It is well known that the conventional CUSUM test suffers from low power and large detection delay. We therefore propose two alternative detector statistics. The backward CUSUM detector sequentially cumulates the recursive residuals in reverse chronological order, whereas the stacked backward...

This paper reconsiders the evolution of the growth of American cities since 1790 in light of new theories of urban growth. Our null hypothesis for long-term growth is random growth. We obtain evidence supporting random growth against the alternative of mean reversion (convergence) in city sizes...

Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...

Since Florida (2002b) revealed the importance of creative skills on economic growth, the notion of "creative class" has been deepened to analyze factors that shape the geography of talent of creative people. In spite of some strong correlations between artistic or cultural vibrancy, Third...

Many regression models are used to provide some recommendations in private sectors or government public policy. Data are usually obtained from several districts which may varies from one to the others. Assuming there is no significant variation among local data, a single global model may provide...

The term urban sprawl is often used to describe apparent inefficiencies of spatial development, including disproportionate growth of urban areas and excessive leapfrog development. In Switzerland, where open space is a scare resource, sprawl takes place all over the country. It goes at the...

Within the internal research plan of the Research Institute for Agrarian Economy and Rural Development, runs the project entitled "Marketing studies for sustainable agri-food products and consumption behavior analysis, in the European Strategy from farm to Fork objectives context". This paper...

We analyze the influence of newly constructed globalization measures on regional growth for the EU-27 countries between 2001 and 2006. The spatial Chow-Lin procedure, a method constructed by the authors, was used to construct on a NUTS-2 level a complete regional data for exports, imports and...

This study develops an easy forecasting model using prefectural data in Japan. The Markov chain known as a stochastic model corresponds to the vector auto-regressive (VAR) model of the first order. If the transition probability matrix can be appropriately estimated, the forecasting model using...

The paper presents a multiregional endogenous growth model designed for calibration with real world data and for numerical policy evaluation. It integrates four strands of research: (1) the Ramsey model of consumer behaviour, (2) Tobin's q-theory of investment, (3) Romer's theory of endogenous...