Board of Director Monitoring and Firm Value in REITs

This article examines the influence of board of director composition and characteristics on real estate investment trust (REIT) shareholder wealth as measured by firm market-to-book ratios. Results show that increased outside director representation on the board leads to increased market-to-book ratios up to a point. However, as outside representation becomes too large, the market discounts REIT shares. In addition, a positive relationship is observed between REIT market-to-book ratios and the dollar values of director ownership, providing support for alignment benefits associated with increased director stock ownership.

Sale Leaseback Transactions: Price Premiums and Market Efficiency

Sale-leaseback transactions are ubiquitous in real estate markets in the United States with annual volume estimated to be greater than $7 billion. However, there is no evidence concerning the price impact of such transactional arrangements. Using a data set of sale-leaseback transactions, this study examines the price impact on commercial property transactions across seven markets. The findings reveal that transactions structured as saleleasebacks occur at significantly higher prices than market transactions. In addition, after accounting for income differentials, buyers and sellers are appropriately pricing the transactions resulting in no undue advantage to either party, that is, the expected price premium is accounted for in the saleleaseback prices.

Creating a Constant-Quality Index for Small Multifamily Rental Housing

Researchers since the early 1960s have constructed constant-quality price indices (CQIs) for single-family dwellings. This paper, however, applies the methodology to construct CQIs for a different property type - small multifamily rental housing with two to four units (MRH) - so that price changes can be measured. Over the period 1983 through 1988, MRH prices increased 70% in Connecticut, but decreased nearly 65% in Baton Rouge, Louisiana. These locations and the sample period are chosen because Connecticut's economy boomed, while Baton Rouge's collapsed; as well, Congress debated and passsed the 1986 Tax Reform Act (TR). TRA affected both regions' MRH prices, but other factors contributed to price changes, also.

Affinity Programs and the Real Estate Brokerage Industry

This study surveys active real estate brokers obtaining information on involvement in affinity programs and referral/relocation networks. Some results regarding affinity involvement are: (a) 13% of respondents reported affinity affilliations, 75% reported no affiliations, and 12% indicated plans to become involved within the next year; (b) about half having affinity affiliations were involved with 2-4 groups; (c) affinity relationships were most often with membership organizations, corporations, and professional organizations; (d) the primary affinity benefits provided were commission reductions, special mortgage packages, and discounted closing services; (e) 38% of respondents reported an increase in profitability die tp affinity affiliation while 21% reported a decrease; and (f) 56% reported an increase in agent productivity. An empirical income model shows that affinity affiliation has a positive effect on broker income. The probit models shows that: (a) participation in affinity arrangements is more likely for larger firms and national franchises but is not sensitive to location; and (b) large firms are more likely to participate in a larger number of affinity relationships.

Determining Real Estate Licensee Income

This article examines the determinants of real estate licensee income using a 1997 survey of Texas real estate licensees. The factors having a positive effect on licensee income include: (1) number of hours worked; (2) work experience; (3) being a male; (4) using computer technology; (5) being involved in more transactions; (6) holding professional designations; (7) being associated with a larger firm; and (8) having access to personal assistants. Variables that negatively affect income include: (1) age; (2) selling primarily residential properties; and (3) having more affiliations. The results of this study, combined with previous studies, indicates that the high-earning real estate licensee is a younger male with more experience who: (1) works more hours; (2) has job satisfaction; (3) holds professional designations; (4) has access to personal assistants; and (5) utilizes a personal computer.

Aggregation Bias in Price Indices for Multi-Family Rental Properties

This article examines aggregation bias in price index construction. Specifically, we test whether changes in values of 2- to 4-unit, multi-family rental housing properties vary systematically in the same market across property size. Moreover, we examine the time trend differences across locations within a geographic region for various sized multiplex properties, as well as investigate how size should be measured. Results suggest that absolute price changes are significantly different across property size, as determined by living area, and that the time trend does not differ across locations within a geographic region. Further research using this methodology is recommended for other property types.

Determinants of Real Estate Licensee Income

This paper examines the factors that influence the income of real estate licensees. An empirical human capital earnings model is developed from a 1995 survey of Florida real estate brokers and salespeople. In seeking to explain earnings of real estate licensees, this study expands from previous studies by measuring several additional human capital components. A number of factors are seen to positively affect licensee income. These include (a) number of hours worked, (b) experience, (c) franchise affiliation, (d) being an owner/manager, (e) working in a metropolitan area, (f) level of job satisfaction, and (g) having errors and omissions insurance. Variables that have a negative effect on income include (a) being a female, (b) selling primarily residential properties, (c) age of licensee, (d) image perception, and (e) working weekends. Segmenting the data by income into thirds and comparing the means of the variables for the high- and low-income groups, several variable means are significantly different. the high income group has significantly higher means for these variables: (a) hourly income, (b) number of hours worked, (c) working full-time, (d) working on the weekend, (e) utilizing correspondence to satisfy continuing educational requirements, (f) work experience, (g) membership in clubs/professional organizations, (h) holding a broker's license, (i) length of current affiliation, (j) being a manager/owner, (k) holding professional designations, and (l) belonging to the state's Realtor association. The low-income group has a significantly higher variable mean for participation in residential sales.

Mass Transportation, Apartment Rent and Property Values

Rent plays a vital role in property valuation because any positive or negative influence on rent will in turn affect a property's value. This paper examines the effect of mass transportation on apartment rent. Specifically, this study investigates the impact on rent and value for residential income properties located in close proximity to Washington, D.C. Metrorail stations. After reviewing the empirical research which has focused on the effect of mass transportation availability on property values, this paper examines the benefits on apartment rent of Washington, D.C. apartment buildings from location near Metrorail stations. Our empirical results show that distance from a metro station has an adverse impact on apartment rent, i.e., each one-tenth mile increase in distance from the station results in a decrease in rent per apartment unit of about 2.50%. This analysis should be of interest to a host of domestic and international market participants including academics who study real estate markets, tax assessors who determine market value, appraisers who make market-derived rent adjustments, and property managers who set apartment rents.

Using Geographic Information Systems to Improve Real Estate Analysis

Geographic information systems (GIS) technology provides users with the ability to improve real estate analysis. First, we describe GIS in general and then discuss some GIS real estate applications. Next, we illustrate how GIS can be used to calculate a shortest-path algorithm that produces a location variable superior to the traditionally used straight-line distance variable. Our sample provides empirical evidence of a statistically significant relationship between residential sales prices and the additional information provided by the GIS-created variable.