Internet Search Behavior,Liquidity and Prices in the Housing Market

We employ detailed internet search data to examine price and liquidity dynamics of the Dutch housing market. We show that the number of clicks on properties listed online proxies demand and the number of listed properties proxies supply. From this internet search behavior, we create a market tightness indicator and we find that this indicator Granger causes changes in both house prices and housing market liquidity. The results of a panel VAR suggest that a demand shock results in a temporary increase in liquidity and a permanent increase in prices in urban areas. This is in accordance with search and matching models.     

Optimal Selling Mechanism,Auction Discounts and Time on Market

This article examines the optimal selling mechanism problem in real estate market using mean‐variance analysis and downside risk analysis. When sellers can choose between accepting the first offer above a reservation price or auctions (waiting an optimal and fixed time), sellers having higher risk aversion choose auctions and wait a fixed time while sellers having lower risk aversion choose an optimal reservation price and wait a random time. Positive auction discounts are compensated by reduced risks, and there exists a connection between liquidity risk and conditional auction discount. More (Fewer) sellers will choose to sell their houses through auctions in a hot (cold) market or when holding cost increases (decreases). When sellers choose auctions, sellers having higher risk aversion who have lower holding cost wait longer and obtain higher sale price. Loss‐averse sellers unanimously choose the mechanism of setting an optimal reservation price.     

Exclusionary discounts

We consider a two-period model with two sellers and one buyer. Although we assume it is efficient for the buyer to purchase from both sellers in each period, we show that when the buyer's valuations are inter-temporally linked and at least one seller is financially constrained, exclusion can sometimes arise in equilibrium (i.e., the buyer purchases all of its requirements from the same seller in each period). The exclusionary equilibria are supported by contract offers in which the excluding seller's incremental price to supply the contestable part of demand is below its marginal cost and sometimes negative. Our findings contribute to the literatures on market-share contracts, bundling, all-units discounts, and loyalty discounts.     

Flooding and Liquidity on the Bayou: The Capitalization of Flood Risk into House Value and Ease‐of‐Sale

The existing literature focuses on how perceived flood risk affects house value. Search theory, however, implies that flood risks will be capitalized into both house price and liquidity. This article draws on search theory to develop an empirical approach for estimating flood risk capitalization into both price and selling time. The results show the mix of price and liquidity capitalization varies by level of flood risk as well as across housing market phases. Regardless of the specific capitalization pattern, the results illustrate that focusing solely on price without allowing for concomitant liquidity capitalization can yield estimates that understate the full impact of flood risk on house transactions.     

Ethnicity in housing markets: Buyers,sellers and agents

This paper examines how ethnicity related to cultural differences arising from ethnic background affects housing market transactions in the Atlanta metro area. Using both the US Census and Wikipedia approaches to infer ethnicity from individuals' names, we find that the interplay of buyer, seller, and agent ethnicity composition affects interaction in the housing market. Sellers working with listing agents in the same ethnic group set higher listing prices and enjoy higher selling prices and quicker sales. Agents working with same ethnicity buyers yield higher prices and liquidity. Even though sellers only communicate with buyers through their agents, houses sold by sellers to buyers of same ethnicity have higher prices and sell faster. And while the ethnic mix of agents and their clients matter, the ethnic mix of agents in the transaction does not.     

Price discrimination by language: Field experimental evidence from a shopping mall

To investigate whether foreign shoppers are discriminated against, we conduct a field experiment at a large shopping mall. We employ 56 female foreigners speaking 11 different languages and 7 Korean natives and collect data on total 2267 store visits. To test price discrimination based on differential search costs, we randomly select buyers to send a signal of lower search cost. Results show that negotiation and signaling induce sellers to lower their price offers. Our experimental findings, combined with auxiliary survey data from foreign visitors, suggest that sellers use the language of buyers as a proxy for the distribution of reservation values.     

List Prices,Sale Prices and Marketing Time: An Application to U.S. Housing Markets

Many goods are marketed after first stating a list price, with the expectation that the eventual sales price will differ. In this article, 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 trade‐off determines the optimal list price, which is set simultaneously with the seller's reservation price. Comparative statics are derived through a set of 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.     

