Azerbaijan Housing Market at the Harmony of Blinder-Oaxaca Decomposition and Mechanism Design

N. Mammadova, Arzu Haydarova, A. Malikova, H. Aliyev, O. Mammadov
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Abstract

Being argumentative in nature and referring to Oaxaca Decomposition for the purpose of defining the main drivers of rental flats and houses, be new, old, repaired, or unrepaired, together with applying the difference in difference method to evaluate the effectiveness of the policy, this paper calls into the question of how to inaugurate a country-specific two-sided matching algorithm for rental house allocation based on the empirical results. Model 3 is built on time series data to evaluate the policy implementation by the Azerbaijani government to provide households with financial aid. Based on Blinder-Oaxaca Decomposition, the main findings of the study manifest that for the repaired and unrepaired houses, the price discrimination is mainly explained by the room number while this is an area of the houses per meter square that explains the price gap between old and new flats. The Difference in Difference model signifies that the increase in the number of mortgage loans from 50.000 AZN to 150.000 AZN declined demand more than the increase in supply. Additionally, the study offers 2 Matching Algorithm and Mechanism Design for the allocation of rental houses with existing tenants and newcomers in addition to tenants and owners without initial endowments through YRMH-IGYT in two-sided matching markets.
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布林德-瓦哈卡协调下的阿塞拜疆住房市场分解与机制设计
本文具有论证性质,参考瓦哈卡分解(Oaxaca Decomposition)来定义租赁公寓和房屋的主要驱动因素,即新、旧、维修或未维修,并运用差中之差方法来评估政策的有效性,如何在实证结果的基础上,开启一种针对具体国家的租赁房屋分配双边匹配算法。模型3基于时间序列数据来评估阿塞拜疆政府对家庭提供财政援助的政策执行情况。基于Blinder-Oaxaca分解,研究的主要发现表明,对于修复和未修复的房屋,价格歧视主要由房间数来解释,而这是每平方米房屋的面积,解释了新旧公寓之间的价格差距。差异中的差异模型表明,抵押贷款数量从5万AZN增加到15万AZN时,需求的下降大于供应的增加。在双边匹配市场中,通过YRMH-IGYT给出既有租户和新租户以及无初始禀赋的租户和业主的租赁房屋配置匹配算法和机制设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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