Hedonic Modeling of Singapore’s Resale Public Housing Market
By Jiakun Xu
The large-scale, high-density public housing market in Singapore invites hedonic analysis, due to its homogeneity in structure quality across all neighborhoods. This paper builds a time-dummy hedonic regression model incorporating geospatial features for a large dataset of resale transactions from 2000 to 2016. Significant anticipatory price effects are found for new subway stations, which peak at two years before station opening. A hedonic price index suggests that affordability was a problem during the sustained period of property price inflation from 2011 to 2013. District-level analysis shows evidence of increasing rent gradients, wealth disparities, and “lottery” effects in asset growth. I discuss the potential contributions of these insights to wealth and equity considerations in public policy
design.
Data available upon request. Email dus_asst@econ.duke.edu
Advisors: Charles Becker, Tracy Falba | JEL Codes: C21, R3, R31, R38, R41
The Effect of Federal Regulations on the Outcomes of Auctions for Oil and Gas Leaseholds
By Artur Shikhaleev
This thesis attempts to analyze the impact of the differences in regulatory frameworks that govern state-owned and federally-owned lands on the outcomes of auctions for oil and natural gas leaseholds in the state of New Mexico. The analysis tries to isolate the effect of ownership by controlling for auction structure, leasehold characteristics, and prices of underlying resources. Given past research, the hypothesis is that stricter regulations carry a heavier cost to buyers, so the expectation is that federally-owned leaseholds, which are more regulated, are traded at a discount to state-owned leaseholds. However, the result of this thesis is contradictory to the hypothesis. The conclusion is that stricter regulations do not lead to a discounted auction price for an oil and gas leasehold.
Advisor: James Roberts, Kent Kimbrough | JEL Codes: C12, C21, Q35, Q58 | Tagged: Auction, Education, environment, federal, natural gas, Oil, Regulation, State
