scholarly journals International Real Estate Review

2021 ◽  
Vol 24 (1) ◽  
pp. 19-58
Author(s):  
Zongyuan Li ◽  
◽  
Rose Lai ◽  
Keyword(s):  
House Prices ◽  
Balance Sheet ◽  
Housing Markets ◽  
Metropolitan Statistical Area ◽  
Liquidity Shocks ◽  
Balance Sheet Liquidity ◽  
Using Data ◽  
Fundamental Values ◽  
Statistical Area ◽  
The U.S

This paper is about investigating how different bank liquidity creation activities affect housing markets. Using data of 401 metropolitan statistical areas/metropolitan statistical area divisions (MSAs/MSADs) of the U.S. between 1990 and 2018, we show that not all bank liquidity creation activities boost the housing markets. In particular, unlike assetside and off- balance sheet liquidity creations, funding-side liquidity creation dampens housing markets. The relationships between liquidity creation activities and housing markets are stronger in regions with inelastic house supply, but flip when banks face external liquidity shocks. We also find that housing markets dominated by large banks are more sensitive to off-balance sheet liquidity creation activities. Finally, as expected, asset-side and off-balance sheet liquidity creations boost housing markets by driving house prices away from fundamental values. Our results offer a more thorough explanation of how bank liquidity creation fuels the momentum of housing markets.

Hot and cold seasons in Texas housing markets

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa Hattapoglu ◽  
Indrit Hoxha
Keyword(s):  
Design Methodology ◽  
National Level ◽  
Housing Markets ◽  
Metropolitan Statistical Area ◽  
Macroeconomic Factors ◽  
Content Type ◽  
Metropolitan Statistical Areas ◽  
Two Measures ◽  
Mortgage Rates ◽  
Statistical Area

Purpose This paper aims to use statistical analyses to understand the trends on housing liquidity and pricing by accounting for macroeconomic factors that vary at national level and at metropolitan statistical area level for all metropolitan statistical areas in Texas. In addition, the authors test for seasonality in all the metropolitan statistical areas in Texas. Design/methodology/approach Using publicly available data from Zillow a listing website, the authors conduct an analysis of all housing markets at metropolitan statistical area level in Texas to understand the factors that drive the liquidity and pricing. The authors use two measures for liquidity, namely, time to sell the house and sales to list ratio. The authors also try to understand the decision to lower the price of the listed houses. In addition, the authors conduct a test for seasonality within the year in these housing markets. Findings The analyses conclude that there is a significant impact of listing prices, unemployment rates, 30-year mortgage rates, consumer sentiment and oil price changes on the liquidity of the housing markets and decisions of sellers to adjust the prices down. In addition, the authors provide evidence of the existence of seasonality in most metropolitan statistical areas in Texas both for pricing and volume of transactions. Originality/value This is the first study to look at housing liquidity and pricing trends for about 25 markets in Texas. In addition, the authors provide evidence of the importance of oil prices for the housing markets in Texas metropolitan statistical areas.

scholarly journals International Real Estate Review

2020 ◽  
Vol 23 (1) ◽  
pp. 65-106
Author(s):  
Mohsen Bahmani-Oskooee ◽  
◽  
Seyed Ghodsi ◽  
Keyword(s):  
House Prices ◽  
House Price ◽  
Oil Prices ◽  
Asymmetric Effects ◽  
Long Run ◽  
Short Run ◽  
Using Data ◽  
Almost All ◽  
The Impact ◽  
The U.S

Since oil is used as an input in the production and delivery process, any change in its price can affect almost all sectors of an economy. Researchers have tried to assess the impact of the rising price of oil on domestic production, inflation, investment, the stock market, etc. In order to determine if inflationary effects of rising oil prices have spread to house prices in the U.S., unlike previous research, we investigate the link between oil prices and house prices by using data from each state of the U.S. Furthermore, for the first time, we engage in asymmetry analysis and find short-run asymmetric effects in almost all of the states but short-run cumulative effects or asymmetric impact in 15 states. Although we also find significant long-run asymmetric effects in 26 states, the results reveal that an increase in oil prices has contributed to house price increase in only 11 states and a decrease in oil prices lowered house prices in only three states.

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.

scholarly journals The Global Domain of the Dollar: Eight Questions

2020 ◽  
Vol 48 (4) ◽  
pp. 421-429
Author(s):  
Robert N. McCauley
Keyword(s):  
Economic Activity ◽  
Balance Sheet ◽  
The United States ◽  
Fiscal Deficits ◽  
Exorbitant Privilege ◽  
The World ◽  
World Economic ◽  
Dollar Debt ◽  
The 1960S ◽  
The U.S

Abstract Since the late 1950s, the rest of the world has come to use the dollar to an extent that justifies speaking of the dollar’s global domain. The rest of the world denominates much debt in U.S. dollars, extending U.S. monetary policy’s sway. In addition, in outstanding foreign exchange deals, the rest of the world has undertaken to pay still more in U.S. dollars: off-balance-sheet dollar debts buried in footnotes. Consistent with the scale of dollar debt, most of the world economic activity takes place in countries with currencies tied to or relatively stable against the dollar, forming a dollar zone much larger than the euro zone. Even though the dollar assets of the world (minus the United States) exceed dollar liabilities, corporate sector dollar debts seem to make dollar appreciation akin to a global tightening of credit. Since the 1960s, claims that the dollar’s global role suffers from instability and confers great benefits on the U.S. economy have attracted much support. However, evidence that demand for dollars from official reserve managers forces unsustainable U.S. current account or fiscal deficits is not strong. The so-called exorbitant privilege is small or shared. In 2008 and again in 2020, the Federal Reserve demonstrated a willingness and capacity to backstop the global domain of the dollar. Politics could constrain the Fed’s ability to backstop the growing share of the domain of the dollar accounted for by countries that are not on such friendly terms with the U.S.

