Using detailed data on a cohort of young Americans who were in their late twenties and early thirties in 2008, we investigate the importance of forces different from economic incentives in nest-leaving decisions. We apply recent methods from social network econometrics to identify the importance...

The SAR model is widely used in spatial econometrics to model Gaussian processes on a discrete spatial lattice, but for large datasets, fitting it becomes computationally prohibitive, and hence, its usefulness can be limited. A computationally-efficient spatial model is the spatial random...

This paper considers a partitioned population and develops a decomposition of the Gini index in two components, which measure the within and the between groups inequality. Differently from the most widespread inequality measure decompositions, having a between component that compares the means...

The socioeconomic impact of spatial concentration has been receiving an increasing attention during the last two decades. Consequently, the necessity of effective measures of this phenomenon has increased too. This paper considers a population partitioned by subgroups and develops a...

The objective of this paper is to identify classes of regions presenting different economic situations and apply a join-count test to examine spatial dependences between these classes. The test examines spatial autocorrelation on the basis of qualitative data. The global join-count test...

Mandelbrot (1960) proposed using the so-called Pareto-Lévy class of distributions as a framework for representing income distributions. We argue in this paper that the Pareto-Lévy distribution is an interesting candidate for representing income distribution because its parameters are easy to...

This paper contributes to the income inequality literature that is based on the traditional Kuznets model. Level of development, state employment, fiscal redistribution, and price stability are found to improve income inequality in a given country. The positive impact of price stability on...

This study examines whether personal net worth affects new venture creation and performance. Prior research on wealth and entrepreneurial entry has relied on data providing only a snapshot of the transition into self-employment. The present study draws on a sample of US nascent entrepreneurs...

We propose a general framework for Maximum Likelihood (ML) and Bayesian estimation of income distributions based on grouped data information. The asymptotic properties of the ML estimators are derived and Bayesian parameter estimates are obtained by Monte-Carlo-Markov-Chain (MCMC) techniques. A...