Sample selection models for count data in R

DOI10.1007/s00180-017-0762-yzbMath1417.62010OpenAlexW2752146844WikidataQ59613481 ScholiaQ59613481MaRDI QIDQ722737

Giampiero Marra, Karol Wyszynski

Publication date: 27 July 2018

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: http://link.springer.com/10.1007/s00180-017-0762-y

zbMATH Keywords

copulaselection biastutorialnon-random sample selectionpenalized regression splinecount response

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Software, source code, etc. for problems pertaining to statistics (62-04)

Related Items (2)

A Generalized Heckman Model With Varying Sample Selection Bias and Dispersion Parameters ⋮ Sample selection models for discrete and other non-Gaussian response variables

Uses Software

• R
• LIMDEP
• Stata
• SAS
• SemiPar
• GAMLSS
• CDVine
• SemiParBIVProbit
• sampleSelection
• gamair
• SAS/STAT
• GJRM
• SemiParSampleSel

Cites Work

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• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Semi-Nonparametric Maximum Likelihood Estimation
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• Bayesian robust inference of sample selection using selection-\(t\) models
• Semiparametric and nonparametric estimation of sample selection models under symmetry
• Semiparametric instrumental variable estimation of simultaneous equation sample selection models
• Estimating count data models with endogenous switching: sample selection and endogenous treatment effects
• Semi-parametric copula sample selection models for count responses
• Maximum penalized likelihood estimation for skew-normal and skew-\(t\) distributions
• Coverage Properties of Confidence Intervals for Generalized Additive Model Components
• Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects
• Count data models with selectivity
• Semiparametric Regression
• Modelling sample selection using Archimedean copulas
• Nonparametric Estimation of Sample Selection Models
• A Heckman Selection-tModel
• Modeling Multivariate Count Data Using Copulas
• Robust Inference in Sample Selection Models
• A Primer on Copulas for Count Data
• Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
• Generalized Additive Models for Location, Scale and Shape
• Handbook of econometrics. Vol. 4

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