Selling Time and Selling Price: The Influence of Seller Motivation

We consider the role that seller motivation plays in determining selling time, list price and sale price. A new survey of home sellers suggests that sellers are heterogeneous in their motivation to sell. Our findings are that a seller who, at the time of listing, has a planned date to move sells more quickly than one who does not. Also, the shorter the planned time until a move at the time of listing, the shorter the actual duration of marketing time. We find that seller motivation affects sale price, but not the list-price markup. Our results suggest that theoretical models of the housing search process should be recast to allow for heterogeneous sellers.     

The burgeoning role of iBuyers in the housing market

We examine the iBuyers’ business model and their impact on housing markets. We find that iBuyers tend to enter neighborhoods that have more easily priced and homogeneous homes, as price discovery is simpler and more consistent with their pricing algorithm in those areas. iBuyers purchase homes at lower prices than individual owner-occupiers, and this acquisition discount reflects the benefits iBuyers offer to motivated sellers rather than distressed home purchases or unobserved lower-quality housing characteristics. Last, a greater presence of iBuyers results in a higher volume of local housing transactions and encourages more home sellers to sell without listing.     

Property Investment and Rental Rate under Housing Price Uncertainty: A Real Options Approach

The conventional wisdom that housing prices are the present value of future rents ignores the fact that unlike dividends on stocks, rent is not discretionary. Housing price uncertainty can affect household property investments, which in turn affect rent. By extending the theory of investment under uncertainty, we model the renter's decision to buy a house and the landlord's decision to sell as the exercising of real options of waiting and examine real options effects on rent. Using data from Hong Kong and mainland China, we find a significant effect of housing price on rent and draw important policy implications.     

Effects of Macroeconomic Uncertainty and Labor Demand Shocks on the Housing Market

This article shows that macroeconomic uncertainty affects the housing market in two significant ways. First, uncertainty shocks adversely affect housing prices but not the quantities that are traded. Controlling for a broad set of variables in fixed‐effects regressions, we find that uncertainty shocks reduce both housing prices and median sales prices in the amount of 1.4% and 1.8%, respectively, but the effect is not statistically significant for the percentage changes of all homes sold. Second, when both uncertainty and local demand shocks are introduced, the effects of uncertainty on the housing market dominate that of local labor demand shocks on housing prices, median sale prices, the share of houses selling for a loss and transactions. The aforementioned effects are largest for the states that exhibit relatively high housing price volatilities, suggesting real options effects in the housing market during the times of high uncertainty.     

Tracing the source of liquidity for distressed housing markets

We show that profit-seeking institutional investors provide valuable liquidity and spur the recovery of distressed housing markets. Using a quasi-natural experiment wherein investors purchased prepackaged distressed home portfolios from government-sponsored enterprises, we find that transaction prices of properties located within 0.25 miles of bulk-sale properties increased by 1.4% more than homes located farther away. This positive price spillover effect helped reverse the discounts at which such properties were being sold prior to the bulk-sale event. The price spillover effect due to the bulk-sale event is greater for foreclosed homes (4.1%), homes similar to the bulk-sale homes (2.5%), and homes in highly distressed neighborhoods (7.0%). Our results highlight asset disposition through pooling and institutional participation as a potential market-driven channel for the recovery of distressed housing markets.     

The Effects of Charm Listing Prices on House Transaction Prices

As is the case for many different goods and services, it is common practice in many real estate markets for sellers to offer properties for sale at listing prices just below some round number price ( e.g. , $99,900 instead of $100,000). The academic marketing literature refers to this practice as "charm" pricing and suggests that this strategy is an attempt by sellers to take advantage of buyers' cognitive processes in which charm prices affect buyers' perceptions about the seller or the item being offered for sale. Although numerous papers in the housing economics literature have addressed the impact of the magnitude of listing price on observed house transaction prices, no prior published study has considered the impact of the design of listing prices in housing markets. This paper presents an empirical investigation of the effects of charm pricing on house transaction prices using sample data. The results provide some evidence that houses listed at certain charm prices sell for significantly greater transaction prices than those listed at round number prices.     

Marking Single–Family Property Values to Market

This paper is the text of the 2001 Presidential Address for the American Real Estate and Urban Economics Association. House price prediction accuracy is a function of: (1) the procedure used to identify within–metropolitan–area housing submarket boundaries, (2) the econometric technique used to estimate the parameters of the house price model and (3) the characteristics of the local housing market. This paper empirically examines several procedures for delineating within–metropolitan–area housing submarket boundaries. In addition, the paper examines the increase in prediction accuracy that can be achieved by employing spatial econometric techniques to spatially adjust ordinary least squares house price predictions. Finally, the paper examines the influence that local housing market characteristics have on house price prediction accuracy. Housing market characteristics examined here are: (1) structural characteristics of neighborhood properties, (2) heterogeneity of the neighborhood housing stock and (3) housing market liquidity. Prediction accuracy is examined using hedonic house price equations with over 40,000 single–family transactions for Dallas, Texas.     

