Local Office Rent Dynamics

This study applies rent adjustment models for ten major European office markets. We capture long-run equilibrium relationships of demand and supply variables and their short-term corrections in a two equation error correction model. We test whether the local nature of office markets makes a model based on national economics inaccurate if local and national markets do not move in tandem. For this we employ a unique dataset, which includes both disaggregated and national variables to model changes in real prime rents for a group of premier and second tier office market cities across Europe for the period 1990–2006. We explicitly compare results that are derived from models that include different levels of geographic aggregation. Results of the two stage error correction model indicate that international office rents adjust to short-run changes in office related economic activity, lagged rent changes, and to the deviation of rents from their long-run values. At the same time our results offer no proof that error correction mechanism models for office rents improve significantly by specifying economic growth figures beyond the national aggregated level for the cities included in our analysis.     

Disentangling the Short and Long-Run Effects of Occupied Stock in the Rental Adjustment Process

In the current stand of literature on the rental adjustment process starting with Hendershott et al. (Real Estate Economics, 30, 165-183, 2002a, Journal of Real Estate Finance and Economics, 24, 59-87, 2002b) it has become practice to treat the compound variable “occupied stock” as a supply variable. In this study we show that this variable deserves a more critical investigation and that the general view of a supply variable may be misleading. Using panel data covering 30 urban areas for 17 years, we investigate the rental adjustment process in the German office market. The application of recently developed cointegration techniques for non-stationary panel data in conjunction with the corresponding error correction model (ECM) enables us to overcome the data limitations, particularly existent for most European real estate markets. Hence, our primary motivation is (a) to demonstrate how “occupied stock” should be interpreted correctly and (b) to provide useful insights into the long-term relationships and short-run dynamics of real office prime rents. The empirical evidence suggests that a one percent rise in office employment increases real rents on average by 1.64% through higher demand for office space. On the other hand, a one percent increase in the supply of office space decreases real rents in the long run by 2.25%. The results from the error correction model show that deviations from the long-run equilibrium lead to an adjustment process which restores equilibrium within approximately 3 years.     

The Global Determinants of Direct Office Real Estate Returns

We investigate the determinants of direct office real estate returns by analyzing rents, capital appraisals, and total returns. A recently compiled global database of major cities in Asia, Europe, and the United States provides a unique opportunity to give a macro-view on the effects of economic growth and supply and demand factors on nominal real estate returns. The global database provides quarterly observations from 1986 to 1999. To address the smoothness problem of appraisal-based price data and regulated rents, we employ the Generalized Method of Moments to estimate a dynamic panel-data model. The model allows us to combine the cross-sectional and time-series dimension in our quarterly data. We find that gross domestic product, inflation, unemployment, vacancy rate, and the available stock all have an effect on real estate returns.     

Vacancies and Rent Dispersion in a Stochastic Search Model with Generalized Tenant Demand

I model imperfect information, derive a downward sloping market demand curve, and explain vacancies in a partial equilibrium model of a rental housing market. Tenants can be completely described by an exogenous demand curve, perhaps arising from differences in income, preferred location, or tastes, and view vacant units based on a stochastic arrival of rental information. Free entry of these landlords induces excess rental housing capacity (equilibrium vacancies). I determine the equilibrium distribution of rents for vacant units, show that this rent distribution may be discontinuous, and explore the equilibrium vacancy rate to changes in exogenous parameters. The resulting characterization of equilibrium distributions of rents may be amenable to econometric modeling exploring the relationship between market rents and vacancies.     

Office Construction in Singapore and Hong Kong: Testing Real Option Implications

We advance the real-option-based empirical analysis of commercial real estate investment in three respects. First, we test several real option implications for real estate construction that have not been examined in the commercial real estate investment literature. In particular and in line with the predictions of real option models, we show that the effects of real interest rate and the expected demand growth on hurdle rent become more negative when the market volatility is greater. Second, we use a cointegrating vector of office employment and office stock to provide a better control of the demand for new construction than traditional indicators based on real estate prices and vacancy rates. Third, whereas the existing studies focus on the U.S. commercial real estate markets, we study two major office markets in Asia, namely Singapore and Hong Kong. We rely on the local stock market in the two city states to derive forward-looking measures of office demand growth expectations.

