Nowcasting economic activity with electronic payments data: A predictive modeling approach


Series: 
Working Papers
Number: 
1037
13
February
2018
Author(s) / Editor(s): 
Carlos León
Fabio Ortega
borradores@banrep.gov.co
Publishing House: 
Banco de la República
JEL Classification: 

 

The opinions contained in this document are the sole responsibility of the author and do not commit Banco de la República or its Board of Directors.

 

Economic activity nowcasting (i.e. making current-period estimates) is convenient because most traditional measures of economic activity come with substantial lags. We aim at nowcasting ISE, a short-term economic activity indicator in Colombia. Inputs are ISE’s lags and a dataset of payments made with electronic transfers and cheques among individuals, firms, and the central government. Under a predictive modeling approach, we employ a nonlinear autoregressive exogenous neural network model. Results suggest that our choice of inputs and predictive method enable us to nowcast economic activity with fair accuracy.  Also, we validate that electronic payments data significantly reduces the nowcast error of a benchmark non-linear autoregressive neural network model. Nowcasting economic activity from electronic payment instruments data not only contributes to agents’ decision making and economic modeling, but also supports new research paths on how to use retail payments data for appending current models.

Category / Classification: 
Documentos en elaboración

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This content has been translated into English for informational purposes. Upon any query regarding its interpretation or enforceability, the Spanish version shall be deemed official, and will prevail over the English version. The authors of specific texts such as working papers or articles select the language of publication; therefore, there might be cases in which the content may only be available in English. Este contenido ha sido traducido al inglés con fines informativos. En caso de duda sobre su interpretación y/o aplicación, se entenderá que la versión en español es la versión oficial y prevalecerá sobre aquella en inglés. Para casos particulares como documentos de trabajo o artículos, el idioma original de publicación es escogido por el autor, por lo cual puede haber casos en los que el contenido esté disponible sólo en inglés.  

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