and public commercial real estate markets. We utilize wavelet technology to capture both the frequency and the time variations of a time series. We find that
Publikováno v:
The Journal of Real Estate Finance and Economics. 64:379-403
This study offers a simple theoretical model and empirical evidence to address the impact of social capital on mortgage delinquency. Social capital includes the norms, values, trust, and information common to a social network, which enable cooperativ
Publikováno v:
28th Annual European Real Estate Society Conference.
Publikováno v:
Journal of Housing Economics. 43:37-55
The developing technology of wavelet analysis offers a valuable tool in mitigating many of the limitations of earlier studies of housing price dynamics. This paper applies wavelet analysis to five first-tier cities in China to study housing price cha
Publikováno v:
SSRN Electronic Journal.
Lenders’ access to soft information on appraisal inflation could lead to adverse selection in private mortgage securitization. Combining a nationwide mortgage data with a real estate transaction data and using a difference-in-differences empirical