The price responsiveness of housing supply in OECD countries

The responsiveness of housing supply to changes in prices bears important implications for the evolution of housing prices and the speed of adjustment of housing markets. Based on a stock-flow model of the housing market estimated within an error correction framework, this paper estimates the long-run price elasticity of new housing supply in 21 OECD countries. Estimates suggest that the responsiveness of housing supply to price changes varies substantially across countries. It is relatively more flexible in North America and some Nordic countries, while it is more rigid in continental European countries and in the United Kingdom. The responsiveness of housing supply depends not only on national geographical and urban characteristics but also on policies, such as land use and planning regulations.     

Household borrowing and metropolitan housing price dynamics – Empirical evidence from Helsinki

This article argues that, especially in the absence of sufficient direct data on credit constraints, it is reasonable to add a household debt variable in an empirical model studying housing price dynamics. This is because household borrowing is likely to reveal information regarding the credit constraints faced by households. Moreover, debt may also give information on expected income growth and interest rate movements. The aim of this study is to examine empirically if household borrowing data, indeed, is of importance in a dynamic housing price model. In line with the prior expectations, it is found that housing appreciation in the Helsinki Metropolitan area is Granger caused by the household debt-to-GDP ratio both in the short and in the long run. Causality from the housing market to credit, in turn, seems to run only through a cointegrating long-run relation. While the estimated long-run relation between housing prices, income and debt-to-GDP ratio appears to have remained stable through the sample period (1975Q1-2006Q2), the short-run dynamics changed somewhat due to the financial liberalization in the late 1980s. The stability of the long-run relation implies that the loan data are able to cater, at least to a notable extent, for the effect of the changes in Finnish households’ liquidity constraints on housing demand. In line with previous literature, it is also found that housing price adjustment is sluggish and includes notable backward-looking features.     

Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data

In this paper we investigate housing price volatility within a spatial econometrics setting. We propose an extended spatial regression model of the real estate market that includes the effects of both conditional heteroskedasticity and spatial autocorrelation. Our suggested model has features similar to those of autoregressive conditional heteroskedasticity (ARCH) in the time-series context. We utilize the spatial ARCH (SARCH) model to analyze Boston housing price data used by Harrison and Rubinfeld (1978) and Gilley and Pace (1996). We show that measuring the variability of housing prices is an important issue and our SARCH model captures the conditional spatial variability of Boston housing prices. We argue that there is a different source of spatial variation, which is independent of traditional housing and neighborhood characteristics, and is captured by the SARCH model.     

Subprime lending and the housing bubble: Tail wags dog?

The cause of the “housing bubble” associated with the sharp rise and then drop in home prices over the period 1998–2008 has been the focus of significant policy and research attention. The dramatic increase in subprime lending during this period has been broadly blamed for these market dynamics. In this paper we empirically investigate the validity of this hypothesis vs. several other alternative explanations. A model of house price dynamics over the period 1998–2006 is specified and estimated using a cross-sectional time-series data base across 20 metropolitan areas over the period 1998–2006. Results suggest that prior to early 2004, economic fundamentals provide the primary explanation for house price dynamics. Subprime credit activity does not seem to have had much impact on subsequent house price returns at any time during the observation period, although there is strong evidence of a price-boosting effect by investor loans. However, we do find strong evidence that a credit regime shift took place in late 2003, as the GSE’s were displaced in the market by private issuers of new mortgage products. Market fundamentals became insignificant in affecting house price returns, and the price-momentum conditions characteristic of a “bubble” were created. Thus, rather than causing the run-up in house prices, the subprime market may well have been a joint product, along with house price increases, (i.e., the “tail”) of the changing institutional, political, and regulatory environment characteristic of the period after late 2003 (the “dog”).     