Office Building Capitalization Rates: The Case of Downtown Chicago

This paper is an empirical study of the capitalization rates for 132 office building sales in downtown Chicago from 1996 to 2007. The capitalization rate is hypothesized to be a function of the classic capital asset pricing model variable and variables intended to capture the expectation that the real market value of the building will change. The results show that the capitalization rate for office buildings incorporates a very low value for “beta.” A lower capitalization rate was associated with a smaller risk-free rate, a lower borrowing rate, class A buildings, newer buildings, buildings that had been renovated, a reduction in the vacancy rate in the downtown Chicago office market, and an increase in employment in the financial sector of the metropolitan area.     

Testing for Bubbles in Housing Markets: A Panel Data Approach

We employ recently developed cross-sectionally robust panel data tests for unit roots and cointegration to find whether house prices reflect house related earnings. We use U.S. data for Metropolitan Statistical Areas, with house price measured by the weighted-repeated-sales index and cash-flows by market tenants’ rents. In our full sample period, an error-correction model is not appropriate, i.e. there is a bubble. We then combine overlapping 10-year periods, price–rent ratios, and the panel data tests to construct a bubble indicator. The indicator is high for the late 1980s, early 1990s and since the late 1990s. Finally, evidence based on panel data Granger causality tests suggests that house price changes are helpful in predicting changes in rents and vice versa. CERGE-EI is a joint workplace of the Center for Economic Research and Graduate Education, Charles University, and the Economics Institute of the Academy of Sciences of the Czech Republic.     

The Cyclic Behavior of the Greater London Office Market

This paper applies structural econometric methodology to estimating and forecasting the greater London office market. We assemble a time series covering the 1970–1995 period and estimate equations for net space absorption, movements in rents, and new building orders. Together with two identities, calculating the stock and vacancy, these form a complete model. We estimate a generally inelastic supply and demand relationship that yields a dynamically stable system. Without unanticipated economic shocks, the market is noncyclic. Therefore the building boom of the 1980s largely is delayed response to the huge growth in service jobs that occurred over that period.     

Schumpeterian competition and efficiency among commercial banks

In this paper, we aim to fill the gap in the banking literature by quantifying the impact that the Schumpeterian competition mode – i.e. competition through the launch of new products (or new varieties of products) – has on the cost and profit efficiency of a sample of commercial banks based in the United Kingdom. We estimate both a cost and an alternative profit frontier on an unbalanced panel of UK commercial banks over the period 2001–2012. The intensity of competition through product innovation is proxied by the trademark intensity (i.e. the ratio between the number of trademarks registered in a given year by all the commercial banks – net of the trademarks registered by the bank under observation – and the employment in the sector) in the commercial banking sector. Our results show that the (lagged) trademark intensity in the commercial banking sector does affect negatively the mean cost and profit efficiency in the sector but there is evidence that as trademark intensity increases in the sector, commercial banks react by improving their cost and profit efficiency.     

Homeownership and the scarcity of rentals

The provision of owner-occupied versus rental houses is modeled as a competitive search economy where households have private information over their expected duration. With public information, households with low vacancy hazard rates pay lower rents and search in thicker rental markets. With private information, rentals are under-provided to long-duration households to discourage short-duration households from searching there. Ownership is attractive in part because it cures the private information problem. Using a novel data set of rental listings, we show that homeownership rates are high where rent-to-price ratios are low but rentals are scarce and that long-duration households sort into scarce rental markets. These patterns are consistent with the model only under private information.     