scholarly journals Housing wealth, mortgages and Australians’ labour force participation in later life

Urban Studies ◽  
2021 ◽  
pp. 004209802110265
Author(s):  
Rachel Ong ◽  
Gavin A Wood ◽  
Melek Cigdem
Keyword(s):  
Household Income ◽  
House Prices ◽  
Labour Force ◽  
Housing Markets ◽  
Later Life ◽  
Labour Force Participation ◽  
Urban Housing ◽  
Housing Wealth ◽  
Working Lives ◽  
Imputed Rent

In the life cycle model of consumption and saving, homeownership is an important vehicle for horizontal redistribution. Households accumulate wealth in owner-occupied housing during working lives before benefiting from imputed rent streams in retirement. But in some countries housing wealth’s welfare role has broadened as owners increasingly use flexible mortgages to smooth consumption during working lives. One consequence is higher outstanding mortgages later in life, a burden exacerbated by high real house prices that compel home buyers to demand mortgages that are a growing multiple of their incomes. We investigate whether these developments are prompting longer working lives, an idea that is especially relevant in countries offering relatively low government pensions. Australia is one such country. We use the 2001–2017 panels of the Household, Income and Labour Dynamics in Australia Survey to estimate hazard models of exits from the Australian labour force as workers approach pensionable age. We find that those with high outstanding mortgage debts are more likely to postpone retirement, as are those with relatively low amounts of private pension wealth. These results are stronger in urban housing markets, and especially among males.

scholarly journals House Prices, Home Equity-Based Borrowing, and the U.S. Household Leverage Crisis

2010 ◽  
Author(s):  
Atif R. Mian ◽  
Amir Sufi
Keyword(s):  
House Prices ◽  
Home Equity ◽  
The U.S

The growth impact of the metropolitan statistical area designation

2007 ◽  
Vol 42 (2) ◽  
pp. 307-319 ◽  
Author(s):  
George W. Hammond ◽  
Brian J. Osoba
Keyword(s):  
Metropolitan Statistical Area ◽  
Statistical Area

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.

Using Profiles of Human and Social Capital to Understand Adult Immigrants’ Education Needs: A Latent Class Approach

2018 ◽  
Vol 69 (1) ◽  
pp. 3-23 ◽  
Author(s):  
Calonie M. K. Gray
Keyword(s):  
Social Capital ◽  
Adult Learners ◽  
Latent Class ◽  
Service Providers ◽  
Education Needs ◽  
International Assessment ◽  
Using Data ◽  
Adult Immigrants ◽  
Human And Social Capital ◽  
The U.S

With the U.S. adult education system providing education services to millions of immigrants annually, understanding the unique skills and assets among adult immigrant learners is important. Using data from the U.S. Program for the International Assessment of Adult Competencies, this study used data on immigrants ( n = 1,873) to identify latent classes along dimensions of human and social capital. Latent class analysis indicated five discrete profiles: High Opportunity, Upskill Ready, Satisfactorily Skilled, Motivated and Engaged, and Highly Skilled. The results provide support for using customized education approaches to capitalize on the collection of assets adult learners have while concurrently increasing education service providers’ capacity to serve.

scholarly journals The Impact of Single-Family Rental REITs on Regional Housing Markets: A Case Study of Nashville, TN

Societies ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 93 ◽  
Author(s):  
Ken Chilton ◽  
Robert Silverman ◽  
Rabia Chaudhrey ◽  
Chihaungji Wang
Keyword(s):  
Real Estate ◽  
Census Data ◽  
Housing Markets ◽  
Future Research ◽  
Individual Investors ◽  
Single Family ◽  
Real Estate Investment ◽  
Wealth Concentration ◽  
The Impact ◽  
The U.S

The U.S. Congress authorized the creation of real estate investment trusts (REITs) in 1960 so companies could develop publically traded real estate investment portfolios. REITs focus on commercial property, retail property, and rental property. During the last decade, REITs became more active in regional housing markets across the U.S. Single-family rental (SFR) REITs have grown tremendously, buying up residential properties across the country. In some regional housing markets, SFR REITs own noticeable shares of single-family homes. In those settings, SFR REITs take large numbers of housing units off of real estate markets where homeownership transactions occur and manage these properties as part of commercial rental inventories. This has resulted in a new category of multiple property owners, composed of institutional investors as opposed to individual investors, which further exacerbates property wealth concentration and polarization. This study examines the socio–spatial distribution of properties in SFR REIT portfolios to determine if SFR REIT properties tend to cluster in distinct areas. This study will focus on the regional housing market in Nashville, TN. Nashville has one of the most active SFR REIT sectors in the country. County tax assessor records were used to identify SFR REIT properties. These data were joined with U.S. Census data to create a profile of communities. The data were analyzed using SPSS statistical software and GIS software. Our analysis suggests that neighborhoods with clusters of SFR REITs fit the SFR REIT business model. Clusters occur in communities with newer homes, residents with higher levels of educational attainment, and middle to upper-middle incomes. The paper concludes with several recommendations for future research on SFR REITs.

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