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2004, Journal of Housing Economics
Changing reservation prices during the marketing of a heterogeneous asset is a basic result of search theory and the theory of pricing under demand uncertainty. Empirical evidence is sparse though, because data regarding price changes are not usually available. Using a unique housing data set that includes the number of list price changes that occur over the listing period, we provide, in this paper, a test of the implications of these theories. Consistent with the theory of pricing behavior under demand uncertainty, we find that owners whose homes trade in thin markets, and owners who have better information about the value of their homes are less likely to change price. On the other hand, owners who have relatively high costs of continuing a search for a buyer are willing to change price more readily, a finding consistent with search theory.
Review of Economic Dynamics, 2015
In this paper, we present a directed search model of the housing market. The pricing mechanism we analyze reflects the way houses are bought and sold in the United States. Our model is consistent with the observation that houses are sometimes sold above, sometimes below and sometimes at the asking price. We consider two versions of our model. In the first version, all sellers have the same reservation value. In the second version, there are two seller types, and type is private information. For both versions, we characterize the equilibrium of the game played by buyers and sellers, and we prove efficiency. Our model offers a new way to look at the housing market from a search-theoretic perspective. In addition, we contribute to the directed search literature by considering a model in which the asking price (i) entails only limited commitment and (ii) has the potential to signal seller type.
The Journal of Real Estate Finance and Economics, 2012
Buyers pay different prices for nearly identical homes. One explanation for this is that housing markets are thin, resulting in price bargaining between sellers and buyers. If the relative bargaining power of buyers varies, so will sales prices. One hypothesis is that the relative bargaining strength of buyers coming from outside the local market relative to that of local residents is weak, because distant buyers have high search costs and may know less about the nuances of the local market. Our results, based upon a large number of single-family home transactions from the state of Florida, lend support to this hypothesis. Another related hypothesis is that buyers' price expectations are anchored to prices they were accustomed to at their previous residence. Hence, if they come from high price markets they will tend to pay more for their new home. This hypothesis is also supported by our results.
Real Estate Economics, 2010
Many goods are marketed after first stating a list price, with the expectation that the eventual sales price will differ. In this paper we first present a simple model of search behavior that includes the seller setting a list price. Holding constant the mean of the buyers' distribution of potential offers for a good, we assume that the greater the list price, the slower the arrival rate of offers but the greater is the maximal offer. This tradeoff determines the optimal list price, which is set simultaneously with the seller's reservation price. Comparative statics are derived through a set numerical sensitivity tests, where we show that the greater the variance of the distribution of buyers' potential offers, the greater is the ratio of the list price to expected sales price. Thus, sellers of atypical goods will tend to set a relatively high list price compared with standard goods. We test this hypothesis using data from the Columbus, Ohio housing market and find substantial support. We also find empirical support for another hypothesis of the model: atypical dwellings take longer to sell.
2010
We build a search model of the housing market which captures the illiquidity of housing assets. In this model, households experience idiosyncratic shocks over time which affect how much they value their residence (e.g. the location of their job could change). When hit by a shock, households become mismatched and seek to buy a new home. Yet they take time to locate an appropriate housing unit and to sell their current home. Competitive forces are present in the housing market since, by posting lower prices, sellers increase the average number of buyer visits they get and sell their property faster. We characterize a stationary equilibrium for a fixed housing stock. We then calibrate a stochastic version of the model to reproduce selected aggregate statistics of the U.S. economy. The model is consistent with the high volatility of prices, sales and average time on the market, the positive correlation of prices and sales, and the negative correlation of prices and average time on the market observed in the data. This is not the case when we consider the perfectly competitive version of the model.
2010
In this document we present additional results for our main paper. First, we prove some properties of the steady state of our benchmark economy. Then, we present an alternative calibration
Urban Studies, 2011
A theoretical model is developed of house market disequilibrium. Price and quantity adjustments occur as the consequence of inventory adjustment in the absence of a market-maker. This approach reveals a process of dynamic adjustment whereby sellers alter their reservation prices in ...
2018
Asymmetric information between buyers can cause severe valuation biases in housing markets.1 In this article we study the effects of asymmetric information between local and out-of-town buyers using data from Arizona on repeat sales of “ranchettes”—small ranches used for agriculture and recreation. Because ranchettes are used for agriculture and recreation, their value partly is determined by the average amount of vegetation surrounding them. Thus, the return a buyer obtains depends on her ability to estimate, prior to purchase, the average amount of vegetation. Our results suggest that local buyers obtain greater returns than out-of-town buyers when they resell their properties, and that the difference becomes greater when outof-town buyers visit a ranchette at a time when it is surrounded by greater than average amount of vegetation. As such, our results suggest that out-of-town buyers tend to use the amount of vegetation at the time of the visit as a cue for the typical amount of...
