What is he best known for?
The fields of study he is best known for:
- Finance
- Microeconomics
- Macroeconomics
His primary scientific interests are in Development economics, Poverty, Asset, Production and Consumption.
His studies in Development economics integrate themes in fields like Productivity, Capital and Standard of living.
His Poverty study is related to the wider topic of Economic growth.
His study in Asset is interdisciplinary in nature, drawing from both Basis risk, Actuarial science, Underwriting, Insurance policy and Income protection insurance.
His Production study integrates concerns from other disciplines, such as Property rights, Allocative efficiency and Labour economics.
The Consumption study combines topics in areas such as Panel data, Livelihood, Market failure and Distribution.
His most cited work include:
- The economics of poverty traps and persistent poverty: An asset-based approach (991 citations)
- Asset smoothing, consumption smoothing and the reproduction of inequality under risk and subsistence constraints (431 citations)
- Poverty Traps and Natural Disasters in Ethiopia and Honduras (417 citations)
What are the main themes of his work throughout his whole career to date?
Michael R. Carter focuses on Poverty, Public economics, Actuarial science, Development economics and Asset.
His research integrates issues of Vulnerability and Social protection in his study of Poverty.
In his research, Property rights is intimately related to Investment, which falls under the overarching field of Public economics.
In his research on the topic of Actuarial science, Risk aversion is strongly related with Index.
His Development economics study incorporates themes from Standard of living and Livelihood.
His work deals with themes such as Consumption and Human capital, which intersect with Asset.
He most often published in these fields:
- Poverty (27.05%)
- Public economics (20.08%)
- Actuarial science (16.39%)
What were the highlights of his more recent work (between 2013-2021)?
- Public economics (20.08%)
- Poverty (27.05%)
- Actuarial science (16.39%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Public economics, Poverty, Actuarial science, Index and Insurance policy.
His Public economics research includes elements of Risk pool, Agricultural economics, Behavioral economics, Investment and Consumption.
Michael R. Carter combines subjects such as Vulnerability, Asset, Social protection and Development economics with his study of Poverty.
His Development economics research incorporates elements of Green Revolution and Market failure.
His work on Key person insurance as part of general Actuarial science study is frequently linked to Credit rationing, bridging the gap between disciplines.
The study incorporates disciplines such as Microeconomics, Risk management and Expected utility hypothesis in addition to Insurance policy.
Between 2013 and 2021, his most popular works were:
- Climate-smart agriculture global research agenda: scientific basis for action (105 citations)
- Where and how index insurance can boost the adoption of improved agricultural technologies (73 citations)
- Index Insurance for Developing Country Agriculture: A Reassessment (48 citations)
In his most recent research, the most cited papers focused on:
- Finance
- Microeconomics
- Macroeconomics
His primary areas of investigation include Public economics, Poverty, Index, Basis risk and Demographic economics.
His Public economics research integrates issues from Subsidy, Agricultural economics, Behavioral economics, Developing country and Consumption.
His Poverty research incorporates themes from Farm income, Consumption smoothing, Development economics and Entrepreneurship.
His biological study deals with issues like Social protection, which deal with fields such as Poverty trap.
Michael R. Carter studied Index and Risk pool that intersect with Business interruption insurance.
His Basis risk research includes themes of Welfare, Payment and Insurance policy.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
