Education and the Shadow Economy: A Panel Cointegration Analysis
ABSTRACT This study examines the impact of education on the shadow economy across 132 countries over the period 1991–2020. To this end, panel cointegration and panel error‐correction models are employed. The results of the panel cointegration tests indicate a stable long‐term relationship among the selected variables.
Salvatore Ciucci
wiley +1 more source
Advancing low-carbon economies in the Persian Gulf: the role of clean energy, industry 4.0, and fintech. [PDF]
Li Z, Tian G, Ayub B, Khan ST.
europepmc +1 more source
Forecasting Climate Change Using a Multivariate Cointegrated System
ABSTRACT A cointegrated vector equilibrium correction model of key climate variables including sea surface temperature, ocean heat content, Arctic sea‐ice extent and sea‐level change is built, driven by radiative forcing in which a stochastic trend arises due to anthropogenic emissions of greenhouse gases.
Jennifer L. Castle +3 more
wiley +1 more source
Do CO<sub>2</sub> emissions, per capita GDP, public and private health expenditures matter for the health of older adults: empirical evidence from the E7 countries. [PDF]
Köroğlu MA +3 more
europepmc +1 more source
Inference on the Attractor Space via Functional Approximation
ABSTRACT This paper discusses semiparametric inference on hypotheses on the cointegration and the attractor spaces for I(1)$$ I(1) $$ linear processes with moderately large cross‐sectional dimension. The approach is based on sample canonical correlations and functional approximation of Brownian motions, and it can be applied both to the whole system ...
Massimo Franchi, Paolo Paruolo
wiley +1 more source
Dynamic links between economic complexity, technological innovation, structural transformation and energy sustainability in newly industrializing countries. [PDF]
Zirui Y, Mao J, Li Y.
europepmc +1 more source
Heteroskedastic Structural Vector Autoregressions Identified via Long‐Run Restrictions
ABSTRACT A central assumption for identifying structural shocks in vector autoregressive (VAR) models via heteroskedasticity is the time‐invariance of the impact effects of the shocks. It is shown how that assumption can be tested when long‐run restrictions based on the cointegration structure of the variables are available for identifying structural ...
Martin Bruns, Helmut Lütkepohl
wiley +1 more source
Financial investments in AI-based technologies and carbon footprint in selected advanced industrial economies. [PDF]
Konat G, Salihoğlu E, Han A.
europepmc +1 more source
What Are The Drivers of Labor Productivity in Italy?
ABSTRACT This paper introduces a novel sign restriction identification within a structural Bayesian vector autoregression (VAR) to analyse how labour productivity responds to supply and demand shocks and to quantify the contribution of shocks to cyclical fluctuations.
Josué Diwambuena, Francesco Ravazzolo
wiley +1 more source

