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CTREATREG: Stata module for estimating dose-response models under exogenous and endogenous treatment

Author

Listed:
  • Giovanni Cerulli

    (Ceris-CNR)

Programming Language

Stata

Abstract

ctreatreg estimates the Dose-Response-Function (DRF) of a given treatment on a specific target variable, within a model where units are treated with different levels. The DRF is defined as the "average treatment effect, given the level of the treatment t" (i.e. ATE_t)). The routine also estimates other "causal" parameters of interest, such as the average treatment effect (ATE), the average treatment effect on treated (ATET), the average treatment effect on non-treated (ATENT), and the same effects conditional on t and on the vector of covariates x. Both OLS and IV estimation are available, according to the case in which the treatment is not or is endogenous.

Suggested Citation

  • Giovanni Cerulli, 2014. "CTREATREG: Stata module for estimating dose-response models under exogenous and endogenous treatment," Statistical Software Components S457820, Boston College Department of Economics, revised 25 Oct 2017.
    • Handle: RePEc:boc:bocode:s457820
    Note: This module should be installed from within Stata by typing "ssc install ctreatreg". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/c/ctreatreg.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/c/ctreatreg.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/b/boot_drf.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/b/boot_drf.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/c/ctreatreg_example_dataset.dta
    File Function: sample data file
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    File URL: http://fmwww.bc.edu/repec/bocode/w/wp_05_2014_cerulli.pdf
    File Function: documentation
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    More about this item

    Keywords

    treatment; dose-response function; average treatment effect; ATE; ATENT; Stata;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation

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