This study investigates relationship between tourism and economic growth in India by considering the relative importance of financial development over the period of 1960-2014. The results of newly-developed Bayer and Hanck combined test indicate that tourism, economic growth and financial...

This paper studies inference on fixed effects in a linear regression model estimated from network data. An important special case of our setup is the two-way regression model, which is a workhorse method in the analysis of matched data sets. Networks are typically quite sparse and it is...

We use variance decompositions from high-dimensional vector autoregressions to characterize connectedness in 19 key commodity return volatilities, 2011-2016. We study both static (full-sample) and dynamic (rolling-sample) connectedness. We summarize and visualize the results using tools from...

In this paper a dynamic relationship between the CO2 emissions in Finland, Norway and Sweden is presented. With the help of a VAR(2) model, and using the Granger terminology, it is shown that the emissions in Finland are affecting those in Norway and Sweden. Other aspects of this dynamic...

This paper provides an empirical analysis of volatility time structures in agricultural markets (sugar, wheat, soybeans and coffee) for a time period from 2008 to 2016. The time period covers at least three food crises which make the analysis interesting for both researches and policy makers. In...

This study investigates relationship between tourism and economic growth in India by considering the relative importance of financial development over the period of 1960-2014. The results of newly-developed Bayer and Hanck combined test indicate that tourism, economic growth and financial...