The purpose of this paper is to estimate the money demand function of Cagan (1956) using a panel data set covering 27 countries with different economic levels over the period 1988-98. The static fixed effects and the dynamic fixed effects reveal that a money demand equation exists. However, in...

Espasa and Mayo-Burgos (2013) provide consistent forecasts for an aggregate economic indicator and its basic components as well as for useful sub-aggregates. To do this, they develop a procedure based on single-equation models that includes the restrictions arisen from the fact that some...

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 addresses two important topics in recent economic historiography: globalization and the great divergence. We first present a search for statistical evidence in the Far East of an “Early Globalization” comparable to the one ongoing in the West since the mid-eighteenth century....

Globalization, if defined as the integration of international commodity markets, started in the eighteenth century and progressed gradually and with some setbacks into the nineteenth century, instead of suddenly appearing at some point after the 1820s. We use grain prices in Europe and the...

The study of significant deterministic seasonal patterns in financial asset returns is of high importance to academia and investors. This paper analyzes the presence of seasonal daily patterns in the VIX and S&P 500 returns series using a trigonometric specification. First, we show that, given...

In this paper we analyse the market integration process of the relative price distribution, develop a model to analyze market integration, and present a formal test of increasing market integration. We distinguish between the economic concepts of price convergence in mean and in variance. When...