The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Geoff Boeing - One of the best experts on this subject based on the ideXlab platform.
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online Rental Housing market representation and the digital reproduction of urban inequality
Environment and Planning A, 2020Co-Authors: Geoff BoeingAbstract:As the Rental Housing market moves online, the internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a repro...
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Rental Housing spot markets how online information exchanges can supplement transacted rents data
Journal of Planning Education and Research, 2020Co-Authors: Geoff Boeing, Jake Wegmann, Junfeng JiaoAbstract:Traditional U.S. Rental Housing data sources such as the American Community Survey and the American Housing Survey report on the transacted market—what existing renters pay each month. They do not ...
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Rental Housing spot markets how online information exchanges can supplement transacted rents data
Research Papers in Economics, 2020Co-Authors: Geoff Boeing, Jake Wegmann, Junfeng JiaoAbstract:Traditional US Rental Housing data sources such as the American Community Survey and the American Housing Survey report on the transacted market - what existing renters pay each month. They do not explicitly tell us about the spot market - i.e., the asking rents that current homeseekers must pay to acquire Housing - though they are routinely used as a proxy. This study compares governmental data to millions of contemporaneous Rental listings and finds that asking rents diverge substantially from these most recent estimates. Conventional Housing data understate current market conditions and affordability challenges, especially in cities with tight and expensive Rental markets.
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Online Rental Housing market representation and the digital reproduction of urban inequality
Environment and Planning A: Economy and Space, 2019Co-Authors: Geoff BoeingAbstract:As the Rental Housing market moves online, the Internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information inequalities. Biases in online listings' representativeness could impact different communities' access to Housing search information, reinforcing traditional information segregation patterns through a digital divide. They could also circumscribe Housing practitioners' and researchers' ability to draw broad market insights from listings to understand Rental supply and affordability. This study examines millions of Craigslist Rental listings across the US and finds that they spatially concentrate and over-represent whiter, wealthier, and better-educated communities. Other significant demographic differences exist in age, language, college enrollment, rent, poverty rate, and household size. Most cities' online Housing markets are digitally segregated by race and class, and we discuss various implications for residential mobility, community legibility, gentrification, Housing voucher utilization, and automated monitoring and analytics in the smart cities paradigm. While Craigslist contains valuable crowdsourced data to better understand affordability and available Rental supply in real-time, it does not evenly represent all market segments. The Internet promises information democratization, and online listings can reduce Housing search costs and increase choice sets. However, technology access/preferences and information channel segregation can concentrate such information-broadcasting benefits in already-advantaged communities, reproducing traditional inequalities and reinforcing residential sorting and segregation dynamics. Technology platforms like Craigslist construct new institutions with the power to shape spatial economies.
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Online Rental Housing Market Representation and the Digital Reproduction of Urban Inequality
SocArXiv, 2019Co-Authors: Geoff BoeingAbstract:As the Rental Housing market moves online, the Internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information inequalities. Biases in online listings' representativeness could impact different communities' access to Housing search information, reinforcing traditional information segregation patterns through a digital divide. They could also circumscribe Housing practitioners' and researchers' ability to draw broad market insights from listings to understand Rental supply and affordability. This study examines millions of Craigslist Rental listings across the US and finds that they spatially concentrate and over-represent whiter, wealthier, and better-educated communities. Other significant demographic differences exist in age, language, college enrollment, rent, poverty rate, and household size. Most cities' online Housing markets are digitally segregated by race and class, and we discuss various implications for residential mobility, community legibility, gentrification, Housing voucher utilization, and automated monitoring and analytics in the smart cities paradigm. While Craigslist contains valuable crowdsourced data to better understand affordability and available Rental supply in real-time, it does not evenly represent all market segments. The Internet promises information democratization, and online listings can reduce Housing search costs and increase choice sets. However, technology access/preferences and information channel segregation can concentrate such information-broadcasting benefits in already-advantaged communities, reproducing traditional inequalities and reinforcing residential sorting and segregation dynamics. Technology platforms like Craigslist construct new institutions with the power to shape spatial economies, human interactions, and planners' ability to monitor and respond to urban challenges.
