Economic policy uncertainty in the US: Does it matter for the Euro area?

We investigate the effects of a US economic policy uncertainty shock on some Euro area macroeconomic aggregates via Structural VARs. We model the indicators of economic policy uncertainty recently developed by  Baker et al. (2013) jointly with the aggregate price indexes and alternative indicators of the business cycle for the two above indicated economic areas. According to our SVARs, a one standard deviation shock to US economic policy uncertainty leads to a statistically significant fall in the European industrial production and prices of −0.12% and −0.06%, respectively. The contribution of the US uncertainty shock on the European aggregates is shown to be quantitatively larger than the one exerted by an Euro area-specific uncertainty shock.     

Testing for structural stability of factor augmented forecasting models

Mild factor loading instability, particularly if sufficiently independent across the different constituent variables, does not affect the estimation of the number of factors, nor subsequent estimation of the factors themselves (see e.g.  Stock and Watson (2009)). This result does not hold in the presence of large common breaks in the factor loadings, however. In this case, information criteria overestimate the number of breaks. Additionally, estimated factors are no longer consistent estimators of “true” factors. Hence, various recent research papers in the diffusion index literature focus on testing the constancy of factor loadings. However, forecast failure of factor augmented models can be due to either factor loading instability, regression coefficient instability, or both. To address this issue, we develop a test for the joint hypothesis of structural stability of both factor loadings and factor augmented forecasting model regression coefficients. Our proposed test statistic has a chi-squared limiting distribution, and we are able to establish the first order validity of (block) bootstrap critical values. Empirical evidence is also presented for 11 US macroeconomic indicators.     

What do women want? Female suffrage and the size of government

The economic literature has attributed part of the increase in government expenditure over the 20th century to female voting. This is puzzling, considering that the political science literature has documented that women tended to be more conservative than men over the first half of the 20th century. We argue that the current estimates of this relationship are afflicted by endogeneity bias. Using data for 46 countries and a novel set of instruments related to the diffusion of female suffrage across the globe, we find that, on average, the introduction of female suffrage did not increase either social expenditures or total government expenditure.     

Public service motivation and public sector employment preference: Comparing Italian and British students

ABSTRACT

Previous research has suggested that an individual’s public service motivation (PSM) is positively linked to a preference for public sector employment. The authors explore this link using a sample of British and Italian undergraduate students. They found a positive relationship between PSM and public sector job preferences among Italian students but not with the British students. The UK has implemented more NPM-style reforms than Italy and this could be impacting on public sector recruitment. Implications for recruitment and retention the public sector are discussed.     

Financial constraints and the growth and survival of innovative start-ups: An analysis of Italian firms

We study the impact of measures devoted to relieving financial constraints for the growth and survival of Italian innovative start-ups. Using balance sheet data on innovative start-ups and information on the use of the Italian Central Guarantee Fund for small and medium-sized enterprises, we evaluate whether access to the fund, relieving financial constraints, helps innovative start-ups survive and grow. We find innovative start-ups benefit significantly more than similar control firms. We shed light on the relevance of policies aimed at reducing financial constraints for the growth and survival of innovative start-ups, an issue receiving increasing attention at the European level.     

Bootstrap refinements for QML estimators of the GARCH(1,1) parameters

This paper reconsiders a block bootstrap procedure for Quasi Maximum Likelihood estimation of GARCH models, based on the resampling of the likelihood function, as proposed by Gonçalves and White [2004. Maximum likelihood and the bootstrap for nonlinear dynamic models. Journal of Econometrics 119, 199–219]. First, we provide necessary conditions and sufficient conditions, in terms of moments of the innovation process, for the existence of the Edgeworth expansion of the GARCH(1,1) estimator, up to the k$k$-th term. Second, we provide sufficient conditions for higher order refinements for equally tailed and symmetric test statistics. In particular, the bootstrap estimator based on resampling the likelihood has the same higher order improvements in terms of error in the rejection probabilities as those in Andrews [2002. Higher-order improvements of a computationally attractive k$k$-step bootstrap for extremum estimators. Econometrica 70, 119–162].     

International market links and volatility transmission

This paper gauges volatility transmission between stock markets by testing conditional independence of their volatility measures. In particular, we check whether the conditional density of the volatility changes if we further condition on the volatility of another market. We employ nonparametric methods to estimate the conditional densities and model-free realized measures of volatility, allowing for both microstructure noise and jumps. We establish the asymptotic normality of the test statistic as well as the first-order validity of the bootstrap analog. Finally, we uncover significant volatility spillovers between the stock markets in China, Japan, UK and US.     

Mean–variance dominant trading strategies

The paper examines the relative importance of ten anomaly-based trading strategies. We employ Mean Variance spanning methodologies in a classical unconditional setting and a novel conditional setting. Fixed-weight optimal portfolios stemming from the unconditional methodology indicate that all the strategies are needed to enhance the mean–variance tradeoff. This conclusion is completely reversed when we allow for time-varying portfolio weights as a nonlinear function of lagged economic indicators. The overall results suggest that diversified anomaly-based holdings are of limited benefit to sophisticated investors who employ dynamic trading strategies.