What factors drive the price–rent ratio for the housing market? A modified present-value analysis

We consider which factors determined the price–rent ratio for the housing market in 18 U.S. metropolitan statistical areas (MSAs) and at the national level over the period of 1975–2014. Based on a present-value framework, our proposed empirical model separates the price–rent ratio for a given market into unobserved components related to the expected real rent growth and the expected housing return, but is modified from standard present-value analysis by also including a residual component that captures non-stationary deviations of the price–rent ratio from its present-value level. Estimates for the modified present-value model suggest that the present-value residual (PVR) component is always important and sometimes very large at the national and MSA levels, especially for MSAs that have experienced frequent booms and busts in the housing market. In further analysis, we find that house prices in MSAs that have larger PVR components are more sensitive to mortgage rate changes. These are also the MSAs with less elastic housing supply. Also, comparing our results with a recent statistical test for periodically-collapsing bubbles, we find that MSAs with large estimated PVR components are the same MSAs that test positively for explosive sub-periods in their price–rent ratios, especially during the 2005–2007 subsample. Our approach allows us to estimate the correlation between shocks to expected rent growth, the expected housing return, and the PVR component. We find that the expected housing return and movements in the PVR component are highly positively correlated implying an impact of the expected housing return on house prices that is amplified from what a standard present-value model would imply. Our results also show that most of the variation in the present-value component of the price–rent ratio arises due to the variation in the expected housing return.     

How should monetary policy respond to changes in the relative price of oil? Considering supply and demand shocks

This paper examines optimal monetary policy in a New Keynesian model where supply and demand shocks affect the price of oil. Optimal policy fully stabilizes core inflation when wages are flexible. The nominal rate rises (falls) in response to the demand (supply) shock. With sticky wages core inflation falls (rises) in response to the demand (supply) shock. Impulse response functions from a VAR estimated with post-1986 U.S. data show minimal movement in core inflation in response to both shocks. The federal funds rate rises (falls) in response to the demand (supply) shock, consistent with the predictions from the theoretical model for policy that stabilizes core inflation.     

A re-examination of housing bubbles: Evidence from European countries

This study uses data from six Eurozone countries and the United Kingdom between 1980Q1 and 2018Q4 to examine whether these countries had housing bubbles during the observed period. Whereas typical studies make strictly limited assumptions regarding interest rates, we make an unconventional argument for the necessity of testing the integration relationship between the price–rent ratio and the interest rate reciprocal to determine the existence of housing bubbles. To verify this study’s proposition, two housing bubble indicators were adopted to dynamically examine periods of housing bubbles in European countries by using a series of individual countries and panel data from Eurozone countries. According to the empirical results for individual countries, although the price–rent ratio indicates the occurrence of housing booms in the targeted countries, the evidence for housing bubbles is unclear. The dynamic bubble indicator revealed that housing bubbles occurred in France and Ireland within a short period in 1993Q3 and 2000Q2, respectively. Spain experienced two short-term housing bubbles in 1990Q1 and 2015Q1. The short-term bubbles signify that the housing markets were efficient. Once the price–rent ratio failed to converge toward the nominal interest rate, market traders’ rational behavior can immediately correct the short-term market divergence. The panel data of the Eurozone countries also reveals that simply using the price–rent ratio for examination may underestimate the correction of the housing markets. In conclusion, the results of this study demonstrate the importance of the interest rate in controlling the housing market.     

What is behind the real appreciation of the accession countries’ currencies?: An investigation of the PPI-based real exchange rate

In the paper, we calculate real equilibrium exchange rates (EER) for EU accession countries and compare these with the actual exchange rate movements since the mid-1990s. The real equilibrium exchange rates are derived from models of macroeconomic balance and tested for econometrically. It is found that productivity increases can be regarded as one source of the observed PPI-based real appreciation of the accession countries’ currencies. These productivity gains experienced in the process of economic catch-up imply an increased capacity to produce high-quality export goods and are a key driving force of exports. To a large extent real appreciation can, therefore, be viewed as an equilibrium phenomenon.     

A characterization of equilibria in the Groves–Ledyard mechanism

In this paper, we characterize all interior and boundary equilibria of the Groves–Ledyard mechanism for a large class of economies and determine their stability properties. We show that the mechanism admits three types of equilibria: a symmetric, efficient, stable interior equilibrium, a large set of asymmetric, efficient, unstable, interior equilibria, and a large set of asymmetric, inefficient, stable boundary equilibria. We further show that asymmetric equilibria fail to exist for large values of the punishment parameter or if the message space is bounded sufficiently. The boundary equilibria previously had not been located nor had the instability of the asymmetric equilibria been known. Interestingly, the stability of the symmetric equilibrium rests on two dynamics that individually produce instability.     

