Spillover effects of human service facilities in a racially segmented housing market

Previous studies of human service facility spillovers on residential property values have been inconclusive, and have failed to take into account the effects of racial segmentation of housing markets. Likewise, studies of racial discrimination in urban housing markets and price differentials between white and nonwhite areas of the city have failed to consider the impacts of service facilities on prices. This study develops an hedonic price model of housing services in a racially segmented housing market, which considers a variety of human service facilities and their spillover effects. Model results for Oakland, California in 1976 indicate that facilities significantly affect housing prices both positively and negatively, and that these effects vary by racial submarket. Implications of these findings for the interpretation of past discrimination studies, facility impact studies, and social policy are considered.     

On the estimation of multinomial logit models from relative frequency data

Standard estimators for the binomial logit model and for the multinomial logit model allow for an error arising from the use of relative frequencies instead of the true probabilities as the dependent variable. Recently Amemiya and Nold (1975) have considered the effect of the presence of an additional specification error in the binomial logit model and have proposed a modified logit estimation scheme to take the additional error variance into account. This paper extends their idea to the multinomial logit model and proposes an estimator that is consistent and asymptotically more efficient than the standard multinomial logit estimator. The paper presents a comparison of the results of applying the new estimator and existing estimators to a logit model for the choice of automobile ownership in the United States.     

Hedonic Price Models for Dynamic Markets*

The price of a product depends on its characteristics and will vary in dynamic markets. The model describes a processing firm that bids in an auction for a heterogeneous and perishable input. The reduced form of this model is estimated as an expanded random parameter model that combines a nonlinear hedonic bid function and inverse input demand functions for characteristics. The model was estimated by using 289,405 transactions from the Icelandic fish auctions. Total catch and gut ratio were the main determinants of marginal prices of characteristics, while the price of cod mainly depended on size, gutting and storage.     

Generalized extreme value discrete choice demand models : Existence and uniqueness of market equilibria

Generalized extreme value (GEV) random utility choice models have been suggested as a development of the multinomial logit models that allows the random components of various alternatives to be statistically dependent. This paper establishes the existence of and provides necessary and sufficient uniqueness conditions for the solutions to a set of equations that may be interpreted as an equilibrium of an economy, the demand side of which is described by a multiple-segment GEV random choice model. The same equations may alternatively be interpreted in a maximum likelihood estimation context. The method employed is based on optimization theory and may provide a useful computational approach. The uniqueness results suggest a way to introduce segregation/integration effects into logit type choice models. Generalization to non-GEV models are touched upon.     

The role of the list price in housing markets: Theory and an econometric model

Houses are routinely sold at prices below, but rarely sold at prices above, their list prices. List prices appear to be price ceilings that preclude the possibility of sales at higher prices. This paper presents a theory of sellers' behaviour that explains why there are list prices in housing markets and why list prices are distinct from sellers' reservation prices. The theory forms the basis of an econometric model that has been estimated using data from the Baltimore, MD, area. The estimated model predicts sale and reservation prices conditional on list prices. The predictions of sale prices are considerably more accurate than those obtained from a standard hedonic price regression. The estimated model also explains why sellers may not be willing to reduce their list prices even after their houses have remained unsold for long periods of time.     

Hedonic theory, bid rents, and willingness-to-pay: Some extensions of Ellickson's results

An alternative to Ellickson's multinomial logit model of household bids for dwelling units is derived by making use of observable information on the price paid by the winning bidder. The alternative specification makes it possible to estimate willingness-to-pay for housing attributes, which cannot be obtained from Ellickson's model. Some methodological issues arising from Ellickson's method of grouping households are also examined.     

