Suchergebnisse

A two-regime self-exciting threshold autoregressive process is estimated for quarterly aggregate GDP of the fifteen countries that compose the European Union, and the forecasts from this nonlinear model are compared, by means of a Monte Carlo simulation, with those from a simple autoregressive model, whose lag length is chosen to minimize Akaike's AIC criterion. The results are very negative for the SETAR model when the Monte Carlo procedure is used to generate multi-step forecasts. When the naive procedure of generating forecasts is used, the results are surprisingly better for the SETAR model in long-term predictions. Due to the characteristics of the residuals, a bootstrapping method of forecasting was also used, yielding even poorer results for the nonlinear model.

We address empirically the factors affecting the dynamics of income inequality among industrialized economies. Using a panel for 32 developed countries spanning the last four decades, our results indicate that the predictions of the Stolper-Samuelson theorem concerning the effects of international trade on income inequality find support in the data if we concentrate on imports from developing countries as a trade measure, as theory would imply. We find that democratization, the interaction of technology and education, and changes in the relative power of labor unions affect inequality dynamics robustly.

We address empirically the factors affecting the dynamics of income inequality among industrialized economies. Using a panel for 32 developed countries spanning the last four decades, our results indicate that the predictions of the Stolper-Samuelson theorem concerning the effects of international trade on income inequality find support in the data if we concentrate on imports from developing countries as a trade measure, as theory would imply. We find that democratization, the interaction of technology and education, and changes in the relative power of labor unions affect inequality dynamics robustly.

This article reassesses the impact of inflation on long-term growth for a panel of 14 European Union countries in the years prior to monetary unification. While previous research mostly focuses on a linear nexus or allows for a piecewise linear relationship with a single threshold, this study takes account of a more complex relationship. The empirical estimates for the full EU sample confirm the hypothesis that the relationship between inflation and growth is positive for very low inflation rates (that is, below an estimate of 1.6 per cent), insignificant thereafter and negative for high, two-digit inflation levels. The estimate of the inflation level that divides the insignificant from the negative effect is found to be higher in the group of traditional cohesion countries than for the rest of the sample. Adapted from the source document.

AbstractWe use Bayesian model averaging techniques to assess the role of different types of structural and institutional variables and their interaction with specific characteristics of the economy, as determinants of employment dynamics for 30 economies in Europe and Central Asia. We find that, once short‐run dynamics are controlled for, common structural determinants for the employment rate emerge, including tax rates, human capital, availability of technology, labour market regulation and trade openness. The results show that the effect of labour market regulation on employment outcomes is affected by other characteristics, such as trade openness. Focusing on the trade–labour link, we find that labour market reforms toward a more flexible labour market have a positive impact on employment ratios, and this effect is stronger for economies characterised by relatively low level of trade barriers. In addition, the positive employment effects from labour market regulation reforms are stronger; the less flexible is the initial labour market regulatory framework. These findings bring important policy insights related to the employment potential of further structural reforms and trade integration for the countries in the region.

AbstractWe analyse the nature of robust determinants of differences in democracy levels across countries taking explicitly into account uncertainty in the choice of covariates and spatial spillovers. We make use of recent developments in Bayesian model averaging to assess the effect of a large number of potential factors affecting democratisation processes and account for several specifications of spatial linkages. Our results indicate that spatial spillovers are present in the data even after controlling for a large number of geographical covariates. Addressing the determinants of democracy without modelling such spillovers may lead to flawed inference about the nature of the determinants of democratisation processes. In particular, our results emphasise the role played by Muslim religion, population size, trade volumes, English language, natural resource rents, GDP per capita, being a MENA country and the incidence of armed conflicts as factors affecting democracy robustly.

The current and projected low fertility levels for Europe and the continuous increases in life expectancy imply that the region will go through an unprecedented process of population aging, leading to sizeable changes in the age structure of European societies. After reviewing the existing literature on the role played by demographic change as a determinant of economic growth and income convergence, with a focus on the European experience, we analyze the quantitative impact of the projected changes in the age and education composition of the labor force. Using newly available demographic projections, we show that the current demographic trends are expected to cause a slowdown in the speed of income convergence across European countries. Our projection exercise suggests that policies aimed exclusively at improving labor force participation do not appear to be sufficient to counteract the negative effects of aging on income convergence. Instead, we show that reducing the educational attainment gap between Central and Eastern European member states and the rest of the European Union in addition to increasing labor force participation leads to an accelerated pace of income convergence.

Theoretical models do not reach an unambiguous conclusion concerning the effects of natural resource endowment on the duration of dictatorial regimes. We assess empirically, for the first time, the relationship between oil endowment and the duration of autocratic leaders. Using a dataset comprising information for 106 dictators, our empirical analysis indicates that dictators in countries which are relatively better endowed in terms of oil tend to stay longer in office. The result is robust to changes in the definition of dictatorial regimes and in the specifications used in the econometric analysis. Adapted from the source document.

This paper studies empirically the relationship between oil endowment and the duration of autocratic leaders. A simple theoretical setting shows how the relationship between oil endowment and the duration of the dictatorial regime is mediated by the price of oil. Using a dataset on 106 dictators, our empirical analysis supports the predictions of the theoretical model and indicates that dictators in countries which are relatively better endowed in terms of oil stay longer in office. This result is robust to changes in the definition of dictatorial regimes, as well as to controlling for other economic and political variables.