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Keywords:heterogeneous treatment effects OR Heterogeneous treatment effects 

Report
Latent Heterogeneity in the Marginal Propensity to Consume

We estimate the distribution of marginal propensities to consume (MPCs) using a novel clustering approach that generalizes the fuzzy C-means algorithm to regression settings. We apply the estimator to the 2008 stimulus payments, exploiting the randomized timing of disbursements, and find considerable heterogeneity in MPCs that varies by consumption good. We document observable determinants of this heterogeneity, without imposing ex ante assumptions on such relationships; MPCs correlate positively with income and the average propensity to consume, but much heterogeneity remains unexplained. ...
Staff Reports , Paper 902

Working Paper
ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model

We present the ivcrc command, which implements an instrumental variables (IV) estimator for the linear correlated random coefficients (CRC) model. This model is a natural generalization of the standard linear IV model that allows for endogenous, multivalued treatments and unobserved heterogeneity in treatment effects. The proposed estimator uses recent semiparametric identification results that allow for flexible functional forms and permit instruments that may be binary, discrete, or continuous. The command also allows for the estimation of varying coefficients regressions, which are ...
Finance and Economics Discussion Series , Paper 2020-046

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