We test two questions: (i) Is the Bayesian Information Criterion (BIC) more parsimonious than Akaike Information Criterion (AIC)? and (ii) Is BIC better than AIC for forecasting purposes? By using simulated data, we provide statistical inference of both hypotheses individually and then jointly...

We test two questions: (i) Is the Bayesian Information Criterion (BIC) more parsimonious than Akaike Information Criterion (AIC)?, and (ii) Is BIC better than AIC for forecasting purposes? By using simulated data, we provide statistical inference of both hypotheses individually and then jointly...

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...