What is he best known for?
The fields of study he is best known for:
- Statistics
- Law
- Microeconomics
His main research concerns Econometrics, Labour economics, Business economics, Panel data and Statistics.
His work deals with themes such as Engel curve, Estimator, Estimation and Labour supply, which intersect with Econometrics.
Data modeling, Predetermined variables and Generalized method of moments is closely connected to Monte Carlo method in his research, which is encompassed under the umbrella topic of Estimator.
His study in Labour economics is interdisciplinary in nature, drawing from both Earnings, Tax credit, Inequality and Unemployment.
His Panel data research is multidisciplinary, relying on both Competition, Product market, Aggregate productivity and Economic model.
His work on Regression, Instrumental variable, Consistent estimator and Score test as part of general Statistics research is often related to Large sample, thus linking different fields of science.
His most cited work include:
- Initial conditions and moment restrictions in dynamic panel data models (12680 citations)
- Competition and Innovation: an Inverted-U Relationship (2174 citations)
- GMM Estimation with persistent panel data: an application to production functions (1408 citations)
What are the main themes of his work throughout his whole career to date?
Richard Blundell mostly deals with Labour economics, Econometrics, Consumption, Labour supply and Demographic economics.
His biological study spans a wide range of topics, including Incentive, Earnings, Tax credit and Unemployment.
He has included themes like Estimator and Estimation in his Econometrics study.
His Estimation research is multidisciplinary, incorporating elements of Unitary state and Identification.
His Consumption research includes themes of Microeconomics, Asset and Inequality.
The concepts of his Labour supply study are interwoven with issues in Welfare and Human capital.
He most often published in these fields:
- Labour economics (28.26%)
- Econometrics (26.09%)
- Consumption (17.06%)
What were the highlights of his more recent work (between 2014-2021)?
- Labour economics (28.26%)
- Demographic economics (13.38%)
- Consumption (17.06%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Labour economics, Demographic economics, Consumption, Econometrics and Inequality.
Richard Blundell combines subjects such as Government, Tax reform and Human capital with his study of Labour economics.
His studies deal with areas such as Economic growth, Receipt, Disability benefits, Earnings and Drawdown as well as Demographic economics.
His Consumption research incorporates themes from Spite, Panel data, Shock and Time allocation.
Richard Blundell works mostly in the field of Econometrics, limiting it down to topics relating to Estimation and, in certain cases, Demand curve.
His study in the fields of Economic inequality under the domain of Inequality overlaps with other disciplines such as Replication.
Between 2014 and 2021, his most popular works were:
- Consumption inequality and family labor supply (122 citations)
- COVID-19 and Inequalities. (98 citations)
- FEMALE LABOUR SUPPLY, HUMAN CAPITAL AND WELFARE REFORM (85 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Law
- Microeconomics
Richard Blundell mainly focuses on Labour economics, Inequality, Econometrics, Consumption and Panel data.
His Wage study in the realm of Labour economics connects with subjects such as Affect.
His biological study deals with issues like Life course approach, which deal with fields such as Human capital.
His studies in Econometrics integrate themes in fields like Measure and Contrast.
His Consumption research integrates issues from Spite, Quantile and Time allocation.
His research integrates issues of Asset and Shock in his study of Panel data.
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