The baby boom,the baby bust,and the housing market

This paper explores the impact of demographic changes on the housing market in the US, 1st by reviewing the facts about the Baby Boom, 2nd by linking age and housing demand using census data for 1970 and 1980, 3rd by computing the effect of demand on price of housing and on the quantity of residential capital, and last by constructing a theoretical model to plot the predictability of the jump in demand caused by the Baby Boom. The Baby Boom in the U.S. lasted from 1946-1964, with a peak in 1957 when 4.3 million babies were born. In 1980 19.7% of the population were aged 20-30, compared to 13.3% in 1960. Demand for housing was modeled for a given household from census data, resulting in the finding that demand rises sharply at age 20-30, then declines after age 40 by 1% per year. Thus between 1970 and 1980 the real value of housing for an adult at any given age jumped 50%, while the real disposable personal income per capita rose 22%. The structure of demand is such that the swelling in the rate of growth in housing demand peaked in 1980, with a rate of 1.66% per year. Housing demand and real price of housing were highly correlated and inelastic. If this relationship holds in the future, the real price of housing should fall about 3% per year, or 47% by 2007. The theoretical model, a variation of the Poterba model, ignoring inflation and taxation, suggests that fluctuations in prices caused by changes in demand are not foreseen by the market, even though they are predictable in principle 20 years in advance. As the effects of falling housing prices become apparent, there may be a potential for economic instability, but people may be induced to save more because their homes will no longer provide the funds for retirement.     

A dymimic model of housing price determination

This paper presents and estimates a model of the resale housing market. The data are a cross-section of monthly time series obtained from the multiple-listing service for a suburb of San Diego. The model is specified and estimated as a dynamic multiple indicator multiple cause system of equations where the capitalization rate is taken to be an unobservable time series to be estimated jointly with the unknown parameters. These are estimated by maximum likelihood using an EM algorithm based upon Kalman filtering and smoothing.The specification of the model features hedonic equations for each house sale and a dynamic equation for the capitalization rate which is constrained to make the expectation of prices equal the present value of the net returns to home ownership whenever the economic variables stabilize at steady state values. Out of steady state, the capitalization rate slowly adapts to new information.The model attributes a large portion of housing price increases of the 1970's to a fall in the capitalization rate which in turn was driven by rental inflation, tax rates and mortgage rates. Post-sample simulations indicate an initial flattening of housing inflation rates and later a fall brought on by the increase in steady state capitalization rates. In-sample simulations show that although both Proposition 13 and the inflation induced rise in the marginal income tax rates provided partial explanations for the fall in capitalization rates, the single most important factor was the acceleration in price of housing services which interacted with the tax treatment of home ownership to produce an amazing 18% average annual rate of price increase over the last seven years of the 1970's.     

The baby boom and the housing market: Another look at the evidence

Based on tests for cointegration, the growth of housing demand resulting from the Baby Boom appears to be the major factor behind increased real residential investment, but not the major factor behind increased real housing prices in the postwar U.S. The housing market also passes a simple test for efficiency.     

Dividend paying assets,the unit root property,and suboptimality

We consider the stationary equilibria of one good overlapping generations (OLG) economies with a sequence of possibly incomplete asset markets and prove two results. First, we show that if some asset always pays a nonnegative dividend, then its price changes sign across states if and only if the Perron root of every agent’s matrix of intertemporal rates of substitution exceeds one. Second, we provide sufficient conditions in terms of dividends and asset prices such that, keeping asset prices fixed, a conditionally Pareto improving allocation is induced by a stationary reassignment of a single asset. When taken together the results show that when for some agent the Perron root exceeds one, the existence of an asset that pays a strictly positive dividend in every state is sufficient to induce an improvement.     

小产权房向公共租赁住房转化问题研究

小产权房的存在是“高房价”下的产物，它不仅损害农村集体成员的利益，也会给购买人造成不可避免的风险。以北京为例，目前小产权房问题屡禁不止。时下我国在大力发展公共租赁住房，以此为背景对北京目前存在的小产权房进行全面研究。首先分析目前小产权房存在的原因，再通过二者特征对比进而对其转化的可能性加以论证，最终提出小产权房向公共租赁住房转化的具体建议，以此来解决一直存在且屡禁不止的小产权房问题。     

Explaining regional variation in equilibrium real estate prices and income

We combine the real estate model of Potepan (1996) with the spatial equilibrium approach of Roback (1982) to prove the interdependency of housing prices, rental prices, building land prices and income via one simultaneous equilibrium analysis. Using unique cross-sectional data on the majority of German counties and cities for 2005, we estimate the equations in their structural and reduced form. The results show significantly positive interaction effects of income and real estate prices. Moreover, we can confirm model predictions concerning the majority of exogenous determinants. In particular, expectations about population development seem to be among the most important determinants of price and income disparities between regions in the long term.     

