Assessing Causal Effects in a Longitudinal Observational Study With “Truncated” Outcomes Due to Unemployment and Nonignorable Missing Data-Reference-Cited by-同舟云学术

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

Published:2021-02-04 Issue: Volume: Page:1-12
ISSN:0735-0015
Container-title:Journal of Business & Economic Statistics
language:en
Short-container-title:Journal of Business & Economic Statistics

Author:

Bia Michela¹,Mattei Alessandra²³,Mercatanti Andrea⁴

Affiliation:

1. Labor Market Department, LISER and University of Luxembourg, Esch-sur-Alzette/Belval, Luxembourg;

2. Department of Statistics, Computer Science, Applications, University of Florence, Italy;

3. Florence Center for Data Science, Florence, Italy;

4. Directorate General for Economics, Statistics and Research, Bank of Italy, Rome, Italy

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/07350015.2020.1862672

Reference58 articles.

1. Do Reservation Wages Really Decline? Some International Evidence on the Determinants of Reservation Wages

2. Empirical Strategies in Labor Economics

3. Bayesian inference for causal mechanisms with application to a randomized study for postoperative pain control

4. The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices

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