Correlates of Voter Turnout

Despite decades of research, there is no consensus as to the core correlates of national-level voter turnout. We argue that this is, in part, due to the lack of comprehensive, systematic empirical analysis. This paper conducts such an analysis. We identify 44 articles on turnout from 1986 to 2017. These articles include over 127 potential predictors of voter turnout, and we collect data on seventy of these variables. Using extreme bounds analysis, we run over 15 million regressions to determine which of these 70 variables are robustly associated with voter turnout in 579 elections in 80 democracies from 1945 to 2014. Overall, 22 variables are robustly associated with voter turnout, including compulsory voting, concurrent elections, competitive elections, inflation, previous turnout, and economic globalization.

The contribution of human capital to foreign direct investment inflows in developing countries

PurposeThis paper is about the effect of human capital on foreign direct investment (FDI). The purpose of this paper is to find out if developing countries with high levels of human capital (educated people and well-trained labour force) are more successful in attracting FDI. The underlying hypothesis has been tested repeatedly without reaching a consensus view or providing an answer to the basic question. This is to be expected because FDI is determined by a large number of factors, making the results sensitive to the selected set of explanatory variables, which forms the basis of the Leamer (1983) critique of the use of multiple regression to derive inference. Furthermore, confirmation bias and publication bias entice researchers to be selective in choosing the set of results they report.Design/methodology/approachThe technique of extreme bounds analysis, as originally suggested by Leamer (1983) and modified by Sala-i-Martin (1997), is used to determine the importance of human capital for the ability of developing countries to attract FDI. The authors use a cross-sectional sample covering 103 developing and transition countries.FindingsThe results show no contradiction between firms seeking human capital and cheap labour. No matter what proxy is used to represent human capital, it turns out that the most important factor for attracting FDI is the variable “employee compensation”, which is the wage bill, implying that multinational firms look for cheap and also skilled labour in the host country.Originality/valueIn this paper, the authors follow the procedure prescribed by Leamer (1983), and modified by Sala-i-Martin (1997), using extreme bounds analysis to distinguish between robust and fragile determinants of FDI, with particular emphasis on human capital. Instead of deriving inference from one regression equation by determining the statistical significance of the coefficient on the variable of interest, the extreme bounds or the distribution of estimated coefficients are used to distinguish between robust and fragile variables. This means that emphasis is shifted from significance, as implied by a single regression equation, to robustness, which is based on a large number of equations. The authors conduct tests on three proxies for human capital to find out if they are robust determinants of FDI and also judge the degree of robustness relative to other determinants.

Efecto de factores socio-económicos y condiciones de salud en el contagio de COVID-19 en los estados de México

<pre>El objetivo de este documento es analizar el impacto de múltiples factores demográficos, sociales, de salud y económicos en la magnitud e intensidad del contagio de SARS-CoV-2 en los estados mexicanos. Para ello se desarrolla un análisis de límites extremos (extreme-bounds analysis) en modelos de regresión de corte transversal, que pueden incluir efectos espaciales. Los resultados sugieren que una mayor densidad de población (que dificulta el distanciamiento social), el padecimiento de obesidad y/o enfermedades crónico-degenerativas (diabetes e hipertensión) y el no respeto a las disposiciones sanitarias han favorecido el contagio de COVID-19. Las condiciones sociales de la población y las características económicas de los estados no resultaron relevantes. Las implicaciones de política pública que se derivan de este resultado son directas. </pre><div> </div>

FDI determinants: dynamic extreme bounds analysis

PurposeThe aim of this paper is to develop a new analysis method, named dynamic extreme bounds analysis (DEBA), and to determine decisive determinants of foreign direct investment (FDI) by using this new method.Design/methodology/approachIn econometrics, the extreme bounds analysis (EBA) method is a convincing way of examining the strength of independent variables. However, the results obtained when using the EBA method contain little information, since each variable is only either strong or fragile, and some strong variables may be omitted because their significance could be undermined by just one unreasonable regression. Therefore, in order to overcome these limitations, this paper proposes DEBA, a new analysis method.FindingsThe authors employ the DEBA method to determine the factors which impact FDI in 86 countries. The authors note that in developing countries, the level of previous FDI, a high degree of openness, large market size and development of infrastructure help to attract FDI, whereas the development of domestic industry deters it. In developed countries, FDI is lured by the level of previous FDI stock, a high degree of openness, large market size, macroeconomic instability and availability of energy.Research limitations/implicationsAlthough this study is expected to contribute a new methodological approach and define the strong determinants of FDI, the study is not without limitations, such as the unavailability of data. Further studies should improve the DEBA method by developing DEBA packages for use in popular statistical software, enhancing methods for other types of data and more accurately determining the estimation order of variables. In addition, further research should expand the study's FDI model, providing more potential variables for an in-depth overview of this model.Originality/valueThis study is to contribute a new methodological approach (DEBA method) for data analysis and defining of strong determinants of FDI. The study findings are useful for governments, policy-makers and economists in formulating more attractive FDI policies.

Democratic breakdown and terrorism

Democracy is one of the most consistent predictors of terrorism. Yet we know little about why there is an apparent relationship between terrorism and democracy. In this article, I argue that previous democratic breakdown is a significant predictor of terrorism. While democratic civil liberties increase the opportunity to carry out terrorist attacks, they do not explain why groups are motivated to use terrorism rather than legal means for implementing change. Democratic breakdown, however, creates grievances that motivate terrorism by excluding groups with full rights of participation from the political process. Such grievances, which persist over long periods of time, will lead to high levels of terrorism once the regime re-democratizes, since the motivation for political violence is combined with the opportunities provided by democratic civil liberties. Cross-national statistical evidence from 1970 to 2007 lends strong support for this argument. It further demonstrates that only democracies that have experienced democratic breakdown experience more terrorism than autocracies. Moreover, an extreme bounds analysis indicates that previous democratic breakdown is one of the most robust predictors of terrorism and the most robust among variables conceptually related to democracy.