The Accuracy of Forecasts Made for the Structure of Consumer Basket: A Comparative Analysis between Euro Area and Romania // La exactitud de las predicciones para la estructura de cesta del consumo: un análisis comparativo entre la zona euro y Rumanía


  • Mihaela Bratu (Simionescu) Academy of Economic Studies, Bucharest

Palabras clave:

Forecasts, Markov chains, accuracy indicators, consumer basket, harmonized index of consumer prices, previsiones, cadenas de Markov, indicadores de precisión, cesta del consumo, índice de precios al consumo armonizado


In this study, the Markov chain method was used to predict the structure of consumer basket for euro zone and Romania, a country that tries to fulfill the entrance conditions in euro area, by using the same methodology for the determination of harmonized index of consumer prices (HICP). The ex-post assessment of forecasts for 2010-2012 evidences the superiority of forecasts accuracy for euro area based on this method. The highest degree of accuracy in each territorial unit is registered for services weights, according to U Theil's statistic, even if the absolute indicators for accuracy are lower for other weights predictions. It is anticipated that for 2013 the Markov chain method will predict the best foreach consumer basket the food weights forecasts for euro area and the services weights predictions for Romania.


En este estudio se aplica el método de las cadenas de Markov para predecir la estructura de la cesta de consumo para la zona euro y para Rumanía, un país que trata de cumplir las condiciones de entrada en la zona euro. En ambos casos, se sigue la misma metodología para la determinación del índice armonizado de precios al consumo (IPCA). La evaluación ex-post de las previsiones para el período 2010-2012 pone de manifiesto la mejora de la precisión de las previsiones para la zona euro al usar este método. El mayor grado de precisión en cada unidad territorial se ha registrado para los pesos de los servicios, de acuerdo con el estadístico U de Theil, aunque los indicadores absolutos de precisión son más bajos para otras predicciones de pesos. Se considera que las predicciones para el año 2013 por el método de las cadenas de Markov serán más precisas para cada cesta de consumo en las previsiones de los pesos para los alimentos para la zona euro y para las de los pesos de los servicios para Rumanía.


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Cómo citar

Bratu (Simionescu), M. (2016). The Accuracy of Forecasts Made for the Structure of Consumer Basket: A Comparative Analysis between Euro Area and Romania // La exactitud de las predicciones para la estructura de cesta del consumo: un análisis comparativo entre la zona euro y Rumanía. Revista De Métodos Cuantitativos Para La Economía Y La Empresa, 15, Páginas 87 a 100. Recuperado a partir de