Quantifying the Internal Validity of Weighted Estimands
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Poirier, Alexandre & Sloczynski, Tymon, 2025. "Quantifying the Internal Validity of Weighted Estimands," IZA Discussion Papers 17805, Institute of Labor Economics (IZA).
References listed on IDEAS
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023.
"Inference for Linear Conditional Moment Inequalities,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
- Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
- JoonHwan Cho & Thomas M. Russell, 2024. "Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 563-578, April.
- Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2024.
"Revisiting Event-Study Designs: Robust and Efficient Estimation,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(6), pages 3253-3285.
- Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2021. "Revisiting Event Study Designs: Robust and Efficient Estimation," Papers 2108.12419, arXiv.org, revised Jan 2024.
- Borusyak, Kirill & Jaravel, Xavier & Spiess, Jann, 2024. "Revisiting event-study designs: robust and efficient estimation," LSE Research Online Documents on Economics 123781, London School of Economics and Political Science, LSE Library.
- Borusyak, Kirill & Jaravel, Xavier & Spiess, Jann, 2022. "Revisiting Event Study Designs: Robust and Efficient Estimation," CEPR Discussion Papers 17247, C.E.P.R. Discussion Papers.
- Gregory Cox & Xiaoxia Shi, 2023.
"Simple Adaptive Size-Exact Testing for Full-Vector and Subvector Inference in Moment Inequality Models,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 201-228.
- Gregory Cox & Xiaoxia Shi, 2019. "Simple Adaptive Size-Exact Testing for Full-Vector and Subvector Inference in Moment Inequality Models," Papers 1907.06317, arXiv.org, revised Aug 2020.
- Xiaoxia Shi, 2022. "Simple adaptive size-exact testing for full-vector and subvector inference in moment inequality models," Economics Virtual Symposium 2022 09, Stata Users Group.
- Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2022. "Contamination Bias in Linear Regressions," Working Papers 2022-15, Princeton University. Economics Department..
- Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2024.
"Contamination Bias in Linear Regressions,"
American Economic Review, American Economic Association, vol. 114(12), pages 4015-4051, December.
- Paul Goldsmith-Pinkham & Peter Hull & Michal Koles'ar, 2021. "Contamination Bias in Linear Regressions," Papers 2106.05024, arXiv.org, revised Jun 2024.
- Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2022. "Contamination Bias in Linear Regressions," Working Papers 2022-15, Princeton University. Economics Department..
- Paul Goldsmith-Pinkham & Peter Hull & Michal Kolesár, 2022. "Contamination Bias in Linear Regressions," NBER Working Papers 30108, National Bureau of Economic Research, Inc.
- Sun, Liyang & Abraham, Sarah, 2021.
"Estimating dynamic treatment effects in event studies with heterogeneous treatment effects,"
Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
- Liyang Sun & Sarah Abraham, 2018. "Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects," Papers 1804.05785, arXiv.org, revised Sep 2020.
- Douglas L. Miller & Na’ama Shenhav & Michel Grosz, 2023.
"Selection into Identification in Fixed Effects Models, with Application to Head Start,"
Journal of Human Resources, University of Wisconsin Press, vol. 58(5), pages 1523-1566.
- Douglas L. Miller & Na’ama Shenhav & Michel Z. Grosz, 2019. "Selection into Identification in Fixed Effects Models, with Application to Head Start," NBER Working Papers 26174, National Bureau of Economic Research, Inc.
- Joshua D. Angrist, 1998.
"Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants,"
Econometrica, Econometric Society, vol. 66(2), pages 249-288, March.
- Joshua D. Angrist, 1995. "Estimating the Labor Market Impact of Voluntary Military Service Using Social Security Data on Military Applicants," NBER Working Papers 5192, National Bureau of Economic Research, Inc.
- Betsey Stevenson & Justin Wolfers, 2006.
"Bargaining in the Shadow of the Law: Divorce Laws and Family Distress,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(1), pages 267-288.
