CRUDE Structural Modeling?? Why Design-Based Papers Are More Structural Than They Think скачать в хорошем качестве

CRUDE Structural Modeling?? Why Design-Based Papers Are More Structural Than They Think

Ever notice how "reduced form" papers always end with discussions about mechanisms? There's a reason for that, and Arthur Lewbel calls it "crude structural modeling." In this video, we discuss why most design-based research is more structural than economists admit: informal mechanism speculation is actually structural reasoning in disguise! We also describe how sufficient statistics can be formal "shortcuts" that bridge the gap between design-based estimates and structural insights. 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: Chetty, Raj. 2009. "Sufficient Statistics for Welfare Analysis: A Bridge Between Structural and Reduced-Form Methods." Annual Review of Economics, 1(1), 451-488. DOI: 10.1146/annurev.economics.050708.142910 Lewbel, Arthur. 2019. "The Identification Zoo: Meanings of Identification in Econometrics." Journal of Economic Literature 57 (4): 835–903. DOI: 10.1257/jel.20181361 Card, David. 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling." NBER Working Paper No. 4483. DOI: 10.3386/w4483 Topics Covered: Why the structural vs. reduced form divide is largely illusory How all empirical work exists on a spectrum of structural assumptions The four key features that make methods "more structural": behavioral assumptions, deep parameters, mechanism modeling, and generalizability Why every difference-in-differences paper that discusses "mechanisms" is actually doing structural work Chetty's "sufficient statistics" approach as a bridge between informal and formal structural modeling Real-World Examples: How David Card's famous distance-to-college study occupies a middle ground with explicit mechanism assumptions Why most natural experiments actually embed strong theoretical assumptions The difference between informal mechanism discussion and formal structural modeling The Bottom Line: If you're a design-based researcher who thinks you're avoiding structural assumptions, this video will change how you see your own work. And if you're considering adding more formal structure to your research, you'll understand why that might be the logical next step rather than a methodological leap. #econometrics #crudestructuralmodeling #designbased #reducedform #structuralmodels #empiricaleconomics #causalinference #instrumentalvariables #mechanisms #identification #economicmethodology #researchmethods #arthurlewbel #sufficientstatistics #differenceindifferences #naturalexperiments #policyanalysis #microeconometrics #appliedeconomics #academicresearch #econometrictheory #empiricalstrategy #researchdesign #behavioralassumptions 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 ​