The relationship between rents and prices of owner-occupied housing in Taiwan

This article analyzes the changes of equilibrium rent and equilibrium price of owner-occupied housing in Taiwan, and also computes the rent multiplier and its trend in the past ten years in Taiwan to show how the housing consumption and housing investment change. A hedonic rent equation and a hedonic housing price equation are built first. Then, we apply the Housing Survey Report data from 1979 to 1989, and employ ordinary-least squares method to estimate the two equations. Using estimated coefficients of the two equations, we compute the market rents for owner-occupied housing and the market prices for rental housing. Finally, the rent multipliers are calculated from the market rents and market prices. The article finds that (1) changes of housing prices in Taipei lead to price changes in Kaoshung, and the latter leads Taiwan province; (2) changes of rent are much smaller than the changes of housing price; and (3) housing prices in Taiwan increased drastically. We also find: (1) at the peak of the housing market cycle, the rent multiplier is extremely high; (2) the rent multiplier drops in the year after the peak year because the rent catches up; (3) the rent multiplier in Taipei is greater than that of Kaoshung, and the multiplier in Kaoshung is greater than that of Taiwan province; and (4) overall, the rent multiplier in Taiwan is much greater than that of the United States.     

What Drives Housing Markets: Fundamentals or Bubbles?

This study applies the dynamic Gordon growth model which is in the circumstance of rational bubbles to decompose log price-rent ratio into three parts, i.e., rational bubbles, discounted expected future rent growth rates and discounted expected future returns. The latter two terms represent housing fundamentals. The magnitudes of the components of price-rent ratio’s variance are estimated to distinguish the relative impact of the three parts on housing prices. Using time series data from the housing markets in the four largest cities in China (1991:Q1–2011:Q1 for Shanghai, Guangzhou and Shenzhen; 1993:Q2–2011:Q1 for Beijing), this paper presents a number of empirical findings: (a) the variance of rational bubbles is much larger than the variance of price-rent ratio, and rational bubbles contribute more fluctuations directly to price-rent ratio than the expected returns or the expected rent growth rates do; (b) the covariance between rational bubbles and expected returns or expected rent growth rates is also large; (c) the positive covariance of rational bubbles and expected returns implies that high expected returns coexist with bubbles, which differs from previous findings that lower expected returns drive asset prices; (d) the negative covariance of rational bubbles and expected rent growth rates indicates that the larger the bubbles are, the lower the expected rent growth rates are; (e) the positive covariance of expected returns and expected rent growth rates reveals under-reaction of the housing markets to rents.     

Explaining Real Commercial Rents Using an Error Correction Model with Panel Data

This paper presents rent models for retail and office property in the United Kingdom. Panel data are used covering eleven regions for 29 years, enabling us to overcome the limitations of a relatively short time series. We use an error correction model (ECM) framework to estimate long-run equilibrium relationships and short-term dynamic corrections. The combination of panel data and an ECM is an innovative approach that is still being developed in economics. We construct new supply series that combine infrequent stock data with more frequent construction data. Separate regional models are estimated for retail and office properties. The regions are then combined into a number of panels on the basis of the income and price elasticities in the long-run and short-run models. Unlike previous studies, we find no evidence of a board north–south divide between low growth and high growth regions. Like these studies we do find a London effect: in London, demand elasticities for space with respect to both price (rent) and income are much lower in magnitude. We conclude that, while the economic drivers may vary, there is no evidence of differences in the operation of the regional property markets outside London. Elasticities for retail and office are similar. Our final models are parsimonious with single measures of economic activity and of supply and always support the use of an ECM.     

Comparative advantage and unemployment

Worker heterogeneity in productivity and labor supply is introduced into a matching model. Workers who earn high wages and work high-hours are identified as those with strong market comparative advantage—high rents from being employed. The model is calibrated to match separation, job finding, and employment in the SIPP data. The model predicts a big drop in employment for workers with weak comparative advantage during recessions. But the data show that workers with strong comparative advantage also display sizable employment fluctuations, implying that aggregate employment fluctuations are not explained by the responses of workers with small rents to employment.     