- Stevenson, Betsey & Wolfers, Justin, 2003. "Bargaining in the Shadow of the Law: Divorce Laws and Family Distress," Research Papers 1828, Stanford University, Graduate School of Business.
- Betsey Stevenson & Justin Wolfers, 2003. "Bargaining in the Shadow of the Law: Divorce Laws and Family Distress," NBER Working Papers 10175, National Bureau of Economic Research, Inc.
- Imbens, Guido W & Angrist, Joshua D, 1994.
"Identification and Estimation of Local Average Treatment Effects,"
Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
- Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
- Peter M. Aronow & Cyrus Samii, 2016. "Does Regression Produce Representative Estimates of Causal Effects?," American Journal of Political Science, John Wiley & Sons, vol. 60(1), pages 250-267, January.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Andrew Baker & Brantly Callaway & Scott Cunningham & Andrew Goodman-Bacon & Pedro H. C. Sant'Anna, 2025. "Difference-in-Differences Designs: A Practitioner's Guide," Papers 2503.13323, arXiv.org.
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.- Sloczynski, Tymon, 2018.
"A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands,"
IZA Discussion Papers
11866, Institute of Labor Economics (IZA).
- Tymon Sloczynski, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," Working Papers 125, Brandeis University, Department of Economics and International Business School.
- Peter Hull & Michal Kolesár & Christopher Walters, 2022.
"Labor by design: contributions of David Card, Joshua Angrist, and Guido Imbens,"
Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(3), pages 603-645, July.
- Peter Hull & Michal Koles'ar & Christopher Walters, 2022. "Labour by Design: Contributions of David Card, Joshua Angrist, and Guido Imbens," Papers 2203.16405, arXiv.org.
- Andrew Baker & Brantly Callaway & Scott Cunningham & Andrew Goodman-Bacon & Pedro H. C. Sant'Anna, 2025. "Difference-in-Differences Designs: A Practitioner's Guide," Papers 2503.13323, arXiv.org.
- Kirill Borusyak & Peter Hull & Xavier Jaravel, 2025.
"Design-based identification with formula instruments: a review,"
The Econometrics Journal, Royal Economic Society, vol. 28(1), pages 83-108.
- Kirill Borusyak & Peter Hull & Xavier Jaravel, 2023. "Design-Based Identification with Formula Instruments: A Review," NBER Working Papers 31393, National Bureau of Economic Research, Inc.
- Kirill Borusyak & Peter Hull & Xavier Jaravel, 2023. "Design-based identification with formula instruments: A review," CeMMAP working papers 12/23, Institute for Fiscal Studies.
- Borusyak, Kirill & Hull, Peter & Jaravel, Xavier, 2024. "Design-based identification with formula instruments: a review," LSE Research Online Documents on Economics 123848, London School of Economics and Political Science, LSE Library.
- Jiafeng Chen, 2021. "Nonparametric Treatment Effect Identification in School Choice," Papers 2112.03872, arXiv.org, revised Oct 2023.
- Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
- Bernardus F Nazar Van Doornik & Armando Gomes & David Schoenherr & Janis Skrastins, 2023. "Financial access and labor market outcomes: evidence from credit lotteries," BIS Working Papers 1071, Bank for International Settlements.
- Federico A. Bugni & Ivan A. Canay & Steve McBride, 2023. "Decomposition and Interpretation of Treatment Effects in Settings with Delayed Outcomes," Papers 2302.11505, arXiv.org, revised Sep 2024.
- Bhuller, Manudeep & Sigstad, Henrik, 2024.
"2SLS with multiple treatments,"
Journal of Econometrics, Elsevier, vol. 242(1).
- Manudeep Bhuller & Henrik Sigstad, 2022. "2SLS with Multiple Treatments," Papers 2205.07836, arXiv.org, revised May 2024.
- Alvarez, Luis A.F. & Toneto, Rodrigo, 2024. "The interpretation of 2SLS with a continuous instrument: A weighted LATE representation," Economics Letters, Elsevier, vol. 237(C).
