Use of propensity scores in non-linear response models the case for health care expenditures

"Under the assumption of no unmeasured confounders, a large literature exists on methods that can be used to estimating average treatment effects (ATE) from observational data and that spans regression models, propensity score adjustments using stratification, weighting or regression and even t...

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Bibliographische Detailangaben

1. Verfasser:	Basu, Anirban (VerfasserIn)
Weitere Verfasser:	Polsky, Daniel (VerfasserIn), Manning, Willard G. (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Cambridge, Mass. National Bureau of Economic Research 2008
Schriftenreihe:	NBER working paper series 14086
Schlagworte:	Schätztheorie > Simulation > Statistische Methode > Nichtlineare Regression > Gesundheitskosten > Theorie > Arbeitspapier > Graue Literatur
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