Extracting a common stochastic trend: Theory with some applications

This paper investigates the statistical properties of estimators of the parameters and unobserved series for state space models with integrated time series. In particular, we derive the full asymptotic results for maximum likelihood estimation using the Kalman filter for a prototypical class of such models—those with a single latent common stochastic trend. Indeed, we establish the consistency and asymptotic mixed normality of the maximum likelihood estimator and show that the conventional method of inference is valid for this class of models. The models we explicitly consider comprise a special–yet useful–class of models that may be employed to extract the common stochastic trend from multiple integrated time series. Such models can be very useful to obtain indices that represent fluctuations of various markets or common latent factors that affect a set of economic and financial variables simultaneously. Moreover, our derivation of the asymptotics of this class makes it clear that the asymptotic Gaussianity and the validity of the conventional inference for the maximum likelihood procedure extends to a larger class of more general state space models involving integrated time series. Finally, we demonstrate the utility of this class of models extracting a common stochastic trend from three sets of time series involving short- and long-term interest rates, stock return volatility and trading volume, and Dow Jones stock prices.     

Convenient links for the estimation of hedonic price indexes: the case of unique,infrequently traded assets

Hedonic methods are a prominent approach in the construction of quality‐adjusted price indexes. This paper shows that the process of computing such indexes is substantially simplified if arithmetic (geometric) price indexes are computed based on exponential (log‐linear) hedonic functions estimated by the Poisson pseudo‐maximum likelihood (ordinary least squares) method. A Monte Carlo simulation study based on housing data illustrates the convenience of the links identified and the very attractive properties of the Poisson estimator in the hedonic framework.     

OLIGOPOLY GAMES AND THE COURNOT–BERTRAND MODEL: A SURVEY

Traditional oligopoly models hold that firms compete in the same strategic variable, output (Cournot) or price (Bertrand). Alternatively, a hybrid model allows some firms to compete in output and other firms to compete in price, also known as the Cournot–Bertrand model. When the choice of strategic variable is endogenous, the established dominant strategy is output competition. A growing body of work demonstrates, however, that the Cournot–Bertrand outcome can be a subgame‐perfect Nash equilibrium in the presence of market asymmetries. Observations of real‐world markets consistent with Cournot–Bertrand behavior bolster justification for the model and have stimulated an impressive and evolving literature on advances and applications. We lay out the roots of the Cournot–Bertrand model and explore a number of model developments. We categorize 12 primary models in the literature based on alternative assumptions. In particular, some authors consider when the timing of play as well as the choice of strategic variable are endogenous. Altogether, this research identifies when Cournot–Bertrand behavior can emerge in a dynamic setting and under alternative market conditions. We also review the Cournot–Bertrand model applications in the fields of international economics, industrial organization, labor, and public economics. We expect the literature to continue to expand in the future.     

Beyond win–win: A syncretic theory on corporate stakeholder engagement in sustainable development

This article explores the concept of syncretism to articulate the construct of a novel theoretical approach that may help to accelerate progress in developing substantively more sustainable business activities. One reason why the integration of environmental and social responsibility in business has been so difficult to achieve in practice is that it is not just a battle of competing business logics but a battle of faiths. The concept of syncretism, with its roots in religious synthesis, may be far more relevant and useful than conventional approaches to combining the two, which rarely seem to rise above a “win–win” appeal to logic. The connectionist logic of syncretism may show us a way beyond paradigmatic conformity in business sustainability research so that scholars with diverse theoretical backgrounds might have a common ground for discussion, find constructive connections, and engage in potentially more insightful and creative interactions to develop our understanding of corporate sustainability.     

Moderation by goal commitment of the feedback–performance relationship: Theoretical explanation and preliminary study

This paper presents goal commitment as one stage of a multidimensional goal striving process that affects feedback acquisition, processing, and use during the achievement of performance goals. Specifically, this paper argues that higher goal commitment leads to more effective acquisition, processing, and use of feedback that in turn fosters higher performance than does lower goal commitment. To provide a preliminary test of this proposition, data from an earlier field study conducted by the author and colleagues [J. Occup. Organ. Psychol. 72 (1999) 107] were used to examine the moderating effects of goal commitment on the relationship between perceived task feedback amount and work performance of 196 rehabilitation counselors. Results were consistent with this proposed interaction, as perceived task feedback amount had a positive linear relationship with work performance for higher goal commitment rehabilitation counselors and a negative linear relationship with performance for lower goal commitment counselors. The discussion urges researchers to broaden their views of goal commitment beyond the goal difficulty–performance relationship and to devote more attention to moderators of the feedback–performance relationship. Directions for future research and practical implications are also discussed.     

