Doubly Robust-Type Estimation for Covariate Adjustment in Latent Variable Modeling
Author
Abstract
Suggested Citation
DOI: 10.1007/s11336-007-9007-2
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Duncan, Gregory M., 1987. "A simplified approach to M-estimation with application to two-stage estimators," Journal of Econometrics, Elsevier, vol. 34(3), pages 373-389, March.
- William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
- Heejung Bang & James M. Robins, 2005. "Doubly Robust Estimation in Missing Data and Causal Inference Models," Biometrics, The International Biometric Society, vol. 61(4), pages 962-973, December.
- J. F. Lawless & J. D. Kalbfleisch & C. J. Wild, 1999. "Semiparametric methods for response‐selective and missing data problems in regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(2), pages 413-438, April.
- Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
- P. Bentler, 1983. "Some contributions to efficient statistics in structural models: Specification and estimation of moment structures," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 493-517, December.
- K. Jöreskog, 1971. "Simultaneous factor analysis in several populations," Psychometrika, Springer;The Psychometric Society, vol. 36(4), pages 409-426, December.
- Takahiro Hoshino & Hiroshi Kurata & Kazuo Shigemasu, 2006. "A Propensity Score Adjustment for Multiple Group Structural Equation Modeling," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 691-712, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Takahiro Hoshino & Yuya Shimizu, 2019. "Doubly Robust-type Estimation of Population Moments and Parameters in Biased Sampling," Keio-IES Discussion Paper Series 2019-006, Institute for Economics Studies, Keio University.
- Kei Miyazaki & Takahiro Hoshino & Shin-ichi Mayekawa & Kazuo Shigemasu, 2009. "A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 1-19, March.
- Kazuki Kamimura & Shohei Okamoto & Kenichi Shiraishi & Kazuto Sumita & Kohei Komamura & Akiko Tsukao & Shinya Kuno, 2023. "Financial incentives for exercise and medical care costs," International Journal of Economic Policy Studies, Springer, vol. 17(1), pages 95-116, February.
- Sakaue, Katsuki & Wokadala, James, 2022. "Effects of including refugees in local government schools on pupils’ learning achievement: Evidence from West Nile, Uganda," International Journal of Educational Development, Elsevier, vol. 90(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Takahiro Hoshino & Hiroshi Kurata & Kazuo Shigemasu, 2006. "A Propensity Score Adjustment for Multiple Group Structural Equation Modeling," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 691-712, December.
- Hoshino, Takahiro, 2008. "A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1413-1429, January.
- Hoshino, Takahiro, 2008. "Bayesian significance testing and multiple comparisons from MCMC outputs," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3543-3559, March.
- Holger Steinmetz & Peter Schmidt & Andrea Tina-Booh & Siegrid Wieczorek & Shalom Schwartz, 2009. "Testing measurement invariance using multigroup CFA: differences between educational groups in human values measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(4), pages 599-616, July.
- Jonathan M. Turk, 2019. "Estimating the Impact of Developmental Education on Associate Degree Completion: A Dose–Response Approach," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(8), pages 1090-1112, December.
- Pilar Rivera & Albert Satorra, 2000. "Country effects in ISSP-1993 environmental data: Comparison of SEM approaches," Economics Working Papers 458, Department of Economics and Business, Universitat Pompeu Fabra.
- Eldad Davidov & Felix Depner, 2011. "Testing for measurement equivalence of human values across online and paper-and-pencil surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 375-390, February.
- Sebastian Calonico & Rafael Di Tella & Juan Cruz Lopez Del Valle, 2022. "Causal Inference During a Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina," NBER Working Papers 30084, National Bureau of Economic Research, Inc.
- Bengt Muthén, 1989. "Latent variable modeling in heterogeneous populations," Psychometrika, Springer;The Psychometric Society, vol. 54(4), pages 557-585, September.
- Adam Carle, 2010. "Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(3), pages 483-497, April.
- Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.
- Antonio R. Linero, 2023. "Prior and posterior checking of implicit causal assumptions," Biometrics, The International Biometric Society, vol. 79(4), pages 3153-3164, December.
- Scholderer, Joachim & Grunert, Klaus G. & Brunso, Karen, 2005. "A procedure for eliminating additive bias from cross-cultural survey data," Journal of Business Research, Elsevier, vol. 58(1), pages 72-78, January.
- Frewer, Lynn & Scholderer, Joachim & Downs, Clive & Bredahl, Lone, 2000. "Communicating about the risks and benefits of genetically modified foods. Effects of different information strategies," MAPP Working Papers 71, University of Aarhus, Aarhus School of Business, The MAPP Centre.
- Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
- Johan Oud & Manuel Voelkle, 2014. "Do missing values exist? Incomplete data handling in cross-national longitudinal studies by means of continuous time modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3271-3288, November.
- Liat Ayalon, 2018. "Perceived Age Discrimination: A Precipitator or a Consequence of Depressive Symptoms?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(5), pages 860-869.
- Sant’Anna, Pedro H.C. & Zhao, Jun, 2020.
"Doubly robust difference-in-differences estimators,"
Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
- Pedro H. C. Sant'Anna & Jun B. Zhao, 2018. "Doubly Robust Difference-in-Differences Estimators," Papers 1812.01723, arXiv.org, revised May 2020.
- FeCheng Ma & Farhan Khan & Kashif Ullah Khan & Si XiangYun, 2021. "Investigating the Impact of Information Technology, Absorptive Capacity, and Dynamic Capabilities on Firm Performance: An Empirical Study," SAGE Open, , vol. 11(4), pages 21582440211, November.
- Ihsana Sabriani Borualogo & Ferran Casas, 2023. "Bullying Victimisation and Children’s Subjective Well-being: A Comparative Study in Seven Asian Countries," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(1), pages 1-27, February.
More about this item
Keywords
causal inference; marginal model; Monte Carlo method; propensity score; structural equation modeling;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:72:y:2007:i:4:p:535-549. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.