What is he best known for?
The fields of study he is best known for:
- Macroeconomics
- Statistics
- Finance
The scientist’s investigation covers issues in Econometrics, Cointegration, Real gross domestic product, Granger causality and Error correction model.
In general Econometrics study, his work on Panel data, Kuznets curve, Unit root and Autoregressive conditional heteroskedasticity often relates to the realm of Energy conservation, thereby connecting several areas of interest.
The various areas that he examines in his Cointegration study include Consumption, Macroeconomics, Gross fixed capital formation and International economics.
His Real gross domestic product research integrates issues from Per capita and Renewable energy consumption.
His research investigates the connection between Granger causality and topics such as Income distribution that intersect with problems in Personal income and Economic inequality.
His Error correction model research is multidisciplinary, incorporating elements of Econometric model and Energy economics.
His most cited work include:
- Renewable energy consumption and economic growth: Evidence from a panel of OECD countries (608 citations)
- CO2 emissions, energy usage, and output in Central America (484 citations)
- Energy consumption and economic growth in Central America: Evidence from a panel cointegration and error correction model (458 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Econometrics, Monetary economics, Cointegration, Macroeconomics and Panel data.
His Econometrics research focuses on Per capita and how it connects with Convergence.
His study looks at the relationship between Monetary economics and fields such as Volatility, as well as how they intersect with chemical problems.
His Cointegration research is multidisciplinary, relying on both Real gross domestic product, Granger causality and Gross fixed capital formation.
Many of his studies on Macroeconomics apply to Unit root as well.
His work carried out in the field of Panel data brings together such families of science as Economic inequality and Foreign direct investment.
He most often published in these fields:
- Econometrics (31.73%)
- Monetary economics (32.28%)
- Cointegration (24.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Econometrics (31.73%)
- Monetary economics (32.28%)
- Panel data (19.29%)
In recent papers he was focusing on the following fields of study:
Nicholas Apergis spends much of his time researching Econometrics, Monetary economics, Panel data, Volatility and Per capita.
Many of his research projects under Econometrics are closely connected to Mains electricity with Mains electricity, tying the diverse disciplines of science together.
Nicholas Apergis combines subjects such as Loan, Consumption, Financial crisis and Debt with his study of Monetary economics.
Nicholas Apergis works mostly in the field of Financial crisis, limiting it down to topics relating to Financial market and, in certain cases, Equity.
His Panel data research incorporates elements of Cointegration, Profitability index, Sample, Economic inequality and Corruption.
His Per capita study frequently links to adjacent areas such as Convergence.
Between 2017 and 2021, his most popular works were:
- Does renewable energy consumption and health expenditures decrease carbon dioxide emissions? Evidence for sub-Saharan Africa countries. (71 citations)
- Does convergence really matter for the environment? An application based on club convergence and on the ecological footprint concept for the EU countries (67 citations)
- Can the COVID-19 pandemic and oil prices drive the US Partisan Conflict Index? (62 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Finance
- Macroeconomics
His primary areas of investigation include Panel data, Monetary economics, Econometrics, Per capita and Volatility.
His research in Panel data intersects with topics in Macroeconomics, Environmental economics, Cointegration and Corruption.
Production is closely connected to Order in his research, which is encompassed under the umbrella topic of Macroeconomics.
His work on Oil price as part of general Monetary economics research is frequently linked to Operational costs, bridging the gap between disciplines.
The concepts of his Econometrics study are interwoven with issues in Great Depression, Electricity market and Distribution.
His Health care research includes themes of Real gross domestic product, Natural resource economics and Granger causality.
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