scholarly journals The Decision to Move House and Aggregate Housing-Market Dynamics

2020 ◽  
Vol 18 (5) ◽  
pp. 2487-2531 ◽  
Author(s):  
L Rachel Ngai ◽  
Kevin D Sheedy
Keyword(s):  
Housing Market ◽  
Market Dynamics ◽  
Match Quality ◽  
Market Conditions ◽  
Using Data ◽  
The U.S ◽  
Quantitative Importance

Abstract Using data on house sales and inventories, this paper shows that housing transactions are driven mainly by listings and less so by transaction speed, thus the decision to move house is key to understanding the housing market. The paper builds a model where moving house is essentially an investment in match quality, implying that moving depends on macroeconomic developments and housing-market conditions. The number of transactions has implications for welfare because each transaction reduces mismatch for homeowners. The quantitative importance of the decision to move house is shown in understanding the U.S. housing-market boom during 1995–2003. (JEL: D83, E22, R31)

scholarly journals ECONOMIC ACTIVITY, CREDIT MARKET CONDITIONS, AND THE HOUSING MARKET

2017 ◽  
Vol 22 (7) ◽  
pp. 1769-1789 ◽  
Author(s):  
Luca Agnello ◽  
Vitor Castro ◽  
Ricardo M. Sousa
Keyword(s):  
Housing Market ◽  
Economic Activity ◽  
Hazard Function ◽  
Credit Market ◽  
European Countries ◽  
Market Conditions ◽  
Industrial Countries ◽  
Housing Boom ◽  
Main Determinants ◽  
Using Data

In this paper, we assess the characteristics of the housing market and its main determinants. Using data for 20 industrial countries over the period 1970Q1–2012Q2 and a discrete-time Weibull duration model, we find that the likelihood of the end of a housing boom or a housing bust increases over time. Additionally, we show that the different phases of the housing market cycle are strongly dependent on the economic activity, but credit market conditions are particularly important in the case of housing booms. The empirical findings also indicate that although housing booms have similar lengths in European and non-European countries, housing busts are typically shorter in European countries. The use of a more flexible specification for the hazard function that is based on cubic splines suggests that it evolves in a nonlinear way. From a policy perspective, our study can be useful for predicting the timing and the length of housing boom–bust cycles. Moreover, it highlights the importance of monetary policy by influencing lending rates and affecting the likelihood of occurrence of housing booms.

scholarly journals An Interdisciplinary Assessment of South Korea's Post-2002 Real Estate Anti-Speculation Policies

2011 ◽  
Vol 12 (1) ◽  
pp. 105-117
Author(s):  
Jasper Kim ◽  
Hannah Jun
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Policy Implication ◽  
Market Dynamics ◽  
Subprime Crisis ◽  
South Korean ◽  
Regulatory Policies ◽  
Interdisciplinary Assessment ◽  
Regulatory Economic ◽  
The U.S

What factors fuelled the South Korean property boom since 2002, and whar (if anything) can be done to prevent a U.S.-style subprime crisis in the local real estate markers? This issue has grown even more urgent given observations of a potential bubble and burst scenario following the U.S. sub-prime crisis. This paper aims to bring together these concerns, from an interdisciplinary regulatory, economic and socio-cultural per-spective, by (1) providing a comprehensive and current overview of housing market dynamics in Korea, (2) examining South Korea's real estate regulatory policies since 2002 with-statistical evidence from the Bank of Korea (BOK), and (3) providinga brief policy implication and suggestion sectionre-garding the Korean housing marker conditions in the post-subprime crisis era.

Immigration and the tech industry: As a labour shortage remedy, for innovation, or for cost savings?

2013 ◽  
Vol 10 (2) ◽  
pp. 201-227 ◽  
Author(s):  
Norman Matloff
Keyword(s):  
Immigration Policy ◽  
Brain Drain ◽  
Cost Savings ◽  
Foreign Workers ◽  
Service Firms ◽  
It Service ◽  
Labour Shortage ◽  
Labour Costs ◽  
Using Data ◽  
The U.S

The two main reasons cited by the U.S. tech industry for hiring foreign workers--remedying labour shortages and hiring "the best and the brightest"--are investigated, using data on wages, patents, and R&D work, as well as previous research and industry statements. The analysis shows that the claims of shortage and outstanding talent are not supported by the data, even after excluding the Indian IT service firms. Instead, it is shown that the primary goals of employers in hiring  foreign workers are to reduce labour costs and to obtain "indentured" employees. Current immigration policy is causing an ‘Internal Brain Drain’ in STEM.

