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Full-Text Articles in Urban Studies

Housing Policies In Singapore: Evaluation Of Recent Proposals And Recommendations For Reform, Sock Yong Phang, David K. C. Lee, Alan Cheong, Kok Fai Phoon, Karol Wee Sep 2014

Housing Policies In Singapore: Evaluation Of Recent Proposals And Recommendations For Reform, Sock Yong Phang, David K. C. Lee, Alan Cheong, Kok Fai Phoon, Karol Wee

Research Collection Lee Kong Chian School Of Business

The Singapore housing market is unusual in its high homeownership rate, the dominance of HDB housing, and the extensive intervention of the government in regulating housing supply and demand in both the HDB and private housing sectors. Recent rapid population increases in a low interest rate and high global liquidity environment has resulted in accelerated house prices increases in Singapore. Earlier this year, the government launched “Our Singapore Conversation” of which discussion on housing policies constitutes one major component. This “conversation” comes in the wake of several consecutive rounds of measures to stabilize housing prices using various instruments. This paper ...


The Effects Of Demographics On The Real Estate Market In The United States And China, Henry Li Jun 2014

The Effects Of Demographics On The Real Estate Market In The United States And China, Henry Li

Honors College Theses

This paper focuses on the demographic and economic factors that affect the changes in prices of the housing market. The study focuses on the United States housing market after its recent collapse due to the US financial crisis of 2008. It also looks at the Chinese housing market based on the determinants that are observed in the United States. It will also examine the after effects of the One Child Policy enacted in 1979 on the housing prices. The study will look at the current situation with the Chinese housing market and its similarities to the United States housing market ...


Exploring The Neighborhood Preferences Of A Segment Of Millennials In Omaha, Nebraska, Aaron Kloke Apr 2014

Exploring The Neighborhood Preferences Of A Segment Of Millennials In Omaha, Nebraska, Aaron Kloke

Community and Regional Planning Program: Professional Projects

In 2010, Millennials, or those between 18 and 34, surpassed the Baby Boomers in population size. Today, Millennials, also known as Generation Y, make up over 25 percent of the United States’ population. In Omaha, they make up 26.9 percent of the population. The next largest generation in Omaha, the Baby Boomers, make for 19.2 percent of the population. Clearly, this emerging demographic has the ability to change the way we create and design our built environment if it so chooses.

To review how this generation may choose to change the way we design our future neighborhoods, national ...


Evaluating Spatial Model Accuracy In Mass Real Estate Appraisal: A Comparison Of Geographically Weighted Regression And The Spatial Lag Model, Paul E. Bidanset, John R. Lombard Jan 2014

Evaluating Spatial Model Accuracy In Mass Real Estate Appraisal: A Comparison Of Geographically Weighted Regression And The Spatial Lag Model, Paul E. Bidanset, John R. Lombard

School of Public Service Faculty Publications

Geographically weighted regression (GWR) has been shown to greatly increase the performance of ordinary least squares-based appraisal models, specifically regarding industry standard measurements of equity, namely the price-related differential and the coefficient of dispersion (COD; Borst and McCluskey, 2008; Lockwood and Rossini, 2011; McCluskey et al., 2013; Moore, 2009; Moore and Myers, 2010). Additional spatial regression models, such as spatial lag models (SLMs), have shown to improve multiple regression real estate models that suffer from spatial heterogeneity (Wilhelmsson, 2002). This research is performed using arms-length residential sales from 2010 to 2012 in Norfolk, Virginia, and compares the performance of GWR ...


The Effect Of Kernel And Bandwidth Specification In Geographically Weighted Regression Models On The Accuracy And Uniformity Of Mass Real Estate Appraisal, Paul E. Bidanset, John R. Lombard Jan 2014

The Effect Of Kernel And Bandwidth Specification In Geographically Weighted Regression Models On The Accuracy And Uniformity Of Mass Real Estate Appraisal, Paul E. Bidanset, John R. Lombard

School of Public Service Faculty Publications

The article presents a study which examines the performance of kernel and bandwidth specification in geographically weighted regression (GWR) models in mass real estate appraisal. The kernels employed in the study are the bi-square kernel and the Gaussian kernel. Data from the sales of single-family homes in Norfolk, Virginia from 2010 to 2012 are highlighted.