Financial
Development, Real Estate Development and Economic Development
The
Relationship between Housing Price, Tenure Choice and Saving Behavior
in
Taiwan
Li-Min Hsueh
Spatial
Autocorrelation in a Retail Context
Housing
Affordability and Upward Mobility from Public to Private Housing
in Singapore
Housing
Demand in Tokyo
Over-Confidence
and Cycles in Real Estate Markets: Cases in Hong Kong and Asia
Life Cycle, Mortgage Payment, and Forced Savings
Make It Simple and Light: Some Thoughts on Real Estate Related
Taxation in China

Financial
Development, Real Estate Development and Economic Development
Sheridan Titman
Graduate School of Businese, Finance Department, The University
of Texas at Austin, Austin, Texas 78712-1179 or titman@mail.utexas.ed
The Relationship between Housing
Price, Tenure Choice and Saving Behavior in Taiwan
Li-Min Hsueh
Chung-Hua Institution for Economic Research, 75 Chang-Hsing St.,
Taipei, Taiwan 106 or lmhsueh@mail.cier.edu.tw
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The purpose
of this research is to empirically test whether house price increases
are an important factor in a household's saving decisions and
whether housing tenure choice and saving behavior are inter-correlated
in Taiwan.
Heckman's
two-stage procedure for correcting sample bias in used in the
estimation of saving function for homeowners and renters. Household
survey data from 1985, 1989 and 1993 are used to compare households'
saving behavior at different times.
The empirical
results show that in some cases the coefficients of the two different
definitions of house price increases have opposite signs. These
differences may be the result of different behavior motives. House
price increases with respect to the price of the house itself
seem to cause concern among households about future housing prices;
hence, increase their savings ratio. House price increases with
respect to income, however, seem to cause a wealth effect and
then decreased savings ratio. Considering the complexity of households'
reaction, the overall effect of house price changes on the aggregate
savings ratio becomes impossible to determine.
Keywords
Housing Price, Tenure Choice, Household Saving Behavior, Hedonic
Price Method, Sample Selection Bias.
Spatial Autocorrelation in a Retail
Context
Charles C. Carter
National Transportation Center, Morgan State University, 1700
E, Cold Sping Lane, Baltimore, MD 21251, USA or ccarter@eng.morgan.edu
William
J. Haloupek
Lockheed Martin Corporation, Moorestown, New Jersey, USA
This paper
describes and applies the weighted least squares (WLS) technique
that corrects for spatial autocorrelation in the residuals of
hedonic regression. Most empirical studies to date have focused
on spatial autocorrelation in the housing market, i.e., single
family home valuation. This study focuses on mall stores within
shopping centers, with an emphasis on retail site selection within
the mall.
Keywords
Spatial autocorrelation, hedonic modeling, big rent, retail renta
Housing
Affordability and Upward Mobility from Public to Private Housing
in Singapore
Seow Eng Ong
Center for Real Estate Studies, Department of Real Estate, National
University of Singapore, Singapore or seong@nus.edu.sg
This paper
examines the ability of buyers to afford and upgrade to private
housing using the experience in land scarce Singapore as a case
study. The concepts of the "threshold buyer" and "threshold
upgrader" are introduced to construct an operational inter-temporal
model of affordability and upward mobility, taking into consideration
income, mortgage rates, prices of public housing flats and the
legislative/financing framework in Singapore. The theoretical
private property price computed by the upward mobility model is
the lower bound dictated by affordability and cash outlay considerations
such that buyer/upgrader is no better or worse off arising from
changes in the relevant factors over time. The model in empirically
tested to evaluate the theoretical underpinning as well as the
ability of the model to predict private property price. Finally,
the paper examines the implications for housing ownership policy
in a wider context.
Keywords
Housing, affordability, upgrade, property price, mortgage rate,
income.
Housing
Demand in Tokyo
Piyush Tiwari
Institute of Policy and Planning Sciences, University of Tsukuba
305 8573 Japan or tiwari@sk.tsukuba.ac.jp
Housing policy
formulation should be informed by a careful understanding of the
behavior of the housing market, as reflected by housing demand.
Such basic information is important, not only for improved project
design but also for the development of better sector-wide policies.
Housing is a complex outcome of cultural, economic and regulatory
environment. Consistent estimates of price and income elasticity
housing demand are prerequisites for effective policy design.
Results, from earlier studies on Japanese housing markets, are
inconclusive and the estimates of price and income elasticity