Michael D Eriksen - One of the best experts on this subject based on the ideXlab platform.
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Housing Vouchers and the Price of Rental Housing
2016Co-Authors: Michael D Eriksen, Amanda RossAbstract:Abstract. We estimate the effect of increasing the supply of Housing vouchers on rents using a panel of units in the American Housing Survey. We do not find that an increase in vouchers affected the overall price of Rental Housing, but do estimate differences in effects based on an individual unit’s rent before the voucher expansion. Our results are consistent with voucher recipients renting more expensive units after receiving the subsidy. We also find the largest positive price increases for units in relatively supply inelastic cities, suggesting policy makers should take local attributes into account with targeting future Housing subsidies
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Housing vouchers and the price of Rental Housing
American Economic Journal: Economic Policy, 2015Co-Authors: Michael D Eriksen, Amanda RossAbstract:Abstract We estimate the effect of increasing the supply of Housing vouchers on rents using a panel of Housing units in the American Housing Survey. We do not find that an increase in vouchers affe...
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Housing vouchers and the price of Rental Housing
Research Papers in Economics, 2014Co-Authors: Michael D Eriksen, Amanda RossAbstract:We estimate the effect of increasing the supply of Housing vouchers on rents using a panel of Housing units in the American Housing Survey. We do not find that an increase in vouchers affected the overall price of Rental Housing, but do estimate differences in effects based on an individual unit's rent before the voucher expansion. Our results are consistent with voucher recipients renting more expensive units after receiving the subsidy. We also find that the largest price increases were for units near the maximum allowable voucher rent in cities with an inelastic Housing supply.
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crowd out effects of place based subsidized Rental Housing new evidence from the lihtc program
Journal of Public Economics, 2010Co-Authors: Michael D Eriksen, Stuart S RosenthalAbstract:Abstract Since its inception in 1987, the Low Income Housing Tax Credit (LIHTC) program has ballooned into the largest ever source of subsidized construction of low-income Housing in the United States, accounting for one-third of all recent multi-family Rental construction. This paper examines the crowd out effects of this increasingly important source of low-moderate income Housing. To do so, we analyze the impact of LIHTC construction at three different levels of geography, MSA, county, and 10-mile radius circles. This allows us to employ increasingly extensive geographic fixed effects that help to difference away unobserved factors. Political variables are also used as instruments to further facilitate identification. In all of our models, IV estimates yield substantially greater crowd out than OLS, confirming the endogenous attraction of LIHTC development to areas ripe for new construction. Our most robust IV estimates indicate that nearly 100% of LIHTC development is offset by a reduction in the number of newly built unsubsidized Rental units, although the confidence band around this point estimate allows for less dramatic assessments. Additional estimates suggest that LIHTC development has a much more moderate impact on construction of owner-occupied Housing, but these estimates are imprecise. Overall, while LIHTC development may well affect the location of low-moderate income Rental Housing opportunities, our estimates suggest that the impact of the program on the number of newly developed Rental Housing units appears to be small.
Hongxing Yang - One of the best experts on this subject based on the ideXlab platform.
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a comprehensive sensitivity study of major passive design parameters for the public Rental Housing development in hong kong
Energy, 2015Co-Authors: Xi Chen, Hongxing Yang, Weilong ZhangAbstract:This paper presents a comprehensive SA (sensitivity analysis) of the typical PRH (public Rental Housing) development in Hong Kong based on a combined building energy, daylight and AFN (airflow network) simulation. A generic building model is constructed with a proposed MM (mixed-mode) ventilation control strategy to fulfill the thermal comfort requirement in the local green building guidance. The numerical modeling results are used to conduct both local and global sensitivity analyses to determine the relative importance of major passive design parameters, which comprehensively cover design aspects of the building layout, envelop thermophysics, building geometry and infiltration & air-tightness. The calculated global and local sensitivity indices on the cooling energy prove that the window solar heat gain coefficient, window to ground ratio, external obstruction and overhang projection fraction are the four most influential passive design factors. Similar results are also obtained when the lighting energy is specified as the output of the sensitivity analysis. The optimized building model derived from the sensitivity analysis is anticipated to achieve an energy saving of 41.6% compared to the baseline model as stipulated by the local building regulation. It is believed that sensitivity analysis is useful for identifying crucial design parameters to facilitate further optimization of the building performance in early architectural design stages.