Modeling Space Market Dynamics: An Illustration Using Panel Data for US Retail

Real estate research has a long and extensive history of analyzing space market dynamics. Nonetheless, two areas have been under researched. Regional panels of data have been rarely analyzed. Moreover, due to data constraints, the retail market has been studied much less than other market segments. This paper addresses both of these topics through an analysis of Metropolitan Statistical Area (MSA) level panel data. Our study covers almost three decades of annual retail data for 11 of the largest MSAs of the United States. We estimate a long run rent model and use Error Correction Models for short run rent, vacancy and supply adjustments. We test for differences in local market behavior in both the long run equilibrium relationships and in the short run adjustment processes. We identify two groups of similar markets.     

Operating Expenses and the Rent Premium of Energy Star and LEED Certified Buildings in the Central and Eastern U.S.

This paper investigates the relationship between operating expenses and rents of Energy Star and LEED certified buildings in the Central and Eastern United States. Several studies have shown that sustainable buildings command a rent premium compared to comparable conventional buildings. Lower operating expenses are expected to be a major source of the rent premium that sustainable buildings command. This is especially the case for buildings with triple-net leases, where tenants directly benefit from savings in operating costs. For a large dataset of U.S. office buildings this study finds significantly lower operating expenses in LEED certified buildings. However, savings in operating expenses only explain part of the rent premium. Additional factors must be at work. Surprisingly, we find significantly higher operating expenses in Energy Star rated buildings. Hence, intangible benefits appear to be the major source of rental premiums of Energy Star rated buildings.     

Crisis and recovery in office markets

From 1987 to 1993, U.S. office markets were in a depression similar in length and magnitude to that of the 1930s. Vacancy rates doubled, development nearly halted, and prices and rents fell precipitously. A disaster of this magnitude requires multiple causes. Poor tax policies in Washington were important causes, as was a pervasive tendency of developers and others to overforecast the growth of office employment. However, the difference between this and earlier postwar office recessions appears to be explained mostly by the effects of the microchip revolution, which entered a new phase starting in the mid-1980s. The paper concludes with relatively optimistic notes on the likely demand growth that will result from the new and improved services that the microchip revolution will permit.     

基于空间异质性的中国住房空置率与房地产金融风险研究

运用空间计量方法,利用2004-2015年30省市面板数据考量住房空置率对房地产金融风险的影响.结果表明:中国房地产金融风险在空间上存在显著的正向关联,地理距离和经济距离均会对区域房地产风险及其空间相关性产生显著影响,在考虑了空间影响后住房空置率对房地产金融风险的影响显著为正.     

¿Hay evidencia de ciclo político-económico en el empleo sectorial de México, 1998-2013?

This paper looks for evidence of political-business cycles associated to the presidential elections in the Mexican sectorial employment over the period 1998-2013. By estimating panel data models, and controlling for the effects of the major determinants of employment, no evidence consistent with the predictions of the theoretical opportunistic model is found, i.e. whereas employment shows an expansion before and during the elections periods, the estimates are neither statistically significant nor robust. Furthermore, employment does not experience contractions after the elections or the office taking periods. Notwithstanding, the evidence suggests that employment is positively and negatively affected by output and real wages, respectively.     

Valuation in US Commercial Real Estate

We consider a log‐linearized version of a discounted rents model to price commercial real estate as an alternative to traditional hedonic models. First, we verify a key implication of the model, namely, that cap rates forecast commercial real estate returns. We do this using two different methodologies: time series regressions of 21 US metropolitan areas and mixed data sampling (MIDAS) regressions with aggregate REIT returns. Both approaches confirm that the cap rate is related to fluctuations in future returns. We also investigate the provenance of the predictability. Based on the model, we decompose fluctuations in the cap rate into three parts: (i) local state variables (demographic and local economic variables); (ii) growth in rents; and (iii) an orthogonal part. About 30% of the fluctuation in the cap rate is explained by the local state variables and the growth in rents. We use the cap rate decomposition into our predictive regression and find a positive relation between fluctuations in economic conditions and future returns. However, a larger and significant part of the cap rate predictability is due to the orthogonal part, which is unrelated to fundamentals. This implies that economic conditions, which are also used in hedonic pricing of real estate, cannot fully account for future movements in returns. We conclude that commercial real estate prices are better modelled as financial assets and that the discounted rent model might be more suitable than traditional hedonic models, at least at an aggregate level.