A dynamic,policy oriented model of the regulated housing market: The Swedish prototype

The design and preliminary implementation of a dynamic, policy oriented model of the regulated housing market is presented. The model is developed in the context of the Swedish housing market institutions which combine nearly all features encountered in other nations. Free buying and selling by homeowners, black markets, swapping of dwellings and rationing of price controlled dwellings both by landlords and a public authority are included as explicit transaction options (with distinct costs) available to existing and newly formed households in the market. The model simulates a sequence of temporary annual equilibria which are obtained by balancing effective demands with effective supplies. Household mobility choices, landlords' selling decisions and the rationing of dwellings at fixed prices are derived from stochastic maximization resulting in multinomial or nested logit models of choice behavior. An aggregated preliminary 16-equation version is calibrated with partly real, partly guesstimated data for the Greater Stockholm region in the mid-seventies. Qualitative comparative statatics and income compensated policy simulations with this version illustrate some unintended effects of Swedish housing policy resulting from the manipulation of the income tax, an income tax dependent property tax and housing allowances. The model provides a tool whereby deregulating institutional changes which are potentially Pareto improving can be identified. If, however, current institutions such as the rationing of dwellings result in sufficiently lower transactions costs for households relative to the free market, then deregulation is not Pareto preferred.     

The Auction Price of Apartments in Moscow: Hedonic Estimation in Disequilibrium1

The purpose of this paper is to see how economic factors determine prices in the previously communist countries undergoing privatization. This does not concern the auctions of big state enterprises where the prices are found to be rigged. In this paper we estimate hedonic price functions based on a unique data set on auction prices of apartments in Moscow. We collected the data ourselves by attending the auctions and gathered data on the characteristics. We estimated the hedonic equations using a disequilibrium approach because no equilibrium prices were observed for large number of apartments that were withdrawn from the auction. We found that, as the privatization of residential housing was carried out, the hedonic price equations fit the data remarkably well.     

基于“城房指数”的中国城市新建商品住房市场有效性研究

本文采用2006年1月至2009年8月我国10个大中城市“城房指数”数据,检验了新建商品住宅市场的有效性,结果显示市场无效是较为普遍的现象。进一步的研究说明,特定的市场参与者可以在无效市场中通过积极预测价格而获得更好的回报。但对一般投资者而言,由于目前调整持有房地产资产比例的投资行为将产生极高的交易费用,获得这一套利机会并不现实。如果未来我国资本市场上出现房地产衍生证券,该问题有可能得到解决,市场有效性也会得到提高。     

基于主成分分析法的特征价格模型

将主成分分析法与特征价格模型相结合,对房地产项目的销售均价进行定价。解决了分析样本数据少、部分特征属性间相关性强的问题;建立了住宅项目的特征定价模型。通过实证分析,验证出模型的效果较好,可用于确定新建项目的销售均价。     

A Logit Model with Missing Information Illustrated by Testing for Hidden Unemployment in Transition Economies

In an important paper, Dempster, Laird and Rubin (1977) showed how the expectation maximization (EM) algorithm could be used to obtain maximum likelihood estimates of parameters in a multinomial probability model with missing information. This article extends Dempster, Laird and Rubin's work on the EM algorithm to the estimation of a multinomial logit model with missing information on category membership. We call this new model the latent multinomial logit (LMNL) model. A constrained version of the LMNL model is used to examine the issue of hidden unemployment in transition economies following the approach of Earle and Sakova (2000) . We found an additional 0.5% hidden unemployment among workers describing themselves as self‐employed in the transition economies of Central and Eastern Europe.     

What is the role of the asking price for a house?

This paper considers the role of the asking price in housing transactions both theoretically and empirically. Significant fractions of housing transactions involve sales prices that are either below or above asking price, which might suggest that asking price has limited relevance. However, many housing transactions involve a sales price exactly equal to asking price (a fact that has previously drawn little notice), strongly suggesting that asking price does matter. The paper develops a model where asking price is neither a binding commitment nor a ceiling, yet still directs buyer search and impacts sales price. Using novel survey data, the paper provides empirical evidence consistent with asking price playing a directing role in buyer search. Consistent with theory, this effect is stronger for more atypical houses and in bust markets.     

