# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "REndo" in publications use:' type: software license: GPL-3.0-only title: 'REndo: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables' version: 2.4.10 doi: 10.18637/jss.v107.i03 identifiers: - type: doi value: 10.32614/CRAN.package.REndo abstract: 'Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel''s (1997) higher moments approach as well as Lewbel''s (2012) heteroscedasticity approach, Park and Gupta''s (2012) joint estimation method that uses Gaussian copula and Kim and Frees''s (2007) multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. See the publication related to this package in the Journal of Statistical Software for more details: . Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.' authors: - family-names: Gui given-names: Raluca email: raluca.gui@gmail.com - family-names: Meierer given-names: Markus email: markus.meierer@business.uzh.ch - family-names: Algesheimer given-names: Rene email: market-research@business.uzh.ch - family-names: Schilter given-names: Patrik email: patrik.schilter@gmail.com preferred-citation: type: article title: 'REndo: Internal Instrumental Variables to Address Endogeneity' authors: - family-names: Gui given-names: Raluca email: raluca.gui@business.uzh.ch - family-names: Meierer given-names: Markus email: markus.meierer@business.uzh.ch - family-names: Schilter given-names: Patrik email: patrik.schilter@gmail.com - family-names: Algesheimer given-names: Ren\'e journal: Journal of Statistical Software year: '2023' volume: '107' issue: '3' doi: 10.18637/jss.v107.i03 start: '1' end: '43' repository: https://CRAN.R-project.org/package=REndo repository-code: https://github.com/mmeierer/REndo url: https://github.com/mmeierer/REndo date-released: '2024-07-02' contact: - family-names: Gui given-names: Raluca email: raluca.gui@gmail.com