The Housing Market and Real Estate Brokers

The major development in this paper concerns the failure, in earlier studies, to consider interaction between alternative methods of arranging sales in the housing market. A seller may market a house by direct negotiations with buyers, without the intermediation of real estate brokers, or by listing the house with a broker. A rational seller would choose the option which offers the higher expected return on the house. In a sequence of models we argue that the seller's option of a method of sale induces competitive pressure in the choice of the commission rate by the broker. We also consider the split rate in a multiple listing system, ease of entry of brokers and the cartel hypothesis as applied to brokers. We conclude that the competitive pressure of direct negotiations between sellers and buyers, relative free entry of brokers and the inappropri-ateness of the cartel hypothesis cast serious doubt about a general consensus of opinion that the brokerage system is characterized by price fixing, excessive commissions and excessive marketing costs.     

Real Estate Brokers, Nonprice Competition and the Housing Market

Given a fixed commission rate and easy entry, economic profits must be competed away on some nonprice margin in the real estate brokerage market. This paper focuses on nonprice competition in the level or quality of services offered buyers and sellers in the market, examining the equilibrium adjustment process, comparative static predictions and efficiency implications. In contrast with earlier studies focusing on wasteful advertising, this paper demonstrates that higher commission rates can either increase or decrease deadweight loss, depending upon how broker services affect buyer and seller transaction costs.     

地产中介:拐点未到

房地产的冬天真的来了么?地产中介们并不那么认为。去年下半年开始,房地产进入拐点时期的声音就不绝于耳,去年11月,深圳中天置业总裁蒋飞携款潜逃,连续几家大规模的房地产中介倒闭,今年1月,北京信一天     

The Incentive Effects of Flat-Fee and Percentage Commissions for Real Estate Brokers

This paper analyzes the incentive affects of flat-fee and percentage commission systems from the perspective of the economic theory of agency. Under a plausible set of assumptions the systems provide equivalent incentives. However, the relative desirability of the two systems depends upon the pricing strategy employed and factors specific to the individual. In general, neither system perfectly aligns the interests of the agent with those of the property-owner. A surprising result of the analysis is that the optimal listing price when an agent is employed may be below the first-best price. The first-best price, or residual maximizing solution to the principal-agent problem from the perspective of the property-owner, is the solution that would occur if the agent's interests were perfectly aligned with those of the principal. This study suggests that the use of a percentage versus a flat-fee commission may be due to information costs rather than price discrimination on the part of brokers.     

Measuring Residential Real Estate Liquidity

There are many factors, other than price alone, that may affect the liquidity of real estate. This study develops a liquidity measure based on the Cox proportional hazard technique, a statistical model widely used in the epidemiologic and social sciences. The odds ratio, along with an estimate of market value for a home, are used to construct a liquidity measure. This measure can extract from the data a rich statistical profile of the variables that affect liquidity.     

The Welfare Effects of Non-Price Competition Among Real Estate Brokers

This paper examines the role of brokers in economizing on transaction costs in the housing market. By lowering the cost of transactions, brokers create welfare gains compared to a market in which buyers and sellers transact on their own. However, if brokers engage in unproductive, non-price competition to acquire a larger share of available listings, then some of the welfare gains are dissipated. Using a partial equilibrium model, this paper shows how an excessive commission rate can lead to this result.     

Adjustments in the Real Estate Market

AREUEA is pleased to acknowledge the support of the National Association of REALTORS in the preparation of this issue. We are particularly grateful to John Tuccillo, Senior Vice President and Chief Economist at NAR, for recognizing the importance of this research area and encouraging these studies. The editors would also like to acknowledge the continuing support of their colleagues at The Ohio State University and of the Homer Hoyt Institute.     

Market Microstructure and Real Estate Returns

This paper examines the Real Estate Investment Trust (REIT) market microstruc-ture and its relationship to stock returns. When compared with the general stock market, REIT stocks tend to have a lower level of institutional investor participation and are followed by fewer security analysts. In addition, REIT stocks that have a higher percentage of institutional investors or are followed by more security analysts tend to perform better than other REIT stocks. Our results seem to confirm Jensen's ( 1993 , p. 868) proposition that ownership structure (that is, who owns the firm's securities) affects the value of the firm. Our findings also have implications about the well documented phenomenon that the financial performance of Commingled Real Estate Funds (CREFs) is better than that of REITs.     

Discount Brokerage in Residential Real Estate Markets

Transaction costs are thought to affect asset prices and market liquidity, but the direction and magnitude of these effects continue to be the subject of debate. In the single‐family residential market, discount brokers offer to list a house for a lower price and thus reduce the transaction costs associated with obtaining a match. In this article we obtain empirical estimates of the price and liquidity impact of a seller selecting a discount broker to market a single‐family residential property. The unique data set allows for the identification of residential properties that were listed by a discount brokerage firm. The empirical results confirm the predictions of our theoretical model. Using a sample of 318,221 listings and 243,625 sales, we find that houses listed by discount brokers sell at prices similar to non‐discount brokerage listings, but are less likely to sell, and when they do sell, take approximately three days longer to sell. The results indicate that lower transaction costs do not impact housing prices in this market, but that they are related to asset liquidity.     

Credit Restrictions and the Market for Commercial Real Estate Loans

This paper develops a model of the market for commercial real estate loans based on the variables used by investors and lenders in property decision-making: the income capitalization (cap) rate, the debt-coverage ratio and the loan-to-value ratio. Empirical results for aggregate United States real estate originations and commitments for 1970–93 indicate that loan demand is sensitive to the cap rate and to building permit issuance. The dominant criterion used by lenders is the debt-coverage ratio as opposed to the loan-to-value ratio, a finding which may have implications for underwriting standards and credit policy.     

