This paper introduces a method for improving the association rules that will also help improve the performance of recommender systems. Combining sampling and parallelism in the process, the proposed method, in addition to help perform the process more quickly, better quality rules will be...

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...

The 2007-2008 global financial crisis and the subsequent anemic recovery have rekindled academic interest in quantifying the impact of uncertainty on macroeconomic dynamics. This paper studies the interrelation between financial markets volatility and economic activity assuming that both...

The boom of clusters is leading to an 'explosion' of initiatives which in many cases lack an integrated approach. There are some methodologies which although strong technically, are expensive and often impossible to implement due to the shortage of basic information. This study proposes a...

This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...

Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is identified in the sense that it is invariant to the choice of an unobserved non-discriminatory wage structure, and to the choice of the reference groups of any categorical...

Estimating the causal effect of immigration on the labor market outcomes of native workers has been a major concern in the literature. Because immigrants decide whether and where to migrate, immigrant populations generally consist of individuals with characteristics that differ from those of a...