Evaluation's way is set on a paradox. The feed-back of evaluation would imply - according to a wrong way - the evaluation of the examiner. Systemic Analysis could show the promises and the semantic limits of this technical. It seems to be impossible to measure work's human value through the...

Borrowing from our experience in agent-based computational economic research from `bottom-up', this paper considers economic system as multi-level dynamical system that micro-level agents' interaction leads to structural transition in meso-level, which results in macro-level market dynamics with...

The objectives of this paper consist on two main parts:a descriptive one and an explanatory one. For the first part I used transition matrices to identify people who entered and left the poverty line in Peru between 2001-2003.Probabilistic regressions models were used to explain the main...

Two recent trends in international economics have been an increased focus on the geography of trade (e.g. what factors determine where a country exports to) and the emergence of empirical work examining firm-level data on exporting activity. However, data limitations have prevented there being...

The finite state Markov-Chain approximation method developed by Tauchen (1986) and Tauchen and Hussey (1991) is widely used in economics, finance and econometrics in solving for functional equations where state variables follow an autoregressive process. For highly persistent processes, the...

This paper explores the mechanisms behind the intergenerational earnings mobility in Spain by means of three exercises: calculating the transition matrix, decomposing the sources of earnings elasticity and estimating quantile earnings regressions. By calculating the transition matrices we find a...

We use latent class analysis to categorize development experiences. This technique allows us to consider a broad range of country characteristics including per capita income growth, health, inequality, environmental performance, and life satisfaction. We show that each of these indicators is...

This paper addresses the issue of unobserved heterogeneity in film characteristics influence on box-office. We argue that the analysis of pooled samples, most common among researchers, does not shed light on underlying segmentations and leads to significantly different estimates obtained by...

Most existing semi-parametric estimation procedures for binary choice models are based on the maximum score, maximum likelihood, or nonlinear least squares principles. These methods have two problems. They are difficult to compute and they may result in multiple local optima because they require...

We provide a comprehensive overview of latent Markov (LM) models for the analysis of longitudinal data. The main assumption behind these models is that the response variables are conditionally independent given a latent process which follows a first-order Markov chain. We first illustrate the...