This paper presents a method to improve the one-step-ahead forecasts of the Spanish unemployment monthly series. To do so, we use numerous potential explanatory variables extracted from searches in Google (GoogleTrends tool).Two different dimension reduction techniques are implemented (PCA and...

This paper presents a method to improve the one-step-ahead forecasts of the Spanish unemployment monthly series. To do so, we use numerous potential explanatory variables extracted from searches in Google (GoogleTrends tool).Two different dimension reduction techniques are implemented (PCA and...

We use a novel dataset on more than 35,000 eBay auctions for electronics to analyse Covid19-induced lockdown effects. The dataset covers pre- and lockdown periods and, for each auction, contains both auction settings fixed by the seller and the whole bidding record. The interplay of agents...

This paper extends our previous work on grain market integration across Europe and the Americas in the eighteenth and nineteenth centuries (Dobado, García-Hiernaux and Guerrero, 2012). By using the same econometric methodology, we now present: 1) a search for statistical evidence in the East of...

This paper discusses how to determine the order of a state-space model. To do so, we start by revising existing approaches and find in them three basic shortcomings: i) some of them have a poor performance in short samples, ii) most of them are not robust and iii) none of them can accommodate...

Fixed coecients State-Space and VARMAX models are equivalent, meaning that they are able to represent the same linear dynamics, being indistinguishable in terms of overall fit. However, each representation can be specifically adequate for certain uses, so it is relevant to be able to choose...