- Nibbering, Didier & Oosterveen, Matthijs & Silva, Pedro Luís, 2022. "Clustered Local Average Treatment Effects: Fields of Study and Academic Student Progress," IZA Discussion Papers 15159, Institute of Labor Economics (IZA).
- Michael C. Knaus, 2024. "Treatment Effect Estimators as Weighted Outcomes," Papers 2411.11559, arXiv.org, revised Dec 2024.
- Arne Henningsen & Guy Low & David Wuepper & Tobias Dalhaus & Hugo Storm & Dagim Belay & Stefan Hirsch, 2024. "Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists," IFRO Working Paper 2024/03, University of Copenhagen, Department of Food and Resource Economics.
- Alberto Abadie & Susan Athey & Guido W. Imbens & Jeffrey M. Wooldridge, 2020. "Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis," Econometrica, Econometric Society, vol. 88(1), pages 265-296, January.
- Tymon Słoczyński, 2022.
"Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights,"
The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 501-509, May.
- Sloczynski, Tymon, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," IZA Discussion Papers 13283, Institute of Labor Economics (IZA).
- Tymon Sloczynski, 2020. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," CESifo Working Paper Series 8331, CESifo.
- Julius Schaper, 2025. "Residualised Treatment Intensity and the Estimation of Average Partial Effects," Papers 2502.10301, arXiv.org.
- Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2024.
"Revisiting Event-Study Designs: Robust and Efficient Estimation,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(6), pages 3253-3285.
- Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2021. "Revisiting Event Study Designs: Robust and Efficient Estimation," Papers 2108.12419, arXiv.org, revised Jan 2024.
- Borusyak, Kirill & Jaravel, Xavier & Spiess, Jann, 2024. "Revisiting event-study designs: robust and efficient estimation," LSE Research Online Documents on Economics 123781, London School of Economics and Political Science, LSE Library.
- Borusyak, Kirill & Jaravel, Xavier & Spiess, Jann, 2022. "Revisiting Event Study Designs: Robust and Efficient Estimation," CEPR Discussion Papers 17247, C.E.P.R. Discussion Papers.
- Leonard Goff, 2022. "Identifying causal effects with subjective ordinal outcomes," Papers 2212.14622, arXiv.org, revised Jan 2025.
- Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2021.
"Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey,"
Papers
2112.04565, arXiv.org, revised Jun 2022.
- Xavier d'Haultfoeuille, 2022. "Two-way fixed effects and difference in differences with heterogeneous treatment effects: A survey," French Stata Users' Group Meetings 2022 01, Stata Users Group.
- Clément de Chaisemartin & Xavier D’haultfœuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Post-Print hal-03873885, HAL.
- Clément de Chaisemartin & Xavier D’haultfœuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," SciencePo Working papers Main hal-03873885, HAL.
- Clément de Chaisemartin & Xavier D'Haultfoeuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," NBER Working Papers 29734, National Bureau of Economic Research, Inc.
- Clément de Chaisemartin & Xavier D'Haultfoeuille, 2022. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," NBER Working Papers 29691, National Bureau of Economic Research, Inc.
- David Card & Fabrizio Colella & Rafael Lalive, 2021.
"Gender Preferences in Job Vacancies and Workplace Gender Diversity,"
NBER Working Papers
29350, National Bureau of Economic Research, Inc.
- David Card & Fabrizio Colella & Rafael Lalive, 2023. "Gender Preferences in Job Vacancies and Workplace Gender Diversity," RF Berlin - CReAM Discussion Paper Series 2306, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
- Card, David & Colella, Fabrizio & Lalive, Rafael, 2021. "Gender Preferences in Job Vacancies and Workplace Gender Diversity," IZA Discussion Papers 14758, Institute of Labor Economics (IZA).
- Lalive, Rafael & Card, David & Colella, Fabrizio, 2021. "Gender Preferences in Job Vacancies and Workplace Gender Diversity," CEPR Discussion Papers 16619, C.E.P.R. Discussion Papers.
More about this item
JEL classification:
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2024-06-10 (Econometrics)
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:arx:papers:2404.14603. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.