建立住房抵押贷款保险制度促进房地产市场的发展

文章针对目前国内个人住房消费的现状,对现行的 押贷款体系中存在的问题进行了分析丐研究,提出了相应的对策,即建立住房抵押贷款保险制度。借鉴国际上发达国家的做法,通过保险分散抵押代款的风险,完善社会保障体系,促进个人住房抵押贷款的良性发展,进而房地产市场的健康发展。     

Illiquidity and Pricing Biases in the Real Estate Market

This article addresses the micro-analytic foundations of illiquidity and price dynamics in the real estate market by integrating modern portfolio theory with models describing the real estate transaction process. Based on the notion that real estate is a heterogeneous good that is traded in decentralized markets and that transactions in these markets are often characterized by costly searches, we argue that the most important aspects defining real estate illiquidity in both residential and commercial markets are the time required for sale and the uncertainty of the marketing period. These aspects provide two sources of bias in the commonly adopted methods of real estate valuation, which are based solely on the prices of sold properties and implicitly assume immediate execution. We demonstrate that estimated returns must be biased upward and risks downward. These biases can be significant, especially when the marketing period is highly uncertain relative to the holding period. We also find that real estate risk is closely related to investors' time horizons, specifically that real estate risk decreases when the holding period increases. These results are consistent with the conventional wisdom that real estate is more favorable to long-term investors than to short-term investors. They also provide a theoretical foundation for the recent econometric literature, which finds evidence of smoothing of real estate returns. Our findings help explain the apparent risk-premium puzzle in real estate—that is, that ex post returns appear too high, given their apparent low volatility—and can lead to the formal derivation of adjustments that can define real estate's proper role in the mixed-asset portfolio.     

Market Share in the Real Estate Brokerage Industry

This paper is concerned with the factors that determine the market share of listings and the market share of sales for brokerage firms. Models are developed and tested in a SMSA that conveniently corresponds exactly to a particular Multiple Listing Service area. Indices of firm specialization and market concentration were computed in addition to more conventional characterizations of the market and the data used in the study.
The regression results reveal a small degree of consistency in the impacts of the explanatory variables over the two years of the study and over the listing and sales markets. The number of salespeople is the most consistently significant variable. Indeed, market share per salesperson appears to be a non-monotonic function of the number of salespeople. The presence of a franchise and the quantity of display advertising are occasionally significant. Classified advertising, Yellow Pages advertising, and open houses all do not significantly affect market share per salesperson.     

Equilibrium of Housing and Real Estate Brokerage Markets Under Uncertainty

The purpose of this paper is to develop a model of the real estate brokerage and housing markets with imperfect information. The paper considers general equilibrium in these markets with and without a multiple listing service. Input prices are found to affect the equilibrium housing price, brokerage commission, and split factor. The introduction of a multiple listing service is found to have several important effects. The MLS causes housing value to increase, but its effect on the commission rate is indeterminate. Contrary to the results of another paper, MLS brokers, on average, will likely undertake more search for both buyers and listings than will a non-MLS broker. The primary reasons are related to the greater efficiency of search in the MLS context.     

哈尔滨市房地产市场供求分析

首先对哈尔滨市住宅价格进行了预测分析,然后通过利用房地产市场非均衡分析的最小原则模型对哈尔滨市房地产市场进行了非均衡分析,得出了市场有效供求与实际交易量的关系,计算了房地产市场的非均衡度,并探讨了导致哈尔滨市房地产市场非均衡的原因。     

新住房政策下房地产开发企业的对策

章主要从新的住房政策的两个核心内容出发,提出了房地产开发企业在深入理解新住房政策的基础上尽快消化已建成的空置商品房,以及商品房与经济适用房同步开发等方面应采取的对策。     

Concentration and Market Structure in Local Real Estate Markets

The competitiveness of the residential real estate brokerage industry has attracted much attention. Anecdotal evidence suggests some local markets are concentrated, yet no systematic market structure study has been conducted. We collected cross‐sectional data on real estate brokers in 90 diverse markets across the United States and collected longitudinal data for Louisville, Kentucky. In medium and large markets, no evidence exists that market concentration might create problems for competition. Small markets, on average, have higher Herfindahl‐Hirschman Indexes than medium and large markets. The longitudinal data reveal that many small brokers sell a house or two one year and none the next year.     

Economies of Scope and Density in the Market for Real Estate Brokerage Services

Using a multiproduct translog cost function, this paper examines the case for economies of scope and density in the market for residential real estate brokerage services. Earlier research that treated output as a homogeneous commodity reported modest economies of scale for this industry. The results of this study suggest that the composition of output is an important source of these scale economies, rather than simply the size of the firm. The economies of scope which we find imply that a balanced mix of listing and sales is the least costly type of operation, a result borne out by the product mix found in our sample. The results also show product-specific diseconomies of scale, suggesting that specialization in either listing or sales may be sub-optimal under the current institutional arrangements present in the market. Finally, market density appears to be, at best, only a nominal source of savings for real estate brokerage firms.     

Non-Uniform Percentage Brokerage Commissions and Real Estate Market Performance

The effect of non-uniform commissions on the market duration of residential properties is ambiguous. While the broker's search effort is positively related to the size of the percentage commission, so is the seller's reservation price. Each of these relationships imply a time-on-market effect in the opposite direction of the other. A powerful statistical technique, survival regression, is employed to determine which relationship dominates. Because the probability that a property will sell at any given point in time is inversely related to the size of the percentage commission, we conclude that the negative search effects associated with low commission rates are more than offset by the positive reservation price effects.