House Prices, Housing Investment and Demography Forecasts from the LBS/Abbey National Model of the UK Housing Market

A new housing sector has been incorporated into the London Business School model. This article outlines the new housing model, summarizes the research which has gone into its construction, and presents a forecast of the UK housing market. Using the new housing model, we forecast a moderate recovery in the housing market in the later part of 1991 and 1992. This recovery is however short-lived and does not result in such high rates of house price increase as previous house price booms (Chart 1).
Cuts in interest rates following entry to the exchange rate mechanism of the EMS prompt a recovery in house prices from the middle of 1991. House price inflation then peaks with an increase in average UK house prices in 1992 of 11 per cent over the previous year. Increases in real personal disposable income are modest, by the standards of the 1980s, and for this reason the recovery does not develop the momentum of previous house price booms. House price inflation moderates again in 1993 falling back to around 7 per cent. Housing starts and housing investment recover only slightly from their present depressed levels.
the recovery in house prices is weaker than that foreseen in our April Forecast Release. This is because real personal disposable income is now forecast to grow more slowly during 1991. Sterling's membership of the ERM is followed by a fall in interest rates, but it is the timing of interest rate cuts rather than their magnitude which differs from the earlier forecast. The changed profile of interest rates has altered the house price forecast only marginally.     

The Valuation of Real Capital: A Random Walk down Kungsgatan

This paper analyzes the temporal pattern of prices for single-family housing. We estimate models of house price dynamics using a repeat sales framework, and we use the results to test for a random walk in asset prices. For eight large samples of housing transactions, representing essentially all house sales in Sweden during a 12-year period, we reject the hypothesis that house prices follow a random walk in favor of a model of first-order serial correlation.     

A commodity hierarchy model of the rental housing market

This paper presents and analyzes a theoretical model of the rental housing market which addresses the durable-good nature and the heterogeneous nature of housing, while focusing on the quality distribution of housing units. Units of different qualities are viewed as distinct substitute commodities. New construction rates, deterioration rates, rental prices, and stocks are considered to be endogenous. Equilibrium concepts are introduced; both the long-run and short-run equilibria are shown to exist and to be unique. Comparative static results are established. The model's utility is demonstrated by its application to the analysis of several housing market programs.     

A prediction comparison of housing sales prices by parametric versus semi-parametric regressions

This study estimates a hedonic price function using a semi-parametric regression and compares the price prediction performance with conventional parametric models. This study utilizes a large data set representing 2595 single-family residential home sales between July 2000 and June 2002 from Pitt County, North Carolina. Data from Geographic Information Systems (GIS) are incorporated to account for locational attributes of the houses. The results show that the semi-parametric regression outperforms the parametric counterparts in both in-sample and out-of-sample price predictions, indicating that the semi-parametric model can be useful for measurement and prediction of housing sales prices.     

Why a pandemic recession boosts asset prices

Economic recessions are traditionally associated with asset price declines, and recoveries with asset price booms. Standard asset pricing models make sense of this: during a recession, dividends are low and the marginal value of income is high, causing low asset prices. Here, I develop a simple model which shows that this is not true during a recession caused by consumption restrictions, such as those seen during the 2020 pandemic: the restrictions drive the marginal value of income down, and thereby drive asset prices up, to an extent that tends to overwhelm the effect of low dividends. This result holds even if investors misperceive the economic forces at work.     

Monetary policy,housing rents,and inflation dynamics

In this paper we study the effect of monetary policy shocks on housing rents. Our main finding is that, in contrast to house prices, housing rents increase in response to contractionary monetary policy shocks. We also find that, after a contractionary monetary policy shock, rental vacancies and the homeownership rate decline. This combination of results suggests that monetary policy may affect housing tenure decisions (own versus rent). In addition, we show that, with the exception of the shelter component, all other main components of the consumer price index (CPI) either decline in response to a contractionary monetary policy shock or are not responsive. These findings motivated us to study the statistical properties of alternative measures of inflation that exclude the shelter component. We find that measures of inflation that exclude shelter have most of the statistical properties of the widely used measures of inflation, such as the CPI and the price index for personal consumption expenditures, but have higher standard deviations and react more to monetary policy shocks. Finally, we show that the response of housing rents accounts for a large proportion of the “price puzzle” found in the literature.     

基于信息熵的多属性决策方法在商品住宅价格中的研究

在市场经济条件下,房地产价格在房地产经济发展和房地产经济运行中有着重要的功能和作用,因此,对房价变动的预测以及如何能够合理制定房价,显得尤为重要。价格的预测,究其本质,是一种体现在数值上的决策活动,本文结合了多属性综合决策模型与回归分析对房价进行了预测研究。通过选取影响房价的部分宏观因素,建立基于熵的多属性综合决策模型,得到各因素与房价之间的关系,并通过回归分析,对房价进行预测。     

The impact of monetary policy in the midst of big shocks

This paper studies the impact of Federal Reserve policies that created the largest deviations from price stability during the Fed׳s first 100 years: the post-World War I deflation, the deflation of the Great Depression, the inflation of World War II, and the Great Inflation of the 1970s. In terms of their macroeconomic impacts, I find that deflation was uniquely depressing in the 1930s because of cartel policies that prevented nominal prices and wages from adjusting to clear markets, and not because deflation is generically depressing. I find that the biggest impact of monetary policy during World War II was in debasing debt through inflation. I find that the main drivers of the 1970s economy were long-run changes in productivity and the labor market, and that there may have been little that the Fed could have done at this time to expand employment and output. More broadly, I find that macroeconomic performance would have been better over the Fed׳s first century had the Fed followed a monetary policy to deliver stable prices.     

