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 role of satisfaction in labor diaspora dynamics: An analysis of BREXIT effects

In diaspora research, people's international mobility is often understood as a response to pull-push forces on an economic macro-level or as part of diasporic waves. However, labor diaspora formations are also influenced by micro-level (i.e., individual perceptions) drivers related to work per se, such as satisfaction. This explorative qualitative study takes a novel angle and focuses on the role of Portuguese nurses’ satisfaction with the evaluation of the Brexit scenario and its effects on this labor diaspora's mobility and stability. The findings illustrate that satisfaction, although affected by uncertainty, mainly relates to perceived working conditions and legislation and the possibilities to communicate with locals and other diasporans. This paper provides suggestions for future research and contributes to the development of theory on staying and human stickiness, explaining the dynamics of exit and entry in (re-)migration decision making.     

Modelling perceived quality,visitor satisfaction and behavioural intentions at the destination level

Visitor perceptions of the quality of a tourist destination, satisfaction with their experience and the resulting behavioural intentions are vital for successful destination management and marketing. The purpose of our research is to explore the complex relationships between these constructs using structural equation modelling, whereby both formative and reflective constructs are included. The structural model was tested on a sample of 1056 visitors at four tourist destinations in Slovenia. The empirical validation of the conceptual model supports the research hypotheses. Destination attributes affect the perceived quality of tourist offerings, which positively relates to satisfaction as well as visitors' behavioural intentions. The link between satisfaction and behavioural intentions was also confirmed. These research findings contribute to a better understanding of which behavioural mechanisms and factors represent a viable basis for increasing customer retention at the level of individual providers as well as a destination as a whole.     

Saliency of outside options in the lost wallet game

This paper reports an experiment designed to shed light on an empirical puzzle observed by Dufwenberg and Gneezy (Games and Economic Behavior 30:163–182, 2000) that the size of the foregone outside option by the first mover does not affect the behavior of the second mover in a lost wallet game. Our conjecture was that the original protocol may not have made the size of the forgone outside option salient to second movers. Therefore, we change two features of the Dufwenberg and Gneezy protocol: (i) instead of the strategy method we implement a direct response method (sequential play) for the decision of the second mover; and (ii) we use paper money certificates that are passed between the subjects rather than having subjects write down numbers representing their decisions. We observe that our procedure yields qualitatively the same result as the Dufwenberg and Gneezy experiment, i.e., the second movers do not respond to the change in the outside option of the first movers.     

An alternative method for identifying booms and busts in the Euro area housing market

This article develops a model-based method to detect booms and busts in the Euro area housing market. A model is constructed and tested, whereby the user cost rate, a demographic variable, unemployment rate, disposable income, debt-to-income ratio and housing stock are fundamental variables significantly explaining house price (HP) developments. Booms/busts are identified as episodes when the HP index exceeds the levels implied by those economic fundamentals. Furthermore, a cross-check with boom/bust episodes based on other methods is carried out to substantiate the results, while the ability of the model in predicting booms/busts in real time is also tested.     

A differentiated tolls system – an effective transport policy tool for Slovenia?

We provide an econometric model of passenger and freight transportation demand based on panel data for 10 sections of toll roads in Slovenia. Transportation demand on Slovenian motorways is price inelastic. The price elasticity of transportation demand statistically varies among different parts of the toll sections, so it would seem sensible to introduce a differentiated toll system that would allow the simultaneous achievement of multiple objectives, such as increasing the internalization of the external costs of transport, increasing transportation demand management on the basis of price and increasing cost recovery for the maintenance and development of toll roads in Slovenia. Transportation demand is even more responsive to changes in fuel price than changes in tolls, so transportation policy can manage transportation demand using differences in fuel prices. Based on estimates of demand models differentiated according to several geographical groups of road sections, we also find that growth in the price elasticity of transportation demand in Slovenia can be achieved through the expansion of the transport supply by increasing the competitiveness of rail transport and alternative transportation routes.     

Does competition influence bank failures?

There has been a notable debate in the banking literature on the impact of bank competition on financial stability. The aim of this article is to provide the first investigation of the role of bank competition on the occurrence of bank failures. We analyse this issue on a large sample of Russian banks for the period 2001–2007, as the Russian banking industry is a unique example of an emerging market which has undergone a large number of bank failures during the last decade. Our findings support the view that tighter bank competition enhances the occurrence of bank failures. Thus, measures that increase bank competition could undermine financial stability.     

Examining macroeconomic models through the lens of asset pricing

We develop new methods for representing the asset-pricing implications of stochastic general equilibrium models. We provide asset-pricing counterparts to impulse response functions and the resulting dynamic value decompositions (DVDs). These methods quantify the exposures of macroeconomic cash flows to shocks over alternative investment horizons and the corresponding prices or investors’ compensations. We extend the continuous-time methods developed in Hansen and Scheinkman (2012) and Borovi?ka et al. (2011) by constructing discrete-time, state-dependent, shock-exposure and shock-price elasticities as functions of the investment horizon. Our methods are applicable to economic models that are nonlinear, including models with stochastic volatility.