We compute confidence intervals for recursive impact factors, that take into account that some citations are more prestigious than others, as well as for the associated ranks of journals, applying the methods to the population of economics journals. The Quarterly Journal of Economics is clearly...

This study investigated the correlations of economic growth, energy consumption, and globalization in selected countries. For this purpose, the study gathered data between 1984 and 2013 from 11 countries, where a causality panel test was employed using Kónya’s (2006) approach based on the...

In this paper, we examine the herding behaviour of the Chinese renewable energy sector using both static and time-varying coefficient models. Examining daily data from January 05, 2015 to April 29, 2022, we find strong evidence of herding behaviour changing over time in this market. We find that...

Predictive regressions are widely used in empirical economics and finance to investigate the Granger causality test, linear rational expectations hypothesis test, and market efficiency hypothesis. This paper develops a new unified predictability test regardless of the properties of predictors....

This paper examines prediction of U.S. bank failure with a probit model that uses bias-corrected technical efficiency estimated using bootstrap data envelopment analysis as the measure of management quality. The model is tested on a sample of failed and non-failed banks during the sub-prime...

This paper presents a system of greenhouse gas indicators for markets and policymakers. The system is lean and informative. It condenses the relevant product and enterprise-specific information into a single number: the greenhouse gas (GHG) value. Like prices, GHG values are easy to understand,...

Meta-learning empowers artificial intelligence to increase its efficiency by learning how to learn. Unlocking this potential involves overcoming a challenging metaoptimisation problem. We propose an algorithm that tackles this problem by letting the meta-learner teach itself. The algorithm first...

This paper explore the role of institutions to enhance the productivity growth across countries using a two stage Double Bootstrap Data Envelopment Analysis (DEA). The productivity growth is calculated on the basis of Malmquist productivity index. It also explores the sources of productivity...