What is she best known for?
The fields of study she is best known for:
- Statistics
- Law
- Econometrics
Her scientific interests lie mostly in Econometrics, Matching, Statistics, Estimator and Propensity score matching.
Her research integrates issues of Earnings, Actuarial science, Internal rate of return and Rate of return in her study of Econometrics.
The concepts of her Matching study are interwoven with issues in Experimental data and Selection bias.
Her work deals with themes such as Observational study and Rubin causal model, which intersect with Selection bias.
Many of her research projects under Statistics are closely connected to Wald test with Wald test, tying the diverse disciplines of science together.
Petra E. Todd has included themes like Nonparametric statistics and Regression discontinuity design in her Estimator study.
Her most cited work include:
- Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme (3627 citations)
- Matching As An Econometric Evaluation Estimator (2653 citations)
- Does matching overcome LaLonde's critique of nonexperimental estimators? (2091 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Econometrics, Earnings, Nonparametric statistics, Test and Matching.
Her studies deal with areas such as Estimator, Subsidy, Parametric statistics and Actuarial science as well as Econometrics.
Her Earnings research is multidisciplinary, incorporating perspectives in Panel data, Rate of return, Human capital, Labour economics and Empirical research.
Her work investigates the relationship between Rate of return and topics such as Internal rate of return that intersect with problems in Policy analysis.
Her Test study incorporates themes from Production, Production function, Endogeneity, Racial bias and Prejudice.
The study incorporates disciplines such as Propensity score matching, Program evaluation and Selection bias in addition to Matching.
She most often published in these fields:
- Econometrics (69.61%)
- Earnings (35.29%)
- Nonparametric statistics (33.33%)
What were the highlights of her more recent work (between 2011-2020)?
- Affect (27.94%)
- Incentive (17.16%)
- Conditional cash transfer (28.43%)
In recent papers she was focusing on the following fields of study:
Petra E. Todd mostly deals with Affect, Incentive, Conditional cash transfer, Mathematics education and Curriculum.
The Affect study combines topics in areas such as Counterfactual thinking, Big Five personality traits, Retirement age and Demographic economics.
Petra E. Todd has researched Incentive in several fields, including Government, Balance, Monetary economics and Investment.
She interconnects Employability, Public economics and Program evaluation in the investigation of issues within Conditional cash transfer.
The various areas that she examines in her Mathematics education study include Coordination game, Treatment and control groups and Social experiment.
Her Matching study combines topics from a wide range of disciplines, such as Estimator and Regression.
Between 2011 and 2020, her most popular works were:
- Aligning Learning Incentives of Students and Teachers: Results from a Social Experiment in Mexican High Schools (49 citations)
- How beliefs about HIV status affect risky behaviors: evidence from Malawi (45 citations)
- Are conditional cash transfers effective in urban areas? Evidence from Mexico (43 citations)
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