Journal of Real Estate Finance and Economics, 2018
Search theory shows that real property prices and marketing durations are simultaneously determined and positively related. Yet, empirical studies find positive, negative, and insignificant parameter estimates on the time-on-the-market (TOM) variable in price models. Using a dataset well suited to the research question, this article investigates reasons for the divergence between the theoretical and empirical results. Our test equations examine the quality of instrumental variables, severe overpricing, atypicality, structure quality, loss aversion, market tightness as well as measures unique to our data such as sellers' income levels, reasons for sale, and urgency. We find that weak instrumental variables account for the varied empirical relations between transaction prices and TOM.
2007
While the average change in house prices is related to changes in fundamentals or perhaps market-wide bubbles, not all houses in a market appreciate at the same rate. The primary focus of our study is to investigate the reasons for these variations in price changes among houses within a market. We draw on two theories for guidance, one related to the optimal search strategy for sellers of atypical dwellings and the other focusing on the bargaining process between a seller and potential buyers. We hypothesize that houses will appreciate at different rates depending on the characteristics of the property and the change in the strength of the housing market. These hypotheses are supported using data from three New Zealand housing markets.
SSRN Electronic Journal, 2000
We consider the problem of a seller who faces an unknown number of offers where each offer is a random draw from a known distribution. The objective of the seller is to maximize the probability that the highest offer is chosen. This is equivalent to maximizing expected utility when one assigns preferences to rankings of offers. We identify the optimal selling strategy using the technique of Porosiński (1987) and general optimal stopping theory. We show that the optimal strategy is characterized by a non-increasing stochastic set of reservation prices. This is in contrast to the classical search theory models where reservation prices are deterministic. Our analysis also provides theoretical support to the observation that first offers in residential real estate markets should be accepted more often since they tend to be higher than subsequent offers.
Urban Studies, 2011
A theoretical model is developed of house market disequilibrium. Price and quantity adjustments occur as the consequence of inventory adjustment in the absence of a market-maker. This approach reveals a process of dynamic adjustment whereby sellers alter their reservation prices in ...
Journal of Housing Research, 2009
Offers by sellers to pay closing costs on behalf of buyers that are contingent on the buyers' use of preferred ancillary service providers are a relatively new but increasing phenomenon. These contingent closing cost offers may have very different pricing, timeon-market, and probability of sale impacts than more traditional offers to pay closing costs where no particular choice of service provider is stipulated. Results indicate that there are substantial differences across price, time-on-the-market, and probability of sale between contingent and non-contingent closing cost offers, and that contingent closing cost offers have significant impacts on all three property transaction metrics.
Journal of Housing Economics, 2013
Empirical evidence on the relationship between real estate price and selling time (timeon-market (TOM)) is mixed as to whether the price-TOM relationship is positive or negative. Competing theories also suggest opposite predictions about TOM's impact on selling price. The article examines the price-TOM relationship against the background of varying market conditions and highlights the impact of these conditions on the relationship. The theoretical analysis extends search theory and Lazear's model to changing market conditions and reconciles their predictions on the relationship. The empirical analysis refines the investigation of the price-TOM relationship by revealing the cross-effect of market conditions and TOM on price. The findings confirm that the price-TOM relationship can indeed be positive or negative depending on these conditions. However, except for the case of an extremely bad market, the relationship is generally positive. This outcome occurs because search effort (indicated by TOM) brings significant price benefit that is large enough to offset all but the worst market price declines. Additional analysis confirms that the findings are not altered by the potential endogeneity between price and TOM.
