International Labor Mobility,Redistribution, and Domestic Political Liberalization

Do international labor flows influence the prospects for democratization both in the countries that export their excess workers and in the countries that import them? This paper argues that emigration should have a positive effect on political liberalization in net source countries because it decreases the amount of redistribution that would occur in a more democratic regime. Conversely, immigration should have a negative effect on political liberalization in net destination countries through the same causal channel: by increasing the amount of redistribution that would occur in a more democratic regime. South Korea and Singapore are considered as illustrative examples, and the paper provides statistical evidence to support the hypothesis that emigration (immigration) has been positively (negatively) related to future political liberalization.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.     

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.     

Equality of opportunity and the expansion of higher education in the UK

Using nine waves of data from Understanding Society (UKHLS), we study the expansion of higher education in the UK and its consequences for levels of and inequalities in income, physical and mental health. University expansion was characterized by a large increase in the proportion of graduates, with higher rates of graduation among individuals from more advantaged socioeconomic backgrounds. Having controlled for birth cohort and lifecycle effects, there is evidence of significant inequality of opportunity (IOp) in the actual outcomes. However, comparing actual outcomes with counterfactual projections, that freeze the likelihood of university graduation and the joint distribution of graduation and circumstances to the pre-1963 levels, we do not detect an impact of the expansion of higher education on IOp in income and only small reductions in IOp in physical and mental health.     

Wolf in Sheep's Clothing: The Active Investment Strategies behind Index Performance

This paper argues that the commonly used market indices imply forms of active investment management in disguise. The selection and rebalancing rules make these indices highly exclusive and dynamic regarding their underlying components and significantly bias their performance. Any passive investment tracking these indices turns into an active strategy characterised by market timing and state‐dependent performance. Evidence is provided that exclusive indices outperform (underperform) more inclusive peer indices in upward (downward) markets. The constitution and maintenance rules of exclusive indices correspond to a set of active trading and investment rules similar to momentum strategies.     

Bounds analysis of competing risks: a non-parametric evaluation of the effect of unemployment benefits on migration

By reexamining the effect of unemployment benefits on reemployment probabilities we make two contributions to the literature: first, we estimate separate effects for reemployment in the local or a distant region. Second, we address the problem of incomplete duration within a competing risks model. Our results confirm that missing data problems at first preclude any meaningful result even though we have access to daily individual data on 50 % of the male workforce in Germany. When we impose additional assumptions, we obtain evidence that the treatment effect depends on the household context, the treatment intensity and the destination state.     

Natural Resource Exports,Fiscal Policy Volatility and Growth

The combination of poor institutions and erratic macroeconomic policy, as measured by the volatility of fiscal policy, is associated with slower growth. We show that macroeconomic policy is more erratic in countries that are rich in natural resources, especially minerals and fuels, and in those that receive large aid inflows. Poor institutions also play a role. Although Africa is a major receiver of aid and exporter of natural resources, this is not purely an African phenomenon. Output volatility is not associated with slower growth after controlling for institutions and the volatility of fiscal policy.     

Expectations in Austrian Business Cycle Theory: An Application of the Prisoner's Dilemma

The standard account of Austrian Business Cycle theory posits that central bank manipulations of interest rates fool bankers and investors into believing that there has been an increase in the real supply of loanable funds available for capital investment. However, reliance on foolishness ignores the entrepreneurial emphasis within the Austrian tradition and fails to produce the strongest possible case for Austrian Business Cycle theory. We use the prisoner's dilemma framework to model the profit maximizing behavior of bankers and the investors under uncertainty when the market rate of interest is below the underlying rate of time preference.