What is he best known for?
The fields of study he is best known for:
- Macroeconomics
- Microeconomics
- Inflation
His primary areas of investigation include Business cycle, Labour economics, Keynesian economics, Recession and Shock.
His research in Business cycle intersects with topics in Microeconomics, Investment, Industrial organization and Monetary economics.
His Investment research is multidisciplinary, incorporating perspectives in Productivity, Production and Short run.
His work in the fields of Labour economics, such as Wage, overlaps with other areas such as Elementary cognitive task.
His Keynesian economics study combines topics from a wide range of disciplines, such as Technological change, Capital and General equilibrium theory.
His multidisciplinary approach integrates Shock and Persistence in his work.
His most cited work include:
- Stock Prices, News, and Economic Fluctuations (457 citations)
- The Effect of Implicit Contracts on the Movement of Wages Over the Business Cycle: Evidence from Micro Data (454 citations)
- Do recessions permanently change output (392 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Business cycle, Labour economics, Investment, Wage and Microeconomics.
His Business cycle study is concerned with the larger field of Keynesian economics.
His Keynesian economics study incorporates themes from Capital and General equilibrium theory.
The Labour economics study which covers Technological change that intersects with Production.
He has included themes like Consumption, Monetary economics, Interest rate and Distribution in his Investment study.
His research investigates the connection with Wage and areas like Demographic economics which intersect with concerns in Productivity, Earnings and Statistical dispersion.
He most often published in these fields:
- Business cycle (48.15%)
- Labour economics (39.35%)
- Investment (23.15%)
What were the highlights of his more recent work (between 2013-2020)?
- Business cycle (48.15%)
- Econometrics (18.06%)
- Recession (23.15%)
In recent papers he was focusing on the following fields of study:
Paul Beaudry mainly investigates Business cycle, Econometrics, Recession, Keynesian economics and Unemployment.
In Business cycle, Paul Beaudry works on issues like Investment goods, which are connected to Price level.
His Econometrics research is multidisciplinary, incorporating elements of Phillips curve and Interest rate.
Paul Beaudry studied Recession and Instrumental variable that intersect with Economic forecasting.
He combines topics linked to Capital with his work on Keynesian economics.
Paul Beaudry combines subjects such as Expected utility hypothesis and Microeconomics, Bilateral monopoly with his study of Unemployment.
Between 2013 and 2020, his most popular works were:
- The Great Reversal in the Demand for Skill and Cognitive Tasks (142 citations)
- News Driven Business Cycles: Insights and Challenges (114 citations)
- Do Male-Female Wage Differentials Reflect Differences in the Return to Skill? Cross-City Evidence From 1980-2000 (37 citations)
In his most recent research, the most cited papers focused on:
- Macroeconomics
- Microeconomics
- Inflation
His main research concerns Business cycle, Econometrics, Keynesian economics, Unemployment and Identification.
Business cycle is a subfield of Macroeconomics that Paul Beaudry tackles.
His biological study spans a wide range of topics, including Minimum wage, Labor demand, Entrepreneurship and Externality.
In general Keynesian economics study, his work on Stimulus, Recession and Fiscal policy often relates to the realm of Government spending, thereby connecting several areas of interest.
His work on Wage bargaining as part of general Unemployment study is frequently connected to Limit cycle, Spatial equilibrium and Baseline model, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His study in the fields of Capital good under the domain of Capital overlaps with other disciplines such as Download.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
