A dynamic factor model for the Mexican economy: are common trends useful when predicting economic activity?
In this paper Francisco Corona, Graciela González-Farías and Pedro Orraca propose to use the common trends of the Mexican economy in order to predict economic activity one and two steps ahead. We exploit the cointegration properties of the macroeconomic time series, such that, when the series are I(1) and cointegrated, there is a factor representation, where the common factors are the common trends of the macroeconomic variables. Thus, we estimate a large non-stationary dynamic factor model using principal components (PC) as suggested by Bai (J Econom 122(1):137–183, 2004), where the estimated common factors are used in a factor-augmented vector autoregressive model to forecast the Global Index of Economic Activity. Additionally, we estimate the common trends through partial least squares. The results indicate that the common trends are useful to predict Mexican economic activity, and reduce the forecast error with respect to benchmark models, mainly when estimated using PC.
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Latin American Economic Review aims to be the leading general interest journal on topics relevant to Latin America. The journal welcomes high-quality theoretical and quantitative papers on economic, social and political-economy issues with a regional focus. Articles presenting new data bases or describing structural reforms within a rigorous theoretical framework will also be considered. A few (illustrative) examples of topics that may be of special interest to this journal include: inflation, informal sector, corruption, crime, drug policy, unions, social exclusion, price controls, energy and environmental policy, natural resources, and technology transfer.