What is he best known for?
The fields of study he is best known for:
His scientific interests lie mostly in Labour economics, Distribution, Wage, Efficiency wage and Econometrics.
His Labour economics study integrates concerns from other disciplines, such as Mandate, Private sector, Certification, Selection bias and Productivity.
His work on Wage inequality as part of his general Wage study is frequently connected to Literal interpretation, Structure and Differential, thereby bridging the divide between different branches of science.
His research integrates issues of Supply and demand, Minimum wage, Value and Current Population Survey in his study of Efficiency wage.
His Supply and demand research is multidisciplinary, incorporating perspectives in Industrial relations and Kernel density estimation.
He has included themes like Average treatment effect, Estimator, Statistics, Propensity score matching and Sample in his Econometrics study.
His most cited work include:
- Labor Market Institutions and the Distribution of Wages, 1973-1992: a Semiparametric Approach. (2016 citations)
- Skill‐Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles (1075 citations)
- The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too? (507 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Labour economics, Wage, Demographic economics, Distribution and Econometrics.
Efficiency wage is the focus of his Labour economics research.
His Efficiency wage research incorporates elements of Supply and demand and Minimum wage.
His work investigates the relationship between Wage and topics such as Productivity that intersect with problems in Certification and Private sector.
John DiNardo interconnects Health insurance, Community rating, Immigration, Indemnity and Adverse selection in the investigation of issues within Demographic economics.
In his research, Variance is intimately related to Statistics, which falls under the overarching field of Econometrics.
He most often published in these fields:
- Labour economics (50.42%)
- Wage (38.66%)
- Demographic economics (29.41%)
What were the highlights of his more recent work (between 2009-2021)?
- Program evaluation (5.88%)
- Computer science (7.56%)
- Regression discontinuity design (16.81%)
In recent papers he was focusing on the following fields of study:
John DiNardo spends much of his time researching Program evaluation, Computer science, Regression discontinuity design, Ex-ante and Internal validity.
His Program evaluation research focuses on Management science and how it connects with Research design.
His work carried out in the field of Regression discontinuity design brings together such families of science as Education reform and Accountability system, Accountability.
His Ex-ante research is multidisciplinary, incorporating perspectives in Randomized experiment, External validity and Set.
Mathematical economics and Econometrics are frequently intertwined in his study.
His Econometrics study combines topics in areas such as Average treatment effect, Matching, Estimator, Statistics and Sample.
Between 2009 and 2021, his most popular works were:
- New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators (202 citations)
- Wellness Incentives In The Workplace: Cost Savings Through Cost Shifting To Unhealthy Workers (119 citations)
- Natural Experiments and Quasi-Natural Experiments (67 citations)
In his most recent research, the most cited papers focused on:
John DiNardo mostly deals with Health insurance, Natural experiment, Natural, Computer science and Natural science.
John DiNardo has included themes like Current Population Survey, Demographic economics and Mandate in his Health insurance study.
He performs multidisciplinary studies into Natural experiment and Term in his work.
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