IDEAS home Printed from https://ideas.repec.org/a/erh/journl/v1y2009i1p18-27.html

What Now? Some Brief Reflections on Model-Free Data Analysis

Author

Listed:
  • Richard Berk

Abstract

No abstract is available for this item.

Suggested Citation

  • Richard Berk, 2009. "What Now? Some Brief Reflections on Model-Free Data Analysis," International Econometric Review (IER), Economic Research Association, vol. 1(1), pages 18-27, April.
  • Handle: RePEc:erh:journl:v:1:y:2009:i:1:p:18-27
    as

    Download full text from publisher

    File URL: https://dergipark.org.tr/tr/pub/ier/issue/26411/278077
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klaus Nordhausen, 2009. "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman," International Statistical Review, International Statistical Institute, vol. 77(3), pages 482-482, December.
    2. James J. Heckman, 2000. "Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 45-97.
    3. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    4. Kenneth W. Wachter & David A. Freedman, 2000. "Measuring Local Heterogeneity with 1990 U.S. Census Data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(10).
    5. Leeb, Hannes & Pötscher, Benedikt M., 2008. "Can One Estimate The Unconditional Distribution Of Post-Model-Selection Estimators?," Econometric Theory, Cambridge University Press, vol. 24(2), pages 338-376, April.
    6. Leeb, Hannes & Pötscher, Benedikt M., 2005. "Model Selection And Inference: Facts And Fiction," Econometric Theory, Cambridge University Press, vol. 21(1), pages 21-59, February.
    7. D. A. Freedman & P. B. Stark & K. W. Wachter, 2001. "A probability model for census adjustment," Mathematical Population Studies, Taylor & Francis Journals, vol. 9(2), pages 165-180.
    8. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Richard Berk, 2010. "What You Can and Can’t Properly Do with Regression," Journal of Quantitative Criminology, Springer, vol. 26(4), pages 481-487, December.
    2. Farrell, Max H., 2015. "Robust inference on average treatment effects with possibly more covariates than observations," Journal of Econometrics, Elsevier, vol. 189(1), pages 1-23.
    3. Toro, Weily & Tigre, Robson & Sampaio, Breno, 2015. "Daylight Saving Time and incidence of myocardial infarction: Evidence from a regression discontinuity design," Economics Letters, Elsevier, vol. 136(C), pages 1-4.
    4. Wan, Alan T.K. & Zhang, Xinyu & Zou, Guohua, 2010. "Least squares model averaging by Mallows criterion," Journal of Econometrics, Elsevier, vol. 156(2), pages 277-283, June.
    5. repec:jdm:journl:v:17:y:2022:i:6:p:1176-1207 is not listed on IDEAS
    6. Zhao, Chuanmin & Qu, Xi & Luo, Shougui, 2019. "Impact of the InnoCom program on corporate innovation performance in China: Evidence from Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 103-118.
    7. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    8. Leeb, Hannes & Pötscher, Benedikt M., 2008. "Can One Estimate The Unconditional Distribution Of Post-Model-Selection Estimators?," Econometric Theory, Cambridge University Press, vol. 24(2), pages 338-376, April.
    9. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2011. "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls," Papers 1201.0224, arXiv.org, revised May 2012.
    10. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2013. "Uniform post selection inference for LAD regression and other z-estimation problems," CeMMAP working papers CWP74/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Philipp Ketz, 2022. "Allowing for weak identification when testing GARCH-X type models," Papers 2210.11398, arXiv.org.
    12. Jeff Borland & Yi-Ping Tseng & Roger Wilkins, 2005. "Experimental and Quasi-Experimental Methods of Microeconomic Program and Policy Evaluation," Melbourne Institute Working Paper Series wp2005n08, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    13. Alexandre Belloni & Victor Chernozhukov & Ying Wei, 2013. "Honest confidence regions for a regression parameter in logistic regression with a large number of controls," CeMMAP working papers 67/13, Institute for Fiscal Studies.
    14. Su, Jiun-Hua, 2021. "Model selection in utility-maximizing binary prediction," Journal of Econometrics, Elsevier, vol. 223(1), pages 96-124.
    15. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert J. & Smith, Jeffrey A. & Taylor, Evan J., 2015. "Simple Tests for Selection Bias: Learning More from Instrumental Variables," IZA Discussion Papers 9346, IZA Network @ LISER.
    16. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    17. Karthik Muralidharan & Mauricio Romero & Kaspar Wüthrich, 2025. "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," The Review of Economics and Statistics, MIT Press, vol. 107(3), pages 589-604, May.
    18. George Planiteros, 2022. "Reverse matching for ex-ante policy evaluation," DEOS Working Papers 2206, Athens University of Economics and Business.
    19. Shroff, Ravi & Vamvourellis, Konstantinos, 2022. "Pretrial release judgments and decision fatigue," LSE Research Online Documents on Economics 117579, London School of Economics and Political Science, LSE Library.
    20. Christian Dudel & Julian Schmied, 2019. "Pension adequacy standards: an empirical estimation strategy and results for the United States and Germany," MPIDR Working Papers WP-2019-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    21. Timothy B. Armstrong & Michal Kolesár, 2018. "Optimal Inference in a Class of Regression Models," Econometrica, Econometric Society, vol. 86(2), pages 655-683, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:erh:journl:v:1:y:2009:i:1:p:18-27. 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: Admin (email available below). General contact details of provider: https://edirc.repec.org/data/eratrtr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.