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In 2016 the Central Bank of Argentina began to announce inflation targets. In this context, providing authorities with good estimates of relevant macroeconomic variables is crucial for making pertinent corrections in order to reach the desired policy goals. This paper develops a group of models to forecast inflation for Argentina, which includes autoregressive models and different scale Bayesian VARs (BVAR), and compares their relative accuracy. The results show that the BVAR model can improve the forecast ability of the univariate autoregressive benchmark’s model of inflation. The Giacomini-White test indicates that a BVAR performs better than the benchmark in all forecast horizons. Statistical differences between the two BVAR model specifications (small and large-scale) are not found. However, looking at the RMSEs, one can see that the larger model seems to perform better for longer forecast horizons
This paper provides some evidence that repeat taking of competitive exams may reduce the impact of background disadvantages on educational outcomes. Using administrative data on the university entrance exam in Turkey, the paper estimates cumulative learning between the first and the nth attempt while controlling for selection into retaking in terms of observed and unobserved characteristics. Large ... (View publication)
There has been much interest of late regarding the current commodity “super cycle”. However, even sizing the current boom implies knowledge of long-run trends that are notoriously difficult to estimate. This paper uses new techniques to identify breaks in commodity prices and estimate trends and cointegrating relationships and argues that the weight of evidence is against a stable declining commod ... (View publication)
This paper presents a forecasting exercise that assesses the predictive potential of a daily price index based on online prices. Prices are compiled using web scrapping services provided by the private company PriceStats in cooperation with a finance research corporation, State Street Global Markets. This online price index is tested as a predictor of the monthly core inflation rate in Argenti ... (View publication)
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