Creating value through returns management: Exploring the marketing–operations interface

Managing the return flow of product is increasingly recognized as a strategically important activity that involves decisions and actions within and across firms. We focus specifically on returns management at the marketing-operations interface, by utilizing the conceptualization of customer value and its related drivers. In order to explore the phenomenon of returns management across a multi-disciplinary, managerial spectrum, a qualitative research methodology relying on individual managers’ perceptions was chosen to generate depth of understanding given the limited current understanding of the research topic under consideration. Our results suggest that functional integration at the marketing-operations interface can lead to better alignment of corporate resources and thus create higher levels of customer value. We also found the external business environment to impact how and why a firm creates customer value through the returns management process. Overall, our results suggest that when returns management is recognized as a matter of a firm's competitiveness, the joint role of operations and marketing is imperative to success.     

A multi-level model for studying the context and impact of work–family policies and culture in organizations

The purpose of this paper was to provide an integrative multi-level framework that could help scholars study the impact of work–family policies on individual employees as well as assist practitioners in making informed decisions regarding the adoption, design, implementation, and allowance of these policies. This multi-level model illustrates the various macro- and mesolevel factors that may influence individual perceptions (i.e., equity perceptions, negotiation power, sense of entitlement) regarding work–family policies. By providing such a model, a common language may be developed for researchers from various disciplines studying this issue and better insight into the various linkages that are involved. Additionally, the framework can provide HR practitioners with a deeper understanding of the contextual factors that may influence the effectiveness of work–family policies in their organizations.     

Retaining Employees Through Anti–Sexual Harassment Practices: Exploring the Mediating Role of Psychological Distress and Employee Engagement

The present study utilized sexual harassment, organizational climate, and engagement theories to articulate a process model of how perceived anti–sexual harassment practices and sexual harassment incidents relate to affective commitment and intentions to stay. The authors hypothesized that perceived anti–sexual harassment practices and sexual harassment incidents would relate to employee engagement, both directly and indirectly through psychological distress. Moreover, psychological distress and employee engagement were hypothesized to mediate the relationships of perceived anti–sexual harassment practices and sexual harassment incidents with affective commitment and intentions to stay. Study findings supported these hypotheses within two subsamples of female (N = 3,283 and 3,207) and male (N = 3,460 and 3,300) military personnel. © 2014 Wiley Periodicals, Inc.     

Mortality Forecasting and Trend Shifts: an Application of the Lee–Carter Model to Swedish Mortality Data*

In this paper we examine how the Lee–Carter model fares with Swedish data for the period 1901–2001 and for segments of this period. We have choosen to censor ages less than age 40 as those ages only are of marginal interest to the forecast. At age 40 some 98 to 99 percent of the birth cohorts are survivors. In the study we only consider the unweighted K¹ estimates. The Lee–Carter model provides very good fits to the data. When splitting up the base period there seems to be an interaction beween the age and time components of the model. In order to deal with the different phases of falling mortality for males and females possibly one should choose the past 25 years as a base in the model. Selecting the base period is however a judgmental issue depending on the main focus of the forecast. Is it long‐term, short‐term or, as in Sweden, a combination of both.?     

On the dynamics of the Israeli–Arab arms race

This article investigates the causal relationships between the military expenditures and military burden of the four major sides of the Israeli–Arab conflict, namely, Egypt, Israel, Jordan and Syria over the period 1960–2004. We utilize both the causality test suggested by Toda and Yamamoto [Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66, 225–250] and the generalized forecast error variance decomposition method of [Pesaran, M. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58, 17–29]. Our findings suggest weak causality that runs usually from Israel's to Arab's military spending. The strongest links are between Israel and Syria that are still in a state of enmity. No causality was detected between Israel's and Jordan's military spending.