IDEAS home Printed from https://ideas.repec.org/p/cla/uclawp/282.html
   My bibliography  Save this paper

Consistent Sets of Estimates

Author

Listed:
  • Steven Klepper

    (UCLA)

  • Edward E. Leamer

    (UCLA)

Abstract

No abstract is available for this item.

Suggested Citation

  • Steven Klepper & Edward E. Leamer, 1982. "Consistent Sets of Estimates," UCLA Economics Working Papers 282, UCLA Department of Economics.
  • Handle: RePEc:cla:uclawp:282
    as

    Download full text from publisher

    File URL: http://www.econ.ucla.edu/workingpapers/wp282.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Goldberger, Arthur S, 1972. "Structural Equation Methods in the Social Sciences," Econometrica, Econometric Society, vol. 40(6), pages 979-1001, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salois, Matthew J. & Livanis, Grigorios T. & Moss, Charles B., 2006. "Estimation of Production Functions using Average Data," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35401, Southern Agricultural Economics Association.
    2. Jonung, Lars & Fregert, Klas, 2008. "Inflation Targeting Is a Success, So Far: 100 Years of Evidence from Swedish Wage Contracts," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-25.
    3. Yingyao Hu & Arthur Lewbel & Susanne M. Schennach, 2007. "Nonparametric identification of the classical errors-in-variables model without side information," CeMMAP working papers CWP14/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    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. Mao, Lu, 2022. "Identification of the outcome distribution and sensitivity analysis under weak confounder–instrument interaction," Statistics & Probability Letters, Elsevier, vol. 189(C).
    2. Francesco Agostinelli & Matthew Wiswall, 2016. "Identification of Dynamic Latent Factor Models: The Implications of Re-Normalization in a Model of Child Development," NBER Working Papers 22441, National Bureau of Economic Research, Inc.
    3. Magnusson, Leandro M. & Tarverdi, Yashar, 2020. "Measuring governance: Why do errors matter?," World Development, Elsevier, vol. 136(C).
    4. George Halkos & Kyriaki Tsilika, 2015. "Programming Identification Criteria in Simultaneous Equation Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 157-170, June.
    5. Zhuanglin Ma & Mingjie Luo & Steven I-Jy Chien & Dawei Hu & Xue Zhao, 2020. "Analyzing drivers’ perceived service quality of variable message signs (VMS)," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    6. Christopher L. Gilbert & Duo Qin, 2005. "The First Fifty Years of Modern Econometrics," Working Papers 544, Queen Mary University of London, School of Economics and Finance.
    7. Hongjun Cui & Mingzhi Li & Minqing Zhu & Xinwei Ma, 2023. "Investigating the Impacts of Urban–Rural Bus Service Quality on Rural Residents’ Travel Choices Using an SEM–MNL Integration Model," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    8. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    9. Andrew K. Rose & Mark M. Spiegel, 2010. "Cross‐Country Causes And Consequences Of The 2008 Crisis: International Linkages And American Exposure," Pacific Economic Review, Wiley Blackwell, vol. 15(3), pages 340-363, August.
    10. Jorgensen, Bradley S. & Wilson, Mathew A. & Heberlein, Thomas A., 2001. "Fairness in the contingent valuation of environmental public goods: attitude toward paying for environmental improvements at two levels of scope," Ecological Economics, Elsevier, vol. 36(1), pages 133-148, January.
    11. Jiang, Xiaomo & Mahadevan, Sankaran, 2009. "Bayesian structural equation modeling method for hierarchical model validation," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 796-809.
    12. Joshua D. Angrist & Guido W. Imbens & D.B. Rubin, 1993. "Identification of Causal Effects Using Instrumental Variables," NBER Technical Working Papers 0136, National Bureau of Economic Research, Inc.
    13. Bouchouicha, Ranoua & L’Haridon, Olivier & Vieider, Ferdinand M., 2024. "Law and economic behaviour," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 253-270.
    14. Kwamena K. Quagrainie & Jill J. McCluskey & Maria L. Loureiro, 2003. "A Latent Structure Approach to Measuring Reputation," Southern Economic Journal, John Wiley & Sons, vol. 69(4), pages 966-977, April.
    15. Gao, Jianbo & Hu, Jing, 2014. "Financial crisis, Omori's law, and negative entropy flow," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 79-86.
    16. Farzanegan, Mohammad Reza, 2009. "Illegal trade in the Iranian economy: Evidence from a structural model," European Journal of Political Economy, Elsevier, vol. 25(4), pages 489-507, December.
    17. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    18. Karim Chalak & Halbert White, 2011. "Viewpoint: An extended class of instrumental variables for the estimation of causal effects," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(1), pages 1-51, February.
    19. Carneiro, Pedro & Hansen, Karsten & Heckman, James, 2003. "Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice," Working Paper Series 2003:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    20. Vasilis Sarafidis & Tom Wansbeek, 2012. "Cross-Sectional Dependence in Panel Data Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 483-531, September.

    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:cla:uclawp:282. 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: David K. Levine (email available below). General contact details of provider: http://www.econ.ucla.edu/ .

    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.