Análisis de la acumulación y distribución de la riqueza.

Boldova Marzo, Daniel Miguel (2022): Análisis de la acumulación y distribución de la riqueza.

Abstract

The present study intends to evaluate how wealth is accumulated and distributed in society. First, the main economic theories that explain the way in which people accumulate wealth throughout their lives are examined, evaluating different approaches. In addition, the phenomenon of wealth inequality is exposed, analyzing how wealth is distributed. Secondly, it carries out a graphic analysis employing wealth indicators. This is made from a European perspective and an international one. The European analysis examines the trends of wealth indicators in the countries of the European Union, while the international compares the wealth indicators trends of the world's main economic powers. Finally, it is introduced an econometric model that attempts to explain the behavior of the average wealth per adult in Spain. Based on different academic studies and previous econometric models, economic and demographic indicators are introduced as the exogenous variables of the model. The resulting econometric model is explanatory, as it is capable of explaining the behavior of average wealth, and statistically reliable, due to it is corroborated by different contrasts. In addition, this model is consistent with previous academic contributions and allows to explain how the endogenous variable is correlated with the exogenous ones.

• Item Type: MPRA Paper
• English Title: Analysis of capital accumulation and weatlh distribution.
• Language: Spanish
• Keywords: wealth distribution; capital accumulation; inequality; econometric model; wealth per adult.
• Subjects: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation; D - Microeconomics > D3 - Distribution > D31 - Personal Income, Wealth, and Their Distributions; D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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