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.     

Deployment of Restaurants Websites’ Marketing Features: The Case of Spanish Michelin-Starred Restaurants

ABSTRACT

Websites have become a fundamental marketing tool for tourism businesses and have a special importance for highly rated restaurants. The aim of this article is to propose and apply a model to evaluate the deployment and adoption of website marketing features of restaurants from a specific category. The model is based on the application of an extended model of Internet commerce adoption (eMICA) technique for technical depth, combined with content analysis for breadth. This study analyzes the website features and capabilities for Spanish restaurants in the 2015 Michelin Red Guide. A total of 102 restaurants were analyzed. The results of the website evaluation model suggest that, despite the importance of the restaurant sector in the economy and in the tourism industry, the websites of high-quality restaurants require improvements to adapt to customers’ demands. Results further found that these websites are not tourist-orientated and are established at different stages of development.     

EDUCATIONAL PRODUCTION IN INDEPENDENT SECONDARY SCHOOLS

This article contributes to an established and growing literature in which a production function is estimated for educational institutions in order to investigate the relationship between school characteristics and performance.
Existing studies in this area have generally met with only limited success. The present study, through its application of a statistical model to comprehensive data drawn from the UK private sector of education identifies a wide range of school characteristics which significantly influence performance.
The article offers meaningful results and guidelines for further development of techniques in the investigation of a topic which is relevant to both producers and consumers of education.     

A model of demand,productivity and foreign location decision among Taiwanese firms

We develop a theoretical framework to examine the relative importance of firm demand and productivity in firm decisions to export and where to locate foreign direct investments. The model shows that the equilibrium firm decision depends on product technology, consumer preference for product quality, fixed investment costs of establishing a foreign subsidiary, transportation costs and relative wages. Our empirical results confirm the predictions of the theoretical model. Firm-level demand and productivity components are important in explaining the decision to participate in foreign markets with their relative importance depending on the firm's organizational form (exports versus FDI) and the destination of the investments. In general, FDI firms are more productive than exporting firms regardless of FDI destinations. FDI firms also have a higher demand component than exporters and this demand component is stronger than productivity. Finally, among FDI firms, while those with a high demand index and productivity have a significantly higher propensity to invest in high-income countries, firm productivity is the sole determinant of firms undertaking FDI in low-income countries.