The demand for rental housing: Evidence from the Housing Allowance Demand Experiment

This paper provides new evidence on the price and income elasticities of demand for rental housing by low income households. Housing expenditures of households participating in the Housing Allowance Demand Experiment and receiving housing allowances in the form of a proportional rent rebate are analyzed. These rent rebates experimentally vary the effective relative price of housing and thus enable estimation of the price elasticities. Natural income variation enables estimation of income elasticities. Analysis is carried out using two functional forms and a variety of models of housing dynamics. The estimated income and price elasticities of demand are 0.36 and −0.22, respectively. When the sample is restricted to include only households headed by couples, the elasticity estimates are 0.47 for income and −0.36 for price. These estimates are lower (in absolute value) than have been previously estimated and it is suggested that this may be due to the low-income nature of the sample.     

List price and sales prices of residential properties during booms and busts

This paper investigates the relationship between the list and sale price of residential properties over the housing cycle. In down or normal markets the list price generally exceeds the sales price; however, when the housing market is strong, homes sell for more than their list price. This observation is not consistent with the assumptions made in the standard model of home sellers’ search behavior. We consider alternative models. In one, sellers set list prices based on their expectations of future changes in sales prices and the arrival rate of buyers; however, demand shocks occur. This model partially explains our data from the Belfast, U.K. housing market, but it fails to predict the list to sales price ratio during a sustained housing boom. We next describe a model where sellers’ endogenously select their search mechanism depending on the strength of the housing market. We find support for the conjecture that sellers switch to an auction-like model during housing booms. There also is evidence that during a downturn in the market, sellers’ list prices are sticky.     

The slowdown in American educational attainment

Relative to those for high school graduates, lifetime earnings for college graduates are higher for more recent cohorts. At the same time, across successive cohorts born after 1950, there is a stagnation in the fraction of high school graduates that go on to complete a college degree. What explains this phenomenon? I formulate a life-cycle model of human capital accumulation in college and on the job, where successive cohorts decide whether or not to acquire a college degree as well as the quality of their college education. Cohorts differ by the sequence of rental price per unit of human capital they face and by the distribution of initial human capital across individuals. My model reproduces the observed pattern in college attainment for the 1920–1970 birth cohorts. The stagnation in college attainment is due to the decrease in the growth rate of the rental price per unit of human capital commencing in the 1970s. My model also generates about 80% of the increase in lifetime earnings for college graduates relative to those for high school graduates observed across cohorts.     

Theoretical and Empirical Analysis of the Multiperiod Pricing Pattern in the Real Estate Market

We examine empirically and theoretically the multiperiod pricing pattern in the real estate market. First, in a game theoretic framework, we identify conditions for determining whether potential closing prices increase or decrease and marginally increase with time on market. Then, by observing rental housing transactions, we empirically find evidence that the difference between the list price and the settlement price rises and marginally decreases with time on market. This empirical result is consistent with a perfect Nash equilibrium previously proposed in the model.     

Predicting housing prices in China based on modified Holt's exponential smoothing incorporating whale optimization algorithm

The forecast of the real estate market is an important part of studying the Chinese economic market. Most existing methods have strict requirements on input variables and are complex in parameter estimation. To obtain better prediction results, a modified Holt's exponential smoothing (MHES) method was proposed to predict the housing price by using historical data. Unlike the traditional exponential smoothing models, MHES sets different weights on historical data and the smoothing parameters depend on the sample size. Meanwhile, the proposed MHES incorporates the whale optimization algorithm (WOA) to obtain the optimal parameters. Housing price data from Kunming, Changchun, Xuzhou and Handan were used to test the performance of the model. The housing prices results of four cities indicate that the proposed method has a smaller prediction error and shorter computation time than that of other traditional models. Therefore, WOA-MHES can be applied efficiently to housing price forecasting and can be a reliable tool for market investors and policy makers.     

现行政策下商业地产的发展趋势

一、现行宏观政策对商业地产的影响 从2004年起，鉴于政策导向，商业地产开发变得炙热起来。由于商业地产的利润比住宅开发要平均高出5％N10％，吸引了越来越多的投资者转向商业地产的开发。2005年1月1日开始，跨国零售商已开始在中国的全方位扩张。外资的到来推动国内商业市场发展，为商业地产带来巨大商机。2006年至2008...