What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Law
- Statistics
His primary scientific interests are in Microeconomics, Actuarial science, Panel data, Adverse selection and Big data.
His Microeconomics research integrates issues from E-commerce, Peer-to-peer, Reputation, Matching and Function.
His research in Actuarial science intersects with topics in Health policy, Risk aversion and Insurance Selection Bias.
He interconnects Occupational safety and health and Data mining in the investigation of issues within Panel data.
His Adverse selection course of study focuses on Welfare and Public policy.
His Big data research includes elements of Economic statistics, Economic model, Data science and Private sector.
His most cited work include:
- Estimating risk preferences from deductible choice (379 citations)
- Determinants of international tourism: a three-dimensional panel data analysis (285 citations)
- Economics in the age of big data. (224 citations)
What are the main themes of his work throughout his whole career to date?
Liran Einav mainly investigates Actuarial science, Microeconomics, Context, Health care and Adverse selection.
His research on Actuarial science focuses in particular on Insurance policy.
His Microeconomics research is multidisciplinary, relying on both Matching and Empirical research.
Liran Einav has included themes like Demography, Payment, Revenue and Long-term care in his Health care study.
His Adverse selection research includes themes of Information asymmetry, Econometrics, Welfare and Deductible.
His biological study spans a wide range of topics, including Econometric model and Risk aversion.
He most often published in these fields:
- Actuarial science (42.50%)
- Microeconomics (29.50%)
- Context (25.50%)
What were the highlights of his more recent work (between 2016-2021)?
- Health care (23.00%)
- Actuarial science (42.50%)
- Context (25.50%)
In recent papers he was focusing on the following fields of study:
Liran Einav spends much of his time researching Health care, Actuarial science, Context, Counterfactual thinking and Payment.
His work carried out in the field of Health care brings together such families of science as Demography, Financial incentives, Revenue and Long-term care.
The concepts of his Actuarial science study are interwoven with issues in Moral hazard, Health insurance and Claims data.
As a member of one scientific family, Liran Einav mostly works in the field of Moral hazard, focusing on Randomized experiment and, on occasion, Research design and Morale hazard.
Incentive is a subfield of Microeconomics that Liran Einav investigates.
His Microeconomics research incorporates elements of Key, The Internet and Product.
Between 2016 and 2021, his most popular works were:
- Predictive modeling of U.S. health care spending in late life. (50 citations)
- Predictive modeling of U.S. health care spending in late life. (50 citations)
- Auctions versus Posted Prices in Online Markets (45 citations)
In his most recent research, the most cited papers focused on:
- Microeconomics
- Statistics
- Law
His primary areas of investigation include Health care, Actuarial science, Incentive, Context and Public economics.
His Health care study incorporates themes from Demography, MEDLINE and Ex-ante.
His Incentive study is focused on Microeconomics in general.
He regularly links together related areas like The Internet in his Microeconomics studies.
Within one scientific family, Liran Einav focuses on topics pertaining to Medicare Advantage under Public economics, and may sometimes address concerns connected to Utilization management, Revenue, Healthcare utilization, Claims data and Economic surplus.
His study in Medicare Part D is interdisciplinary in nature, drawing from both Public finance and Insurance policy.
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