Alike most of the Western world, the Danish fertility rate declined throughout the 20th century simultaneous to economic growth. This development, which conflicts with economic intuition, has been denoted the fertility paradox, and several studies have been devoted to resolve it. The present...

The ability to adjust to structural change is vital to economic development, and entries can be active participants in this process. This paper aims to shed some light on the relation between entrepreneurship and growth by arguing that entrepreneurial activity relates to growth via reallocation...

The aim of this paper is to analyze entrepreneurial activity in OECD countries over the period 1999-2012 in order to make a distinction between economies that are more or less entrepreneurial. A combined use of multidimensional and evolutive data analysis methods is used with variables...

Economic growth driven by a broad spectrum of factors is essential to long-term, sustainable development. From this perspective the paper approaches the economic growth of rural areas in Romania in light of the Europe 2020 Strategy, in order to identify specific indicators and national targets....

Today more than half of the 7 billion inhabitants of the planet live in urban areas, with this share expected to keep rising. Whereas in developed countries urbanisation has been a long and slow process, in developing countries this process is now characterised by a really fast pace and a high...

We represent the dynamic relation among variables in vector autoregressive (VAR) models as directed graphs. Based on these graphs, we identify so-called strongly connected components (SCCs). Using this graphical representation, we consider the problem of variable selection. We use the relations...

It is well known that the conventional CUSUM test suffers from low power and large detection delay. We therefore propose two alternative detector statistics. The backward CUSUM detector sequentially cumulates the recursive residuals in reverse chronological order, whereas the stacked backward...

This paper investigates how the ordering of variables affects properties of the time-varying covariance matrix in the Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are imposed when the ratio of volatilities is time-varying....

In proxy vector autoregressive models, the structural shocks of interest are identified by an instrument. Although heteroskedasticity is occasionally allowed for in inference, it is typically taken for granted that the impact effects of the structural shocks are time-invariant despite the change...