What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Macroeconomics
- Inflation
His primary areas of investigation include Econometrics, Fertility, Microeconomics, Growth rate and Zero.
His Econometrics study frequently draws connections between adjacent fields such as Consumption.
His Consumption study combines topics from a wide range of disciplines, such as Returns to scale and Per capita.
Larry E. Jones combines subjects such as Labour economics, Economic model and Infant mortality with his study of Fertility.
His Microeconomics research integrates issues from Public economics and Welfare.
His Human capital research is multidisciplinary, relying on both Capital formation, Capital deepening, Tax rate and Development economics.
His most cited work include:
- A Convex Model of Equilibrium Growth: Theory and Policy Implications (615 citations)
- Optimal Taxation in Models of Endogenous Growth (576 citations)
- On the Optimal Taxation of Capital Income (298 citations)
What are the main themes of his work throughout his whole career to date?
Larry E. Jones mostly deals with Fertility, Microeconomics, Endogenous growth theory, Econometrics and Consumption.
He has researched Fertility in several fields, including Baby boom, Labour economics, Demographic economics and Social security.
His study in the fields of Incentive, Competition and Monopoly under the domain of Microeconomics overlaps with other disciplines such as Private information retrieval and Pollution.
His Endogenous growth theory study combines topics in areas such as Volatility and Monetary economics.
His Econometrics studies intersect with other disciplines such as Growth rate and Zero.
His research integrates issues of Productivity and Per capita in his study of Consumption.
He most often published in these fields:
- Fertility (30.00%)
- Microeconomics (28.57%)
- Endogenous growth theory (22.86%)
What were the highlights of his more recent work (between 2007-2016)?
- Fertility (30.00%)
- Productivity (13.57%)
- Demographic economics (14.29%)
In recent papers he was focusing on the following fields of study:
His main research concerns Fertility, Productivity, Demographic economics, Consumption and Private information retrieval.
His Fertility research is multidisciplinary, incorporating elements of Development economics, Keynesian economics and Elasticity of substitution.
His Elasticity of substitution study incorporates themes from Population growth, Child mortality, Welfare and Econometrics.
His biological study spans a wide range of topics, including Health care, Labour economics and Ex-ante.
His Demographic economics research is multidisciplinary, incorporating perspectives in Developed country, Baby boom and Demographic transition.
His work on Incentive as part of general Microeconomics research is frequently linked to Altruism, bridging the gap between disciplines.
Between 2007 and 2016, his most popular works were:
- FERTILITY THEORIES: CAN THEY EXPLAIN THE NEGATIVE FERTILITY-INCOME RELATIONSHIP? (81 citations)
- Chapter 5 An Economic History of Fertility in the United States: 1826–1960 (68 citations)
- Fertility and Social Security (62 citations)
In his most recent research, the most cited papers focused on:
- Microeconomics
- Macroeconomics
- Inflation
Larry E. Jones focuses on Demographic economics, Fertility, Negative relationship, Baby boom and Most Times.
His study in Demographic economics is interdisciplinary in nature, drawing from both Developed country, Labour economics, Child mortality and Demographic transition.
His research in Demographic transition intersects with topics in Population growth, Elasticity of substitution and Welfare.
His work carried out in the field of Baby boom brings together such families of science as Economic indicator and Income elasticity of demand.
His Most Times research incorporates elements of Human capital, Empirical evidence, Earnings, Opportunity cost and As is.
His work in Human capital is not limited to one particular discipline; it also encompasses Development economics.
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.
