Applied Microeconometrics

von Damian Clarke

384 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

A rigorous, cutting-edge overview of the range of methods used to conduct causal inference in the social sciences.This textbook provides a lucid, rigorous, and cutting-edge overview of the methods used to conduct causal inference in the social sciences, covering all the core techniques and latest advances. Offering a detailed survey of the current state of microeconometric theory, Damian Clarke delves deeply into machine learning applications and presents developments in difference-in-difference methods, instrumental variables, multiple hypothesis testing, and other advanced topics. With a diverse range of examples and exercises offering hands-on experience, Applied Microeconometrics equips graduate students and researchers to apply state-of-the art scholarship to actionable problems.- Integrates a rich array of machine learning methods into causal modeling frameworks- Covers recent advances in difference-in-differences and dynamic research designs, formal discussions of challenges related to inference and hypothesis testing, and heterogeneity analysis- Features a breadth of real-world examples from recent papers- Includes coding implementation in Python, R, and Stata

• Themen: Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management Wirtschaftswissenschaft
• ISBN: 9780262053648
• Sprache: Englisch
• Erscheinungsdatum: 09.06.2026
• Größe: 229 x 203 mm
• Verlag: MIT Press Ltd