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Assessing Causal Effects in a Longitudinal Observational Study With “Truncated” Outcomes Due to Unemployment and Nonignorable Missing Data - MaRDI portal

Assessing Causal Effects in a Longitudinal Observational Study With “Truncated” Outcomes Due to Unemployment and Nonignorable Missing Data (Q6620896)

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Please use this page instead for the normal view: Assessing Causal Effects in a Longitudinal Observational Study With “Truncated” Outcomes Due to Unemployment and Nonignorable Missing Data

scientific article; zbMATH DE number 7928212

Language	Label	Description	Also known as
English	Assessing Causal Effects in a Longitudinal Observational Study With “Truncated” Outcomes Due to Unemployment and Nonignorable Missing Data	scientific article; zbMATH DE number 7928212

Statements

scholarly article

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Assessing Causal Effects in a Longitudinal Observational Study With “Truncated” Outcomes Due to Unemployment and Nonignorable Missing Data (English)

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Alessandra Mattei

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Andrea Mercatanti

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Journal of Business and Economic Statistics

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publication date

17 October 2024

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MaRDI profile type

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Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using�Bounds

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Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes

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Principal Stratification in Causal Inference

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Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition

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Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data

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Bayesian inference for partially identified models

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Sample Selection Bias as a Specification Error

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Sharp bounds on the causal effects in randomized experiments with ``truncation-by-death''

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Estimating Outcome Distributions for Compliers in Instrumental Variables Models

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Causal Inference for Statistics, Social, and Biomedical Sciences

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Principal Stratification for Causal Inference With Extended Partial Compliance

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Estimation of a Panel Data Sample Selection Model

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An Econometric Analysis of Reservation Wages

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Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects

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Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program

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Application of the Principal Stratification Approach to the Faenza Randomized Experiment on Breast Self‐Examination

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Identification of causal effects in the presence of nonignorable missing outcome values

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Finite mixture models

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Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness

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Clarifying missing at random and related definitions, and implications when coupled with exchangeability: Table 1.

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Bayesian Inference for Sequential Treatments Under Latent Sequential Ignorability

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The central role of the propensity score in observational studies for causal effects

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Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse

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Inference and missing data

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Bayesian inference for causal effects: The role of randomization

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Causal inference through potential outcomes and principal stratification: application to studies with ``censoring'' due to death

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The Calculation of Posterior Distributions by Data Augmentation

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Nonstationarity in Job Search Theory

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Inference for the Complier-Average Causal Effect From Longitudinal Data Subject to Noncompliance and Missing Data, With Application to a Job Training Assessment for the Unemployed

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Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification

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Identifiers

zbMATH Open document ID

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10.1080/07350015.2020.1862672

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6620896

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