On Labour Market Policies and Aggregate Unemployment Outflows

This paper is interested in the modelling of the relationship between active and passive labour market policies and the aggregate unemployment outflow rate. Our model is based on a matching function and includes a simple representation of the competition between various groups of job searchers. The empirical analysis uses Belgian data. Faced with variables that are often integrated of order 1 according to the usual tests but which cannot strictly speaking be integrated, we contribute to an important methodological debate by comparing the conclusions of a classical econometric analysis and a cointegration approach.     

Inequality and Unemployment Patterns in Europe: Does Integration Lead to (Real) Convergence?

The economic convergence criteria adopted in the Maastricht Treaty and the fiscal discipline of the Stability and Growth Pact enforced nominal convergence, leaving aside real convergence indicators. In this paper, we use cluster analysis to examine the convergence patterns of income inequality, absolute redistribution (a measure of governments’ effectiveness in correcting for inequality) and unemployment. The expected outcome after years of economic integration was, ex-ante, convergence to a single cluster. Our results, however, uncover a variety of groups, implying that economic integration has not led to real economic convergence. Moreover, the existence of different patterns suggests: (i) that traditional classifications (Anglo-Saxon, Continental European, European Periphery, and Nordic models) remain broadly valid; (ii) that there is no unemployment-inequality trade-off to be exploited in terms of economic policy; and (iii) that the redistributive capacity of governments plays a pivotal role in coping with inequality without negative effects in terms of unemployment.     

Playing the synthesizer with Canadian data: Adding polls to a structural forecasting model

Election forecasting has become a fixture of election campaigns in a number of democracies. Structural modeling, the major approach to forecasting election results, relies on ‘fundamental’ economic and political variables to predict the incumbent’s vote share usually a few months in advance. Some political scientists contend that adding vote intention polls to these models—i.e., synthesizing ‘fundamental’ variables and polling information—can lead to important accuracy gains. In this paper, we look at the efficiency of different model specifications in predicting the Canadian federal elections from 1953 to 2015. We find that vote intention polls only allow modest accuracy gains late in the campaign. With this backdrop in mind, we then use different model specifications to make ex ante forecasts of the 2019 federal election. Our findings have a number of important implications for the forecasting discipline in Canada as they address the benefits of combining polls and ‘fundamental’ variables to predict election results; the efficiency of varying lag structures; and the issue of translating votes into seats.     

Exploring The Gender Effect On Europeans’ Retirement Savings

This paper investigates whether European women have the same probability of saving for retirement as European men and if driving factors for this saving behavior differ by gender. The evidence is based on a sample of 6,036 individuals from eight European countries (France, Germany, Italy, the Netherlands, Poland, Spain, Sweden, and the United Kingdom). The results show that European women are less likely to save for retirement than men, although the determinants of this decision are similar for both genders. Moreover, the results suggest that country-level institutional factors play a more important role on the individual's retirement attitudes than gender differences.     

Is China Living a Minsky Moment? Between the “Lender of Last Resort” and the Chinese Shadow Financial System

After Lehman Brothers bankruptcy in 2008, the Central Bank of China (PBOC) created a big 1.8 trillion dollars package to boost the Chinese economy. It was a necessary key measure not only to prop up the economy, but also to try to preserve the two-digit growth of the GDP that existed before the Great Recession. The financial instability of international financial circuits made necessary the involvement of the central bank. Ten years later, China’s debt explosion went up during the financial crisis, from six to twenty-eight trillion dollars between 2007 and 2016. In other words, it went up from 148 to 260 percent of GDP during the same period. The goal of this article is to analyze whether China is living a “Minsky moment” or not, and what its implications are for international financial markets.     

Special issue on advanced methods to measure tourism impacts. Editors’ introduction

Portuguese Economic Journal -     

An Alternative Post-Keynesian Framework for Understanding Capital Flows to Emerging Markets

This article contributes to the establishment of a framework for the analysis of international capital flows, with a specific focus on emerging markets. It is based on a “monetary” analysis of the economy, as well as on the works of Hyman Minsky and Jan Toporowski in particular. The key aspects of such an approach are the following. First, in a monetary economy, capital flows need to be understood as “flows of funds” that pertain to the realm of financial choices, as opposed to the traditional understanding of capital flows as based on “real” variables, such as saving and investment. A consequence of this is the need to focus on gross flows rather than capital flows. Second, liquidity preference considerations also apply at the international level, particularly in relation to the liquidity of emerging-market currencies that, in turn, depends on context-specific “Keynesian fundamentals.” Third, the rise of institutional investors is the key historical development in the financial system, shaping the current reality of cross-border capital flows, including to emerging markets. I argue that institutional investors’ liabilities, in light of the theories of Minsky and Toporowski, are one of the most important variables in determining these investors’ portfolio choices. I synthesize these elements by defining capital flows to emerging markets as the demand for emerging-market assets by institutional investors. I propose a framework to categorize the various channels that guide this demand.