A seller sets the list price based upon their ex-ante perception of the trade-off between marketing duration versus transaction price, which depends on the liquidity of the property and the depth of the market. As such, list prices reflect property, market, and seller characteristics. In addition, Genesove and Mayer (2001) and Bokhari and Geltner (2011) use prospect theory to motivate how expected nominal losses and gains from sale can also influence list prices. We consider these multiple factors affecting list prices through a rich dataset from the National Association of Realtors, which contains variables on seller motivations, structure liquidity, and other difficult to observe variables such as seller age, race, and income. Upon deciding to sell their house, the owner faces the problem of setting the initial asking price. Sellers routinely set list prices higher than expected transaction prices to allow for negotiation with potential buyers. Additionally, sellers need to set higher list prices to obtain higher transaction prices. But owners cannot markup their list prices by too much or they risk materially delaying the sale, especially for more illiquid properties. Therefore, when setting their optimum list price, an owner must balance the potential marginal utility that can come from a higher price versus the marginal disutility of a longer time on market (TOM).
2019
This paper offers a novel index to identify pricing trends in the housing market, based on the difference between sellers’ initial asking price and the final transaction price of the same property (the "Willingness to Compromise" Index). To construct this index, we use data from ``Yad2``, the leading classified ads website in Israel, on individual ads for real estate properties offered for sale and data reported by the Israel Tax Authority on final transactions. We then apply the index to 28,933 real-estate transactions in 28 Israeli cities between 2015 and 2017. Our analysis documents a significant increase in the willingness to compromise between the third quarter of 2016 and the third quarter of 2017. This increase was observed in nearly all cities in the sample, including when controlling for property characteristics. Our findings also suggest that the increase in willingness to compromise was greater in cities where lotteries associated with the government-subsidized ...
International Review of Law and Economics, 1998
This paper provides one reason why the level of trading in the housing market is volatile. We show that when uncertainty is high and can be expected to be resolved in the near future, both buyers and sellers have an incentive to postpone trading until uncertainty has been resolved. In the model, agents trade in the housing market either now, when there is uncertainty concerning the future tax rule for house owners, or later, when this uncertainty has been resolved. Under the assumption of risk neutrality (and high transaction costs), we show that any rational expectations equilibrium involves all trading being postponed. When agents are risk averse, this result holds less generally; we show that it does hold when changes in the tax rule are expected not to affect the future price of houses too strongly.
SSRN Electronic Journal
We model listing decisions in the housing market, and structurally estimate household preference and constraint parameters using comprehensive Danish data. Sellers optimize expected utility from property sales, subject to down-payment constraints, and internalize the effect of their choices on final sale prices and time-onthe-market. The data exhibit variation in the listing price-gains relationship with "demand concavity;" bunching in the sales distribution; and a rising listing propensity with gains. Our estimated parameters indicate reference dependence around the nominal purchase price and modest loss aversion. A new and interesting fact that the canonical model cannot match is that gains and down-payment constraints have interactive effects on listing prices.
Journal of Real Estate Finance and Economics, 1991
The terms buyers' market and sellers' market are commonly used in contexts that most economists would characterize as excess supply and excess demand. It is puzzling, however, that in many instances the press and general public are all aware that it is a buyers' or sellers' market. Are these markets really that inefficient? We offer definitions of buyers' and sellers' markets that are consistent with a full rational expectations equilibrium in a simple general equilibrium search model of a heterogeneous durable goods market.
Journal of Property Research, 2020
In this paper, we set up a two-sided random search model to study the trading behaviour between buyers and sellers in the commercial real estate market. Our model shows that the interaction between search and bargaining has a profound influence on the role played by the market search friction regarding the equilibrium transaction price of commercial property and the well-being of both buyers and sellers. Against the traditional view that the existence of search friction always plays a negative role in the commercial real estate market, we find that under some conditions the market search friction can increase the equilibrium transaction price of commercial property and thus benefit sellers, which is considered the most valuable especially during the downturn of a business cycle.
The objective of this paper is twofold. One is to provide a search-theoretical model of the marketing choice of the seller. The model explains the seemingly contradictory empirical results as to whether a seller raises the price of his house to pass on a portion of the broker's commission to the buyer. The second is to offer empirical evidence on the impact of the MLS on the price. We control for selectivity bias in the data and obtain a surprising result that the decision to use a multiple listing service decreases the sale price of a property.
International Economic …, 2007
Abstract A theoretical model is developed of house market disequilibrium. Price and quantity adjustments occur as the consequence of inventory adjustment in the absence of a market-maker. This approach reveals a process of dynamic adjustment whereby sellers alter their reservation prices in response to implicit time on the market as a signal of excess demand. Unobservable equilibrium house prices are estimated using time on the market and house price data for Glasgow between 1999 and 2007. Empirical estimation models sellers' reservation price response to the overhang of unsold houses and the excess demand curve within an econometric framework.
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