H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Economics and Finance D-index 34 Citations 18,136 127 World Ranking 1519 National Ranking 921

Research.com Recognitions

Awards & Achievements

1968 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Normal distribution
  • Algebra

His primary areas of study are Microeconomics, Econometrics, Consumption, International inequality and Economic forecasting. His work focuses on many connections between Microeconomics and other disciplines, such as Commodity, that overlap with his field of interest in Price index and Market demand schedule. His study in Demand forecasting extends to Econometrics with its themes.

His Consumption research is multidisciplinary, incorporating perspectives in Demand management, Environmental economics and Agricultural economics. Henri Theil has included themes like Income inequality metrics and Demographic economics in his International inequality study. His Economic forecasting study combines topics in areas such as Finance, Macroeconomics and Consensus forecast.

His most cited work include:

  • Principles of econometrics (3224 citations)
  • Economics and information theory (2195 citations)
  • A Rank-Invariant Method of Linear and Polynomial Regression Analysis (1246 citations)

What are the main themes of his work throughout his whole career to date?

Henri Theil focuses on Econometrics, Statistics, Income elasticity of demand, Inequality and Microeconomics. Henri Theil focuses mostly in the field of Econometrics, narrowing it down to topics relating to Consumption and, in certain cases, Quality and Agricultural economics. His research investigates the connection between Statistics and topics such as Applied mathematics that intersect with problems in Mathematical optimization.

His studies deal with areas such as Marginal utility and Macroeconomics as well as Income elasticity of demand. His Income distribution and Economic inequality study in the realm of Inequality connects with subjects such as Per capita income. His study in the fields of Demand curve and Wealth elasticity of demand under the domain of Microeconomics overlaps with other disciplines such as Consumer demand.

He most often published in these fields:

  • Econometrics (27.88%)
  • Statistics (25.00%)
  • Income elasticity of demand (11.54%)

What were the highlights of his more recent work (between 1990-2003)?

  • Inequality (12.50%)
  • Econometrics (27.88%)
  • Income elasticity of demand (11.54%)

In recent papers he was focusing on the following fields of study:

Inequality, Econometrics, Income elasticity of demand, Per capita and Statistics are his primary areas of study. His Inequality research includes themes of Demographic economics, Economic geography, Development economics, Economy and Division. His research in Econometrics is mostly concerned with Methodology of econometrics.

His studies deal with areas such as Wealth elasticity of demand, Income distribution, Marginal utility and Measure as well as Income elasticity of demand. His work on Linear model and Homogeneity testing as part of general Statistics research is frequently linked to Environmental science, Compatibility and Estimation, thereby connecting diverse disciplines of science. His work deals with themes such as Linear regression, Bayesian multivariate linear regression, Proper linear model, Polynomial regression and Principal component regression, which intersect with Linear model.

Between 1990 and 2003, his most popular works were:

  • A Rank-Invariant Method of Linear and Polynomial Regression Analysis (1246 citations)
  • Studies in global econometrics (44 citations)
  • The geographic distribution of world income, 1950–1990 (22 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Normal distribution
  • Algebra

The scientist’s investigation covers issues in Econometrics, Inequality, Consumption, Per capita and Income elasticity of demand. His Inequality study incorporates themes from Development economics and Economic geography. His Consumption research is multidisciplinary, incorporating elements of Relative price and Real income.

His Real income research includes themes of Quality, Spatial analysis, Index and Product. His studies link Conjecture with Per capita. His Income elasticity of demand study is concerned with the larger field of Microeconomics.

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.

Best Publications

Principles of econometrics

Henri Theil.
(1971)

5502 Citations

Economics and information theory

Henri Theil.
(1967)

3614 Citations

A Rank-Invariant Method of Linear and Polynomial Regression Analysis

Henri Theil.
(1992)

1998 Citations

Applied economic forecasting

Henri Theil;G. A. C. Beerens;C. G. De Leeuw;C. B. Tilanus.
(1966)

1707 Citations

Introduction to econometrics

Henri Theil.
(1978)

1249 Citations

Economic forecasts and policy

Henri Theil.
(1958)

1234 Citations

The Information Approach to Demand Analysis

Henri Theil.
Econometrica (1965)

759 Citations

Economic Forecasts and Policy

L. A. Dicks-Mireaux;H. Theil;J. S. Cramer;H. Moerman.
Econometrica (1962)

655 Citations

Linear aggregation of economic relations

Henri Theil.
(1954)

587 Citations

Optimal decision rules for government and industry

Henri Theil.
Revue de l'Institut International de Statistique / Review of the International Statistical Institute (1965)

557 Citations

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