This paper explores the application of machine learning (ML) techniques to nowcast the monthly year-over-year growth rate of both total and non-primary GDP in Peru. Using a comprehensive dataset that includes over 170 domestic and international predictors, we assess the predictive performance of...

This paper examines the relationship between unemployment rate, inflation rate and economic output in Britain over 34 years. It utilizes a range of different time series techniques, including the ADF and PP unit root test, the autoregressive distributed lag model to cointegration (ARDL model)....

I use Bayesian VARs with stochastic volatility to forecast global temperatures and sea level and ice cover in the Northerin emisphere until 2010, by exploiting (i) their long-run equilibrium relationship with climate change drivers (CCDs) and (ii) the relationship between world GDP and...