1968 - Fellow of the American Statistical Association (ASA)
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.
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.
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.
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.
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Principles of econometrics
Economics and information theory
A Rank-Invariant Method of Linear and Polynomial Regression Analysis
Applied economic forecasting
Henri Theil;G. A. C. Beerens;C. G. De Leeuw;C. B. Tilanus.
Introduction to econometrics
Economic forecasts and policy
The Information Approach to Demand Analysis
Economic Forecasts and Policy
L. A. Dicks-Mireaux;H. Theil;J. S. Cramer;H. Moerman.
Linear aggregation of economic relations
Optimal decision rules for government and industry
Revue de l'Institut International de Statistique / Review of the International Statistical Institute (1965)
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