Chasing Trends in the U.S. Housing Market

2011 ◽  
Author(s):  
Roy R. P. Kouwenberg ◽  
Remco C. J. Zwinkels
Keyword(s):  
Housing Market ◽  
The U.S

scholarly journals Speculative housing markets and rent control: insights from nonlinear economic dynamics

2021 ◽  
Author(s):  
Noemi Schmitt ◽  
Frank Westerhoff
Keyword(s):  
Housing Market ◽  
Housing Stock ◽  
House Price ◽  
Housing Markets ◽  
Market Model ◽  
Market Dynamics ◽  
Rent Control ◽  
Forecasting Accuracy ◽  
Expectation Formation ◽  
Rent Level

AbstractWe propose a novel housing market model to explore the effectiveness of rent control. Our model reveals that the expectation formation and learning behavior of boundedly rational homebuyers, switching between extrapolative and regressive expectation rules subject to their past forecasting accuracy, may create endogenous housing market dynamics. We show that policymakers may use rent control to reduce the rent level, although such policies may have undesirable effects on the house price and the housing stock. However, we are also able to prove that well-designed rent control may help policymakers to stabilize housing market dynamics, even without creating housing market distortions.

scholarly journals POWER LAWS IN REAL ESTATE PRICES DURING BUBBLE PERIODS

2012 ◽  
Vol 16 ◽  
pp. 61-81 ◽  
Author(s):  
TAKAAKI OHNISHI ◽  
TAKAYUKI MIZUNO ◽  
CHIHIRO SHIMIZU ◽  
TSUTOMU WATANABE
Keyword(s):  
Real Estate ◽  
Power Law ◽  
House Price ◽  
Power Laws ◽  
Cross Sectional ◽  
Price Distribution ◽  
Before And After ◽  
Real Estate Prices ◽  
Using Data ◽  
The U.S

How can we detect real estate bubbles? In this paper, we propose making use of information on the cross-sectional dispersion of real estate prices. During bubble periods, prices tend to go up considerably for some properties, but less so for others, so that price inequality across properties increases. In other words, a key characteristic of real estate bubbles is not the rapid price hike itself but a rise in price dispersion. Given this, the purpose of this paper is to examine whether developments in the dispersion in real estate prices can be used to detect bubbles in property markets as they arise, using data from Japan and the U.S. First, we show that the land price distribution in Tokyo had a power-law tail during the bubble period in the late 1980s, while it was very close to a lognormal before and after the bubble period. Second, in the U.S. data we find that the tail of the house price distribution tends to be heavier in those states which experienced a housing bubble. We also provide evidence suggesting that the power-law tail observed during bubble periods arises due to the lack of price arbitrage across regions.

Conditions for the Introduction of Regulation for Short-Term Rentals

2021 ◽  
Vol 8 (1) ◽  
pp. 159-170
Author(s):  
Vilim Brezina ◽  
◽  
Jan Polívka ◽  
Martin Stark ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Housing Market ◽  
Housing Stock ◽  
Qualitative Comparative Analysis ◽  
Short Term ◽  
Market Conditions ◽  
Qualitative And Quantitative ◽  
Market Situation ◽  
Necessary And Sufficient ◽  
German Cities

Most cities in major agglomerations in Europe started to address the rise of short-term accommodation rentals by introducing regulation designed to protect the local housing stock. The momentum behind the widespread introduction of such regulations can be attributed to qualitative and quantitative factors. This article examines selected fields related to short-term rentals in order to uncover the (structural) triggers or conditions that are necessary and sufficient for municipalities to initiate the regulation of their housing market. The study is based on the systematic examination of the effects of those triggers and their combinations using qualitative comparative analysis (QCA). With this method, we explore the implementation or non-implementation of regulation on a sample of major German cities. The results suggest a universal set of conditions covering three central fields: housing market situation, accommodation market conditions and tourism accommodation demand.

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