In the first meta-study on the finance-growth nexus, we bridge the gap between Schumpeterian authors and sympathizers of Andersen & Tarp (2003). Over 20 fundamental characteristics that have influenced the debate over the last decades are examined. The empirical evidence is based on 196 outcomes...

Abstract: This paper applies meta- regression analysis to the empirical literature that examines the impact of international market integration on capital taxation. The main objective is to explore whether particular data, model specification and estimation procedures exert systematic impact on...

Meta analysis is conducted to review 32 empirical studies with 169 estimates to find the combined overall effect of military expenditure on economic growth. Using a meta fixed and random effects and regression analysis, our results show that there exists a "genuine" net effect of military...

Purpose – In a meta-study, we have bridged the gap between the pros and cons of a questionable finance-growth nexus. Design/methodology/approach – Over 20 fundamental characteristics that have influenced the debate over the last decades have been examined. The empirical evidence is based on...

We propose a sound approach to bandwidth selection in nonparametric kernel testing. The main idea is to find an Edgeworth expansion of the asymptotic distribution of the test concerned. Due to the involvement of a kernel bandwidth in the leading term of the Edgeworth expansion, we are able to...

This is pre-print of a book review of a graduate econometrics textbook entitled "Statistical Foundations for Econometric Techniques," by Asad Zaman. Four parts of the book cover estimation, testing, asymptotics (first and higher order), and empirical Bayes methods for regression models. Emphasis...

We consider testing the null hypothesis of no spatial autocorrelation against the alternative of first order spatial autoregression. A Wald test statistic has good first order asymptotic properties, but these may not be relevant in small or moderate-sized samples, especially as (depending on...

We establish the strong consistency and asymptotic normality of the quasi-maximum likelihood estimator of the parameters of a class of multivariate GARCH processes. The conditions are mild and coincide with the minimal ones in the univariate case. In particular, contrary to the current...

We introduce the notion of continuously invertible volatility models that relies on some Lyapunov condition and some regularity condition. We show that it is almost equivalent to the volatilities forecasting efficiency of the parametric inference approach based on the Stochastic Recurrence...

The aim of this work is to investigate the asymptotic properties of weighted least squares (WLS) estimation for causal and invertible periodic autoregressive moving average (PARMA) models with uncorrelated but dependent errors. Under mild assumptions, it is shown that the WLS estimators of PARMA...