of housing demand vary over a wide range. It may be argued that
measuring the volume of housing services as housing expenditure,
as is done in previous research, essentially ignores the heterogeneity,
and for large number of policy purposes like impact of tax on
tenure choice, choice between owning and renting etc., the distribution
of housing consumption into qualitatively different categories
is of more interest than an aggregate qualitative measure of housing
expenditure alone. This paper analyzes the demand for housing
in Tokyo using a discrete choice model. Three structure type (as
type of unit) determine demand for housing which are modeled simultaneously.
The income elasticity of market share of ownership house in positive
and ranges between 0.16 to 0.34. However, income own price elasticties
vary over large range from -0.03 to -5.1 with smaller in magnitude
for ownership houses and larger for rental houses.
Keywords
Housing demand, Discrete choice model; Nested Multinomial Logit
Model.
Over-Confidence
and Cycles in Real Estate Markets: Cases in Hong Kong and Asia
Ko Wang
Faculty of Business Administration, The Chinese University of
Hong Kong or Kowang@chuhk.edu.hk,
and Department of Finance, California State University-Fullerton
Yuqing
Zhou
Department of Finance, The Chinese University of Hong Kong or
zhou@baf.msmail.cuhk.edu.hk
Su
Han Chan
Faculty of
Business, The University of Hong Kong or schan@business.hku.hk,
and Department of Finance, California State University - Fullerton
K.
W. Chau
Department
of Real Estate and Construction, The University of Hong Kong or
hrrbckw@hku.hk
Studies on
the calibration of subjective probabilities find that people tend
to over-estimate the precision of their knowledge. In this paper
we develop a semi-rational model and apply it to the real estate
markets in Hong Kong and other Asian countries. The key point
is that a person is rational about her/his private information
until her/his private information is confirmed by a clearly defined
market signal. Using a pre-sale as a mechanism of updating a overbuilding
and cycles in real estate markets. Our finding indicates that
a pre-sale activity will increase the magnitude of over-building
and over-confidence to the well-established literature dealing
with the issue of over-capacity in many industrial sectors.
Keywords
Market signal, over capacity, pre-sale, real estate cycle, semi-ration
model.
Life
Cycle, Mortgage Payment, and Forced Savings
Chu-Chia Lin
Department of Economics, National Chengchi University, Taipei,
Taiwan, or nccut001@nccu.edu.tw
Chien-Liang
Chen
Department of Economics, National Chengchi University, Taipei,
Taiwan, or clchen@nccu.edu.tw
Sue-Jing
Lin
Department of International Trade, Lung-Hwa Institute of Technology,
Taoyuan, Taiwan, or sjlin@mail.it.lhit.edu.tw
A common puzzling
phenomenon over the household survey of Taiwan is that the renters'
saving rate is higher than that of the owners', while the latter
has a higher average income than the former. One reason for this
feature is that certain housing owners have to pay a greater amount
of mortgage decision is correlated with the household's life cycle,
in addition to income. And therefore, when one tries to estimate
the correct saving rate, he or she has to consider the household's
life cycle as well.
In this study,
we apply a date set of the household survey of Taiwan to investigate
the correlation of life cycle, mortgage payment, and forced savings.
First of all, we estimate the saving rate in a traditional way,
and then estimate the saving rate after the adjustment of mortgage
payment. To figure out the correct saving rate with the tenure
decision, we evaluate different households' saving behaviors according
cohorts, and consequently, we could check how life cycle plays
its role in this model. And our finding is, that for every cohort,
the forced savings is significant for owners with mortgage and
for renters as well.
Keywords
Life Cycle, Mortgage Payment, Forced Savings.

Make
It Simple and Light: Some Thoughts on Real Estate Related Taxation
in China
Anthony Yanxiang Gu
Jones School of Business, State University of New York, Seoul,
115D South Hall, 1 College Circle, Geneseo, NY 14454, USA or gu@geneseo.edu
Joseph
W. Trefzger
Department of Finance, Insurance and Law, Illinois State University,
Normal, IL 61790-5480 or jwtrefz@ilstu.edu
This article
discusses the advantages and disadvantages of real estate-related
taxes that might be imposed in mainland China, in light of the
government's needs for tax revenue and the economy's need for
incentives to develop land. Some policy recommendations are presented,
based on an analysis of real estate taxation in general and of
China's specific needs. As one recent article has noted, understanding
how behavior adjusts in response to taxation is one of the most
important issues in public finance.
Keywords
China, Public Finance, Real Estate Taxation.

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