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...

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...

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...

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 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 paper develops a systematic procedure of statistical inference for the ARMA model with unspecified and heavy-tailed heteroscedastic noises. We first investigate the least absolute deviation estimator (LADE) and the self-weighted LADE for the model. Both estimators are shown to be strongly...

The transition density of a diffusion process does not admit an explicit expression in general, which prevents the full maximum likelihood estimation (MLE) based on discretely observed sample paths. Aït-Sahalia [J. Finance 54 (1999) 1361–1395; Econometrica 70 (2002) 223–262] proposed asymptotic...

GARCH (1,1) models are widely used for modelling processes with time varying volatility. These include financial time series, which can be particularly heavy tailed. In this paper, we propose a log-transform-based least squares estimator (LSE) for the GARCH (1,1) model. The asymptotic properties...