Conceptual Anomalies in Economics and Statistics: Lessons from the Social Experiment
Do economics and statistics succeed in explaining human social behaviour? To answer this question. Leland Gerson Neuberg studies some pioneering controlled social experiments. Starting in the late 1960s, economists and statisticians sought to improve social policy formation with random assignment experiments such as those that provided income guarantees in the form of a negative income tax. This book explores anomalies in the conceptual basis of such experiments and in the foundations of statistics and economics more generally. Scientific inquiry always faces certain philosophical problems. Controlled experiments of human social behaviour, however, cannot avoid some methodological difficulties not evident in physical science experiments. Drawing upon several examples, the author argues that methodological anomalies prevent microeconomics and statistics from explaining human social behaviour as coherently as the physical sciences explain nature. He concludes that controlled social experiments are a frequently overrated tool for social policy improvement.
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R A Fisher randomization and controlled
Some special difficulties of controlled social
Humes problem of induction in modern statistical
Summary and conclusion of Part I
Microeconomics striving to be a classical
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Conceptual Anomalies in Economics and Statistics: Lessons from the Social ...
Leland Gerson Neuberg
No preview available - 2008
approximation argued argument assumptions attachment difficulties Axiom bias causal effects causal point estimation Chapter classical mechanics commodities concept conclusion confront the observations constant consumer theory controlled experiment controlled social experiments convexity corner solutions counterfactual conditional deductive demand function economics economists empiricism employed equation equilibrium equiprobable error example experimental follow formalization Gary experiment Hawthorne effect hoc theory implies income maintenance experiments individual induction inferential Jersey labor-leisure choice theory Lemma level-a test linear logic mean ment Mill's Mill's Method Newton's Second Law nomics Notice objects of inquiry parameters Pareto-efficient particle placeholder Popper population prediction statement probability distribution problem production function proof R. A. Fisher random assignment randomization-based reporting response sample sense statistical statistical inference stratified suppose tastes and preferences Theorem theory's tion treatment group UCAM unbiased estimate variables vector wage rate