Uncertainty in financing interest rates for startups

The difficulty for startups to secure financing is an important issue in relation to the economic progress of developing countries. As the main financing channel for startups, informal financing is a popular topic in theoretical and practical circles. Using data on 113,656 loans to startups in Wenzhou, China, from 2016 to 2018, this paper measures the uncertainty of financing rates. The results show that from the perspective of fund suppliers, micro-loan company lending is more uncertain than direct social lending. From the perspective of financing methods, the uncertainty of contract loans is greater than the uncertainty of credit loans and is rising year on year. From the perspective of the financing period, great uncertainties occur in short-term loans of one month and long-term loans of one year or more. These results provide empirical support for policy decisions to regulate micro-loan companies, establish the spirit of contract, and increase capital liquidity.     

Real Estate Returns and Risk with Heterogeneous Investors

This article develops a theoretical framework and formulates a unified risk metric that integrates both real estate price risk and uncertainty of time on market (TOM). We demonstrate that real estate sellers with different degrees of financial distress face not only different marketing period risks, but also receive different return distributions upon successful sales. The major findings of this article can be summarized as follows. First, we show that real estate return and risk, which account for both price and TOM risk, are investor specific, varying over investors with different financial circumstances and holding periods. Second, the traditional valuation of real estate return and risk, which is based solely on the return distribution of a successful sale without considering the uncertainty of TOM and the investor's financial circumstances, underestimates real estate risk and exaggerates real estate return. Third, our empirical applications in both residential and commercial real estate markets show that the Sharpe ratio estimated by the traditional approach is seriously overstated—to the largest extent for investors with high financial distress. In addition, we find that, given the typical 5‐ to 7‐year holding period for real estate, the Sharpe ratios estimated by integrating both price and TOM risk are much in line with the performance of financial assets. These findings can help to explain the apparent “risk‐premium puzzle” in real estate.     

Pay Me Now or Pay Me Later: Alternative Mortgage Products and the Mortgage Crisis

Mortgage contract design has been identified as a contributory factor in the recent market crisis. Here we examine alternative mortgage products (including interest‐only and other deferred amortization structures) and develop a game theoretic model of contract choice given uncertain future income and house prices across different types of borrowers. Results imply that deferred amortization contracts are more likely to be selected in housing markets with greater expected price appreciation and by households with greater risk tolerance; moreover, such products necessarily entail greater default risk, especially among lower‐income households who are aggressive in housing consumption levels. Empirical tests of model predictions generally provide support for the theory.     

FHA Mortgage Discount Points, House Prices and Consumer Behavior

The allocation of FHA discount points between buyers and sellers has recently been the subject of empirical investigation. The research reported here examines this relationship in more detail. Regression equations were estimated for separate price categories of housing using dummy variables for the number of discount points being charged. Separate equations were also estimated for periods when points were rising and when they were falling. The results essentially are that sellers attempt to shift all of the discount points to buyers and frequently are successful. However, in certain situations the points are shared between buyers and seller.     

Search and Liquidity in Single-Family Housing

A two-stage least squares model of housing prices is estimated with data collected from 3358 single-family home transactions. The results provide evidence for an optimal marketing period and indicate that a liquidity premium is priced in single-family home sales. Consistent with the hypothesis derived from economic search models, the model shows higher selling prices for houses having longer expected marketing periods. The model also shows a price premium for houses that sell faster than expectations. This effect supports the concept that liquidity is a value-enhancing characteristic.     

Collusion through Coordination of Announcements

A theory is developed to explain how sellers can effectively collude by coordinating on list prices (or surcharges), while leaving sellers to set their final prices. List prices are interpreted to be cheap talk announcements about cost information unknown to buyers. Buyers use those announcements to decide whom to invite to their procurement auction and the reserve price to set. By coordinating on a high list price to signal high cost, sellers produce supracompetitive prices by inducing buyers to be less aggressive, as reflected in a higher reserve price. We show that collusion can raise social welfare.