Hedonic prices and composite commodities

In this paper we conjecture and, to an extent, prove that recently noted restrictions required for the logical coherence and empirical relevance of hedonic price models make these models no more general than traditional housing services models. In particular, intra-urban variation in hedonic prices may not be substantively related to market equilibration at all, and therefore is not evidence for the existence of housing sub-markets. Moreover, in the case of jointly produced housing characteristics, the hedonic price models are found to be less general than the traditional homogeneous housing services models.     

Intraurban variation in the price of housing

Theoretical models of spatial consumer behavior assume the existence of a housing price surface that increases with accessibility. It is often hypothesized that inadequate accessibility measures are responsible for the failure of most empirical studies to support this premise. A general accessibility measure consisting of a double power series in cartesian coordinates is developed and shown to represent a general formulation of traditional accessibility measures. This formulation is incorporated in a hedonic price regression model, and the model is estimated using census tract data for the city of Milwaukee. The hedonic prices are then used to construct intraurban housing price indexes. The results of this study provide strong support for the existence of the presumed price surface. A comparison of this new hedonic price model with traditional models suggests that the double power series formulation is a superior representation of accessibility.     

Hedonic prices, price indices and housing markets

This paper extends hedonic price analysis to the formation of housing price indices measuring variation within a metropolitan area. In forming these indices fifteen submarkets, heterogeneous across time and space, are described within a short-run equilibrium model. Linear functional forms are generally rejected using a method proposed by Box and Cox. Aggregation of hedonic price coefficients into standardized units yields significantly higher housing prices in the central city than in its suburbs, as well as differential effects of structural and neighborhood improvements among submarkets.     

Residential choice,hedonic prices,and the demand for urban air quality

This paper uses a two-step estimation procedure suggested by Sherwin Rosen to estimate structural demand and supply equations for urban air quality. In the first step, a hedonic price equation is estimated for residential property values for the Washington, D. C., SMSA for 1970. In the second step, a set of marginal hedonic prices is generated. These prices and the quantity of clean air (reciprocal of air pollution) are used as endogenous variables in a simultaneous equation model. Empirical results indicate a price elasticity of demand between ?1.2 and ?1.4 and a unitary income elasticity.     

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.     

Estimation and policy implications of rental housing demand

The demand for rental housing using the Annual Housing Survey SMSA sample for 1977 is estimated. The principal determinants of rental housing demand, namely housing price and permanent/transitory income, are computed through spatially varying hedonic price techniques and instrumental variables methods (relating to human and nonhuman capital), respectively. Based on the demand estimation results, impacts of hypothetical cash and rent subsidy programs are analyzed in terms of “housing” and “welfare” effects. It is found that a rent subsidy achieves considerably larger effects than does a cash subsidy.     

Simultaneity in the market for housing characteristics

The nature of simultaneity in the markets for housing characteristics is examined. Simultaneity is found to arise in the implicit markets for individual characteristics because of the presence of nonlinearity in the market (hedonic) price function for housing. However, this simultaneity is not the kind discussed by S. Rosen [J. Political Econ. 82, 34–55 (1974)] between firm supplies and household demands. As a result, the Rosen suggestion of identifying demand with firm supply shifters is inappropriate. Among the alternative approaches to identification, the most desirable involve use of data over two or more markets in which residence for a given household is exogenous to the choice of housing.     

Hedonic price and depreciation indexes for residential housing: A longitudinal approach

An equilibrium price relation is derived for price changes in durable goods capable of generating a hedonic, or quality-corrected, price index, and an index of depreciation. The structure proposed is applicable particularly to housing markets, where longitudinal, or repeat-sale data are readily available from assessment or real estate sources. The separation permits not only the construction of a true price index, but also allows tests of various functional forms for depreciation, notably the geometric function. As an application of the proposed structure, estimates are presented for single-family dwellings in surburban London, Ontario, 1967–1975.