Purpose This paper aims to reveal major factors affecting housing prices (flats and houses) in Baku, the capital of Azerbaijan Republic. Design/methodology/approach Based on cross-sectional data set of 497 flats and 443 houses, polynomial regression models are estimated for flats and houses separately. Regression models are estimated by using ordinary least squares. Findings Location, largeness, repair level and existence of bill of sale are major price determinants for flats. For houses, number of rooms also matters. Findings reveals that houses are land intensive (more floors, less land area) toward city center, and vice versa. Price difference due to existence of bill of sale diminishes significantly toward the surrounding areas. Research limitations/implications The data set represents view of sellers and does not take into consideration price bargaining in time of sale; probability of information asymmetries exists which not could accounted for, and urgency of sale is not considered. Practical implications Estimation results can be used for housing valuation by real estate market participants and investors. Social implications Research findings reveal importance of bill of sale as a major price determinant and expected to attract policymakers’ attention to solve such a big social problem. Additionally, models can be based for price estimations in Baku housing market. Originality/value The study contributes to the literature by empirically analyzing housing market in Baku, Azerbaijan. Research produces new practically valuable findings.
The return to education and the gender wage gap are essential issues in the public policy decision-making. Return to wage from attainment of each additional educational level can be a valuable incentive to stimulate people towards higher levels of schooling. The study investigates the return from a higher level of education to hourly earnings and the gap in “returns” due to gender identity differences in the case of Azerbaijan, a resource-rich developing country. We argue that a return to hourly wage from an additional level of education is positive and moderated by gender identity. Based on a pooled cross-sectional dataset (N=4548, n_male=2617; n_female=1931,〖Mean〗_age=34.18), empirical results support the research hypothesis and display a continuous positive return from education attainment. Simultaneously, a lesser return is identified for females. The gender return gap extends further for post-bachelor degrees. The results of this research can help deliver the message of “to earn more, learn more” at the micro-level and aid public policy officials in designing educational and gender-related policies at the macro level.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.