Esther Duflo mainly focuses on Demographic economics, Randomized experiment, Economic growth, Income distribution and Demography. Esther Duflo combines subjects such as Incentive, Microfinance, Private good and Shock with her study of Demographic economics. Her Randomized experiment research includes themes of Medical education, Remedial education, Numeracy, Literacy and Attendance.
Esther Duflo has included themes like Government and Per capita in her Economic growth study. Her Income distribution research focuses on Human development and how it connects with Development economics and Indonesian government. As a member of one scientific family, Esther Duflo mostly works in the field of Demography, focusing on Social pension and, on occasion, Per capita income.
Her primary scientific interests are in Developing country, Randomized experiment, Incentive, Rural area and Economic growth. Her study brings together the fields of Demographic economics and Developing country. Esther Duflo has researched Randomized experiment in several fields, including Attendance and Labour economics.
In her research, Esther Duflo undertakes multidisciplinary study on Incentive and Psychological intervention. Esther Duflo usually deals with Rural area and limits it to topics linked to Public good and Position. As part of her studies on Economic growth, Esther Duflo often connects relevant areas like Politics.
Esther Duflo mostly deals with Artificial intelligence, Machine learning, Microfinance, Overfitting and Replication. Her biological study spans a wide range of topics, including Randomized experiment, Linear regression and Replication. Esther Duflo interconnects Social network, Matching, Control, Labour economics and Fixed cost in the investigation of issues within Microfinance.
Esther Duflo studied Social network and Institution that intersect with Demographic economics and Social capital. Her research in Overfitting intersects with topics in Estimator, Estimating equations, Regularization, Lasso and Random forest. Her research integrates issues of Incentive, Development economics, Happiness and Process management in her study of Replication.
Her primary areas of investigation include Artificial intelligence, Machine learning, Random forest, Overfitting and Artificial neural network. Her Artificial intelligence research integrates issues from Average treatment effect, Observational study, Statistics and Econometrics. Her Random forest research incorporates themes from Linear regression, Estimator, Estimating equations, Regularization and Lasso.
Her Estimator study frequently involves adjacent topics like Statistical theory. The concepts of her Artificial neural network study are interwoven with issues in Ensemble learning, Randomized experiment and Inference. Her Inference research incorporates elements of Estimation theory and Nominal level, Confidence interval.
Marianne Bertrand;Esther Duflo;Sendhil Mullainathan
Abhijit V. Banerjee;Esther Duflo
Esther Duflo
Abhijit Banerjee;Esther Duflo;Rachel Glennerster;Cynthia Kinnan
Victor Chernozhukov;Denis Chetverikov;Mert Demirer;Esther Duflo
Esther Duflo
Raghabendra Chattopadhyay;Esther Duflo
Abhijit V. Banerjee;Esther Duflo
Esther Duflo
Esther Duflo;Rachel Glennerster;Michael Kremer
Esther Duflo;Emmanuel Saez
Abhijit Banerjee;Arun G. Chandrasekhar;Arun G. Chandrasekhar;Esther Duflo;Matthew O. Jackson;Matthew O. Jackson;Matthew O. Jackson
Abhijit V. Banerjee;Shawn Cole;Esther Duflo;Leigh L Linden
Abhijit V. Banerjee;Esther Duflo
Esther Duflo;Emmanuel Saez
Esther Duflo;Pascaline Dupas;Michael Kremer
Esther Duflo;Michael Kremer;Jonathan Robinson
Abhijit V. Banerjee;Esther Duflo
Lori Beaman;Raghabendra Chattopadhyay;Esther Duflo;Rohini Pande
Abhijit Banerjee;Esther Duflo;Nancy Qian
Victor Chernozhukov;Denis Chetverikov;Mert Demirer;Esther Duflo
Esther Duflo
Esther Duflo;Christopher R. Udry
Victor Chernozhukov;Denis Chetverikov;Mert Demirer;Esther Duflo
Abhijit Banerjee;Esther Duflo;Nathanael Goldberg;Dean Karlan
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