What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Finance
- Macroeconomics
His primary areas of investigation include Microeconomics, Econometrics, Electricity market, Gasoline and Financial modeling.
His research investigates the connection with Microeconomics and areas like Electric power industry which intersect with concerns in Incentive.
Christopher R. Knittel has included themes like Optimization algorithm, Variation and Mathematical economics in his Econometrics study.
His research integrates issues of Market power, Marginal cost and Perfect competition in his study of Electricity market.
He focuses mostly in the field of Gasoline, narrowing it down to topics relating to Price elasticity of demand and, in certain cases, Consumer behaviour and Order.
Christopher R. Knittel has researched Financial modeling in several fields, including Volatility, Price level and Statistical model.
His most cited work include:
- Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand (391 citations)
- An empirical examination of restructured electricity prices (334 citations)
- An empirical examination of restructured electricity prices (334 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Natural resource economics, Microeconomics, Gasoline, Econometrics and Industrial organization.
The study incorporates disciplines such as Low-carbon fuel standard, Emissions trading and Externality in addition to Natural resource economics.
His Microeconomics research is multidisciplinary, incorporating elements of Restructuring, Electric power industry and Welfare.
His research in Gasoline intersects with topics in Consumer behaviour, Monetary economics, Short run, Fuel efficiency and Consumption.
His study focuses on the intersection of Econometrics and fields such as Multilevel model with connections in the field of Estimation.
Christopher R. Knittel interconnects Electricity market and Distribution in the investigation of issues within Industrial organization.
He most often published in these fields:
- Natural resource economics (25.09%)
- Microeconomics (22.97%)
- Gasoline (19.79%)
What were the highlights of his more recent work (between 2018-2021)?
- Environmental economics (8.83%)
- Econometrics (17.67%)
- Welfare (17.31%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Environmental economics, Econometrics, Welfare, Download and Distribution.
His work deals with themes such as Consumption and Gasoline, which intersect with Econometrics.
His Consumption research includes themes of Panel data and Operations management.
His Welfare study combines topics in areas such as Economic indicator, Carbon footprint and Travel time.
His Download study overlaps with Fuel efficiency, Payment, Econometric model, Credit score and Machine learning.
His Distribution study integrates concerns from other disciplines, such as Distributed generation, Marginal cost and Economic efficiency.
Between 2018 and 2021, his most popular works were:
- The Short-run and Long-run Effects of Covid-19 on Energy and the Environment (57 citations)
- The Local Economic and Welfare Consequences of Hydraulic Fracturing (21 citations)
- The Local Economic and Welfare Consequences of Hydraulic Fracturing (21 citations)
In his most recent research, the most cited papers focused on:
- Microeconomics
- Finance
- Macroeconomics
Economy, Welfare, Consumption, Distribution and Econometrics are his primary areas of study.
His Economy research is multidisciplinary, incorporating perspectives in Perfect information and Carbon tax.
His Welfare research incorporates elements of Economic indicator, Fossil fuel, Natural resource economics and Travel time.
His Consumption research integrates issues from Value and Operations management.
His biological study spans a wide range of topics, including Marginal cost, Distributed generation and Economic efficiency.
His study in Econometrics is interdisciplinary in nature, drawing from both Monetary policy and Dynamic stochastic general equilibrium.
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