Estimación de una Propensión Marginal al Consumo Keynesiana.

Estimación de una Propensión Marginal al Consumo Keynesiana.
Francisco Javier Parra Rodríguez
parra_fj@cantabria.es

Resumen.
El objetivo es estimar la propensión marginal al consumo (PMC) a través de una función de consumo keynesiana con microdatos de las encuestas de hogares de Argentina, Estados Unidos, España y Argentina. Las estimaciones de estas funciones a partir de las encuestas de hogares se llevan a cabo con los datos agrupados en estratos de ingresos, según criterios subjetivos del investigador.
Proponemos una especificación con datos de gastos de consumo e ingresos expresados en términos “per cápita” y agrupados por percentiles de los datos de ingresos. Estas estimaciones suelen tener problemas en los errores debido a valores atípicos, dependencia de los errores entre estratos de hogares, heterocedasticidad o la existencia de relaciones no lineales. Estos problema se pueden solucionar mediante el uso de métodos alternativos de estimación a los mínimos cuadrados ordinarios (MCO), como la Regresión Band de Spectrum(RBS) ó el modelo de regresión lineal generalizado (MLG). La PMC calculada utilizando estos métodos de estimación se sitúaría en bandas en torno al 0,60-0,70. Destacando el comportamiento a-teorico de las clases bajas.

Estimación de una Propensión Marginal al Consumo Keynesiana.

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Marginal Propensity to Consume in USA by data ordered to percentiles

Francisco Javier Parra Rodríguez

Universidad de Cantabria (UNICAN), España

parra_fj@cantabria.es

Abstract

The objective of this article is to estimate a marginal propensity to consume ( MPC) for the American economy through a classic Keynesian consumption function with microdata from household surveys . The MPC value are influenced by alternative definitions of spending units or consumption expenditure and income, at real or a per capita level, usually the data are grouped by arbitrary but seemingly reasonable income intervals. The form to data are collected to describe expenditure patterns, organized by income interval, and highly aggregated, determine the different MPC in consumption function. We propose an estimation method that uses income percentiles, expenditure percentiles and the income-expenditure coincidences of grouping survey sample. These estimates usually have normal problems in error term due to outlier, dependence, heteroscedasticity or the existence of nonlinear relationships in the variables. By Regression Band Spectrum (RBS) , and Generalized Linear Models (GLM), we can solve this problems.

Classification JEL (Journal of Economic Literature): E12, E21,R21

continue:

https://rpubs.com/PacoParra/229991

“Marginal Propensity to Consume in USA by data ordered to percentiles

Marginal Propensity to Consume in USA

Francisco Javier Parra Rodríguez

Universidad de Cantabria (UNICAN), España

parra_fj@cantabria.es

Abstract

The objective of this article is to estimate a marginal propensity to consume ( MPC) for the American economy through a classic Keynesian consumption function with microdata from household surveys . The MPC value are influenced by alternative definitions of spending units or consumption expenditure and income, at real or a per capita level, usually the data are grouped by arbitrary but seemingly reasonable income intervals. The form to data are collected to describe expenditure patterns, organized by income interval, and highly aggregated, determine the different MPC in consumption function. We propose an estimation method that uses income percentiles to grouping survey sample. These estimates usually have normal problems in error term due to outlier, dependence, heteroscedasticity or the existence of nonlinear relationships in the variables. By Regression Band Spectrum (RBS) , and Generalized Linear Models (GLM), we can solve this problems.

Classification JEL (Journal of Economic Literature): E12, E21,R21

In R-Pub:

http://rpubs.com/PacoParra/188142

Marginal Propensity to Consume in USA