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 difference in difference method to evaluate the effectiveness of 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
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 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 amount of
mortgage loans from 50.000AZN to 150.000AZN declined demand more
than increase in supply. Additionally, 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.
Citation:
Mammadova, N., Haydarova, A., Malikova, A., Aliyev, H., & Mammadov, O. (2020). Azerbaijan Housing Market at the Harmony of Blinder-Oaxaca Decomposition and Mechanism Design, ASERC Journal of Socio-Economic Studies, 3(1), 12-36. DOI:10.30546/2663-7251.2020.3.1.12