Stational cointegration in the demand of money for transactions, Peru: 1991-2014

Descripción del Articulo

The demand for long and short term real balances for Peru is theoretically consistent and empirically robust using the seasonal cointegration methodology. The stability of this function is of paramount importance for the management of monetary policy. The study uses quarterly data for the period fro...

Descripción completa

Detalles Bibliográficos
Autor: Huacani Sucasaca, Yudy
Formato: artículo
Fecha de Publicación:2017
Institución:Universidad Nacional del Altiplano
Repositorio:Revista de Investigaciones Altoandinas
Lenguaje:español
OAI Identifier:oai:huajsapata.unap.edu.pe:article/153
Nivel de acceso:acceso abierto
Materia:demand for money
seasonal cointegration
seasonal error correction model
HEGY test
demanda de dinero
cointegración estacional
modelo de corrección de error estacional
Descripción
Sumario:The demand for long and short term real balances for Peru is theoretically consistent and empirically robust using the seasonal cointegration methodology. The stability of this function is of paramount importance for the management of monetary policy. The study uses quarterly data for the period from the fourth quarter of 1991 to the first quarter of 2014; considers a demand for money based on a scale variable representative of the income of the economy, interest rate in national currency and nominal exchange rate. The coefficients of income elasticity, interest rate and exchange rate vary in sign and magnitude depending on the theory. The long-term model and the mechanism of error correction using the short-term models exceed statistical tests, whereas the chow and cusum squared tests explain that the demand for money is a stable function. The exogeneity analysis of the regressors shows the existence of weak, strong exogeneity and superexogeneity. The predictive capacity of the seasonal cointegration model shows superiority with respect to the standard cointegration model, which allows to conclude that they are efficient to make forecasts.  
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).