Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

The Impact of Unionization Structures with Heterogeneous Firms and Rent‐Sharing Motives

How are unemployment and output affected if wages are set on the sector level rather than firm level? We take a new look at this question, allowing for heterogeneous firms and rent‐sharing motives. Without these motives, employment and output are lower under sector‐level wage‐setting due to higher wage markups. With rent‐sharing motives, however, firm selection is higher under sector‐level wage‐setting, which tends to increase employment and output, thus counteracting the markup effect. Simulations show that the firm‐selection effect decreases the difference between the two unionization structures substantially but it does not change the signs of the effects on output and employment.     

Network formation models with costs for establishing links

Abstract. In this paper we study endogenous formation of communication networks in situations where the economic possibilities of groups of players can be described by a cooperative game. We concentrate on the influence that the existence of costs for establishing communication links has on the communication networks that are formed. The starting points in this paper are two game-theoretic models of the formation of communication links that were studied in the literature fairly recently, the extensive-form model by Aumann and Myerson (1988) and the strategic-form model that was studied by Dutta et al. (1998). We follow their analyses as closely as possible and use an extension of the Myerson value to determine the payoffs to the players in communication situations when forming links is not costless. We find that it is possible that as the costs of establishing links increase, more links are formed.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.     

INFORMATION IN THE YIELD CURVE: A MACRO‐FINANCE APPROACH

We use a macro‐finance model, incorporating macroeconomic and financial factors, to study the term premium in the US bond market. Estimating the model using Bayesian techniques, we find that a single factor explains most of the variation in bond risk premiums. Furthermore, the model‐implied risk premiums account for up to 40% of the variability of one‐ and two‐year excess returns. Using the model to decompose yield spreads into an expectations and a term premium component, we find that, although this decomposition does not seem important to forecast economic activity, it is crucial to forecast inflation for most forecasting horizons. Copyright © 2012 John Wiley & Sons, Ltd.     

Planning in Turbulent Times: Exploring Planners' Agency in Jerusalem

This article explores the role of planning in the deeply divided and politically polarized context of Jerusalem. The overall argument developed throughout the article is that the relation between planning and politics is a non‐hierarchical set of interactions, negotiated within specific historical, geographical, legal and cultural contexts—in other words, orders don't come down from the politicians to be slavishly followed by planners. In this respect our findings, based on in‐depth interviews with Israeli planners, suggest that the case of Jerusalem represents a particularly dramatic illustration of the fact that the function of planning expertise can only be understood in relation to the surrounding socio‐political environment. Furthermore, contrary to conventional wisdom, planners in Jerusalem are not destined to either complicity or irrelevance in the face of political imperatives; planners' agency, however, does not simply reflect their mastery of specific professional knowledge and tools, but also their ability to act strategically in relation to the context in which they operate.     

Cultural Tourism And Flamenco In The City Of Cordoba (Spain)

Flamenco is a tourist product that can attract many visitors from around the world, and the city of Cordoba (Spain) has an important role in the origins of flamenco. This work studies whether the satisfaction of cultural tourists who visit the city can be influenced by cultural offers related to flamenco. To achieve this objective, fieldwork was carried out based on 709 surveys conducted in the most important flamenco “tablaos” (stages) of the city. The techniques of factorial analysis and linear adjustment were used. The results show that flamenco can be a product that complements the satisfaction of cultural tourists.     

Distinctive Features of Environmental Innovators: An Econometric Analysis

This paper analyzes the main determinants influencing environmental innovators (i.e. firms developing or adopting environmental innovations) in Spain with respect to non‐environmental innovators. Similarly to other contributions in the literature, our results show that Spanish environmental innovators respond to regulatory stimulus in the form of demand‐pull and technology‐push instruments. They have a high internal technological capability and combine internal and external information sources, mostly in cooperation with knowledge institutions. Environmental innovators are more concentrated in mature, traditionally highly polluting sectors, but new firms are not more environmentally innovative than incumbents. Most importantly, in contrast to other environmental innovation studies, mostly carried out in a German context, we have not found evidence of a market pull from either the domestic or international markets. Furthermore, cost savings are not found to be a distinctive driver for environmental innovators. These differential results are possibly related to the special features of Spain regarding its national innovation system and the degree of stringency of environmental regulation and environmental consciousness of its consumers. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Realized extreme quantile: A joint model for conditional quantiles and measures of volatility with EVT refinements

We propose a new framework exploiting realized measures of volatility to estimate and forecast extreme quantiles. Our realized extreme quantile (REQ) combines quantile regression with extreme value theory and uses a measurement equation that relates the realized measure to the latent conditional quantile. Model estimation is performed by quasi maximum likelihood, and a simulation experiment validates this estimator in finite samples. An extensive empirical analysis shows that high‐frequency measures are particularly informative of the dynamic quantiles. Finally, an out‐of‐sample forecast analysis of quantile‐based risk measures confirms the merit of the REQ.