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combined thermal and daylight analysis of a typical public Rental Housing development to fulfil green building guidance in hong kong
Energy and Buildings, 2015Co-Authors: Xi Chen, Hongxing YangAbstract:Abstract This paper presents a combined daylight, airflow network and building energy simulation of a Public Rental Housing (PRH) development in Hong Kong to fulfil the requirement of the local green building guidance. The numerical modelling results are partly validated by on-site measurements during the period with the highest monthly average outdoor temperature. Different ventilation control strategies are simulated to optimize natural ventilation performance. The simulation results show that the full-day ventilation strategy contributes to a lower average and peak indoor temperatures compared to the non-ventilation and night-ventilation scenarios. The indoor operative temperature of a worst-case vacant flat lies under the upper 80% acceptability limits in ASHRAE 55 during 67.5% of the modelled period in July. On the other side, at least 95.6% of the habitable area in the case buildings is predicted to experience a higher average daylight factor of 1% compared with the local green building guidance. Furthermore, the energy saving potential of the combined natural ventilation and daylight strategies is anticipated to be 51.9% for air-conditioning and 8.3% for lighting compared to a baseline building, respectively.
Amanda Ross - One of the best experts on this subject based on the ideXlab platform.
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Housing Vouchers and the Price of Rental Housing
2016Co-Authors: Michael D Eriksen, Amanda RossAbstract:Abstract. We estimate the effect of increasing the supply of Housing vouchers on rents using a panel of units in the American Housing Survey. We do not find that an increase in vouchers affected the overall price of Rental Housing, but do estimate differences in effects based on an individual unit’s rent before the voucher expansion. Our results are consistent with voucher recipients renting more expensive units after receiving the subsidy. We also find the largest positive price increases for units in relatively supply inelastic cities, suggesting policy makers should take local attributes into account with targeting future Housing subsidies
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Housing vouchers and the price of Rental Housing
American Economic Journal: Economic Policy, 2015Co-Authors: Michael D Eriksen, Amanda RossAbstract:Abstract We estimate the effect of increasing the supply of Housing vouchers on rents using a panel of Housing units in the American Housing Survey. We do not find that an increase in vouchers affe...
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Housing vouchers and the price of Rental Housing
Research Papers in Economics, 2014Co-Authors: Michael D Eriksen, Amanda RossAbstract:We estimate the effect of increasing the supply of Housing vouchers on rents using a panel of Housing units in the American Housing Survey. We do not find that an increase in vouchers affected the overall price of Rental Housing, but do estimate differences in effects based on an individual unit's rent before the voucher expansion. Our results are consistent with voucher recipients renting more expensive units after receiving the subsidy. We also find that the largest price increases were for units near the maximum allowable voucher rent in cities with an inelastic Housing supply.
Moussa Diop - One of the best experts on this subject based on the ideXlab platform.
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information asymmetry regulations and equilibrium outcomes theory and evidence from the Housing Rental market
Real Estate Economics, 2021Co-Authors: Brent W Ambrose, Moussa DiopAbstract:Following the financial crisis, Rental markets in the U.S. remain tight. It is unclear, however, whether the shortfall in Rental Housing supply is transitory or structural. We explore the role of information asymmetry and regulations on equilibrium outcomes in Rental markets in order to document the role of government regulations in reducing Rental supply. We show that while landlords price the cost of regulations into rent, they also invest in tenant screening as regulation costs soar, restricting access to privately-supplied Rental Housing. Although the additional tenant screening is understandable, its magnitude is somewhat surprising.
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information asymmetry regulations and equilibrium outcomes theory and evidence from the Housing Rental market
Real Estate Economics, 2021Co-Authors: Brent W Ambrose, Moussa DiopAbstract:We explore the role of information asymmetry and regulations on equilibrium outcomes in Rental markets to show that while landlords price the cost of regulations into rent, they also invest in tenant screening to alleviate information asymmetry, thus restricting access to Rental Housing. We are the first to document this additional tenant screening in response to regulations.
