The Structural vs. Reduced Form SPECTRUM in Economics скачать в хорошем качестве

The Structural vs. Reduced Form SPECTRUM in Economics

Ever wondered about the difference between "structural" and "reduced form" methods in economics? In this video, I explore Phil Haile's perspective that all empirical work falls into two categories: descriptive or structural - with no true "reduced form" middle ground. Phil Haile's slide deck: Web search for "Models, Measurement, and the Language of Empirical Economics" Latest version on his teaching webpage: https://sites.google.com/view/philhai... Scientific Papers Referenced: Ashworth, Jared and Tyler Ransom. 2019. "Has the college wage premium continued to rise? Evidence from multiple U.S. surveys." Economics of Education Review, 69, 149-154. DOI: 10.1016/j.econedurev.2019.02.003 Finkelstein, Amy, Sarah Taubman, Bill Wright, Mira Bernstein, Jonathan Gruber, Joseph P. Newhouse, Heidi Allen, Katherine Baicker, and the Oregon Health Study Group. 2012. "The Oregon Health Insurance Experiment: Evidence from the First Year." The Quarterly Journal of Economics. 127 (3), 1057–1106. DOI: 10.1093/qje/qjs020 Mahoney, Neale. 2022. "Principles for Combining Descriptive and Model-Based Analysis in Applied Microeconomics Research." Journal of Economic Perspectives 36 (3): 211–22. DOI: 10.1257/jep.36.3.211 What You'll Learn: The difference between descriptive and structural empirical work Why randomized controlled trials involve structural assumptions How econometric methods exist on a spectrum of structure The trade-offs between assumptions and information content Examples from less structural to more structural approaches Methods Discussed: Randomized Controlled Trials (RCTs) Instrumental Variables Regression Discontinuity Design Difference-in-Differences General Equilibrium Models Demand Estimation Dynamic Discrete Choice Models Real-World Example: The Oregon Health Insurance Experiment and how it demonstrates structural reasoning in what might seem like a simple randomized trial. This is the first video in a series exploring identification strategies, external validity, and how different econometric approaches complement each other in answering important research questions. Up Next: A detailed look at identification - what it means and various approaches to achieving it. #econometrics #economicmethodology #structuralmodels #empiricaleconomics #researchmethods #randomizedcontrolledtrials #identification #causalinference #OregonHealthInsuranceExperiment #instrumentalvariables #regressiondiscontinuity #differenceindifferences #econometrictheory #appliedeconomics #researchdesign #academiceconomics Tyler Ransom is an Associate Professor of Economics at the University of Oklahoma. Subscribe for more videos on data science, econometrics, and research methods! Editing credit: @neiljohnmanllios3064