In this paper we study income polarization by first comparing the efficiency of two statistical models to identify the number of poles in the income distribution empirically. The statistical models used are a multi-resolution analysis (MRA) and a log-normal approach (LNA). We then apply the...

The growing importance of services has led to significant structural change in advancedeconomies, with the service sector now accounting for the largest share of employment indeveloped countries. In his seminal model of the so-called cost disease of services, WilliamBaumol noted that the prices...

In this work the author updates the reviews on endogenous growth theories in order to explore whether recent empirical studies have become more supportive of their main predictions. Among the core topics studied in the growth econometric framework, namely convergence, identification of growth...

Über die 90er Jahre hat die Ungleichheit der am Markt erzielten Bruttoeinkommen - Löhne und Gehälter, Unternehmer- sowie Vermögenseinkommen - in Deutschland zugenommen. Während die preisbereinigten Einkommen im Durchschnitt konstant blieben, gab es für die oberen 10 % der...

In this paper we look at the income distribution by cohort in Chile. We construct a synthetic panel from cross section surveys and estimate the income distribution for cohorts born between 1902 and 1978. We then decompose the evolution of these distributions into age, year and cohort effects....

Using household surveys that cover more than 50 years of the political and economic history of Chile, we investigate changes in the shape of the distribution of income in Chile, and in the composition of top 10% and top 1% incomes. In line with international evidence, top incomes concentration...

This study measures the impact of changes in the income determinants on inequality in the 1990 to 2003 period, in order to answer the question of why income distribution as a whole has not changed. The methodology utilized are micro-simulations of income distribution, which is the most...