What is he best known for?
The fields of study he is best known for:
- Statistics
- Management
- Unemployment
His primary areas of study are Econometrics, Matching, Statistics, Propensity score matching and Estimator.
He interconnects Control, Actuarial science and Social experiment in the investigation of issues within Econometrics.
His study on Matching also encompasses disciplines like
- Experimental data which is related to area like Program evaluation,
- Selection bias that intertwine with fields like Observational study.
His work on Regression analysis, National Longitudinal Surveys, Standard error and Point estimation as part of general Statistics study is frequently linked to Survey sampling, therefore connecting diverse disciplines of science.
His Propensity score matching study combines topics in areas such as Data quality, Regression and Variables.
His Estimator research includes themes of Proxy and Wage.
His most cited work include:
- The Economics and Econometrics of Active Labor Market Programs (2337 citations)
- Does matching overcome LaLonde's critique of nonexperimental estimators? (2091 citations)
- Characterizing selection bias using experimental data (1796 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Matching, Program evaluation, Econometrics, Actuarial science and Earnings.
His Matching research includes elements of Experimental data, General partnership, Estimator, Propensity score matching and Estimation.
Jeffrey A. Smith studied Program evaluation and Receipt that intersect with Sample and Matching methods.
His Econometrics research incorporates elements of Conditional cash transfer and Statistics, Randomized experiment, Selection bias, Social experiment.
His study looks at the relationship between Actuarial science and fields such as Identification, as well as how they intersect with chemical problems.
His Earnings research is multidisciplinary, incorporating elements of Quality, Job training, Demographic economics and Unemployment.
He most often published in these fields:
- Matching (35.80%)
- Program evaluation (29.55%)
- Econometrics (26.14%)
What were the highlights of his more recent work (between 2011-2021)?
- Earnings (25.57%)
- Demographic economics (14.77%)
- Program evaluation (29.55%)
In recent papers he was focusing on the following fields of study:
Jeffrey A. Smith mainly focuses on Earnings, Demographic economics, Program evaluation, Investment and Quality.
His work focuses on many connections between Program evaluation and other disciplines, such as Unemployment, that overlap with his field of interest in Value.
While the research belongs to areas of Investment, Jeffrey A. Smith spends his time largely on the problem of Workforce, intersecting his research to questions surrounding Public relations, General partnership and Social experiment.
His Social experiment research integrates issues from Randomized experiment, Experimental data, Econometrics and Measure.
His Quality research also works with subjects such as
- Affect and related Student aid, Higher education, National Longitudinal Surveys and Cohort,
- Medical education and related Service design.
His Matching study incorporates themes from Actuarial science and Identification.
Between 2011 and 2021, his most popular works were:
- Determinants of the Match between Student Ability and College Quality (49 citations)
- The Determinants of Mismatch Between Students and Colleges (41 citations)
- New Evidence on the Persistence of Health Spending (20 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Management
- Unemployment
His primary areas of investigation include Quality, Identification, Psychological intervention, Estimation and Causal effect.
His Quality research is multidisciplinary, incorporating perspectives in Affect, Constraint, Medical education, Mathematics education and College application.
The various areas that he examines in his Identification study include Panel Study of Income Dynamics and Labour economics.
His biological study spans a wide range of topics, including Wage and Management science.
In Earnings, Jeffrey A. Smith works on issues like Experimental data, which are connected to Econometrics.
His work carried out in the field of Econometrics brings together such families of science as Test and Self-Sufficiency Project.
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