This paper provides, via Monte Carlo simulations, estimates of the classical probability of overfitting under an autoregressive environment (AR), using the information criteria (IC) of Akaike, Schwarz and Hannan-Quinn (AIC, BIC and HQ), calibrated with Chilean data of total inflation, core...

The aim of this document is to provide a forecasting tool that facilitates understanding economic developments in a timely manner. This is pursued through the Bridge Model approach by using it to relate a large set of monthly indicators to Chilean GDP and its main components. The outcome is a...

Schwarz. In this paper I evaluate the predictive ability of the Akaike and Schwarz information criteria using autoregressive integrated moving average models, with sectoral data of Chilean GDP. In terms of root mean square error, and after the estimation of more than a million models, the...

In this paper we analyze the contribution of international measures of inflation to predict local ones. To that end, we consider the set of current thirty one OECD economies for which inflation data is available at a monthly frequency. By considering this set of countries, a span of time...

This paper compares the out-of-sample error of two forecasting methods for Chile’s GDP. The first method forecasts the aggregate GDP, while the second aggregates the forecasts of the supply-side components. As forecasting method we use the automatic model selection contained in the seasonal...

This paper develops two models of fishery firms in order to understand and estimate the effect of global warming (CG) on their value. CG is defined as an additional increase in the average thermal temperature caused by CO2 emissions. Two effects on the biomass stem from this temperature increase...

Granger (1966) describes how the spectral shape of an economic variable concentrates spectral mass at low frequencies, declining smoothly as frequency increases. Despite a discussion about how to assess robustness of his results, the empirical exercise focused on the evidence obtained from a...

The use of different time-series models to generate forecasts is fairly usual in the forecasting literature in general, and in the inflation forecast literature in particular. When the predicted variable is stationary, the use of processes with unit roots may seem counterintuitive. Nevertheless,...

In this paper we estimate the impact of global uncertainty shocks –identified as sudden jumps in U.S. stock market volatility– on certain sectors of the Chilean economy. Using a reduced-form VAR approach, we estimate that uncertainty shocks generate a fall in GDP of 1.7% with respect to...