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This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It is aimed at the general reader with the equivalent of a bachelor's degree in economics, statistics or some more technical field. It covers the standard tools of microeconometrics, OLS, instrumental variables, Heckman selection and difference in difference. In addition, it introduces bounds, factor models, mixture models and empirical Bayesian analysis.

Microeconomics --- Econometrics --- Statistics --- Game theory --- R (Computer program language) --- Game Theory --- Games, Theory of --- Theory of games --- Mathematical models --- Mathematics --- Economics, Mathematical --- Price theory --- Economics --- Game Theories --- Theories, Game --- Theory, Game --- Decision Making --- Operations Research --- GNU-S (Computer program language) --- Domain-specific programming languages --- Computer programs --- Microeconomics. --- Microéconomie. --- Econometrics. --- Économétrie. --- Statistique --- Game theory. --- Théorie des jeux. --- Computer programs. --- Logiciels. --- R

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Incentives in industry. --- Profit-sharing.

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Drug development --- Prescription pricing --- Pharmaceutical policy --- Drugs --- Simulation methods. --- Government policy --- Prices --- United States. --- Rules and practice.

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Risk assessment. --- Risk management. --- Competing risks.

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Drug development --- Prescription pricing --- Pharmaceutical policy --- Drugs --- Simulation methods. --- Government policy --- Prices --- United States. --- Rules and practice.