IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/15022.html
   My bibliography  Save this book chapter

A Simulation-Based Method to Estimating Economic Models with Privacy-Protected Data

In: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences

Author

Listed:
  • Jung Sakong
  • Alexander K. Zentefis

Abstract

No abstract is available for this item.

Suggested Citation

  • Jung Sakong & Alexander K. Zentefis, 2024. "A Simulation-Based Method to Estimating Economic Models with Privacy-Protected Data," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:15022
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c15022.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paulo Guimarães & Pedro Portugal, 2010. "A simple feasible procedure to fit models with high-dimensional fixed effects," Stata Journal, StataCorp LLC, vol. 10(4), pages 628-649, December.
    2. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    3. Jerome Adda & Russell W. Cooper, 2003. "Dynamic Economics: Quantitative Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262012014, December.
    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. Zhao, Jake, 2020. "Accounting for the corporate cash increase," European Economic Review, Elsevier, vol. 123(C).
    2. Daron Acemoglu & Ufuk Akcigit & Douglas Hanley & William Kerr, 2016. "Transition to Clean Technology," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 52-104.
    3. Sergio Parra Cely, 2009. "Costos de inflación en un modelo de búsqueda monetaria con formación endógena de precios: el caso colombiano," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 27(59), pages 46-82, June.
    4. Fabio Blasutto, 2024. "Cohabitation vs. Marriage: Mating Strategies by Education in The USA," Journal of the European Economic Association, European Economic Association, vol. 22(4), pages 1723-1761.
    5. Hamish Low & Costas Meghir, 2017. "The Use of Structural Models in Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 33-58, Spring.
    6. Douglas Hanley & Daron Acemoglu & Ufuk Akcigit & William Kerr, 2014. "Transition to Clean Technology," Working Paper 534, Department of Economics, University of Pittsburgh, revised Jan 2014.
    7. Gabriel Ulyssea, 2018. "Firms, Informality, and Development: Theory and Evidence from Brazil," American Economic Review, American Economic Association, vol. 108(8), pages 2015-2047, August.
    8. Schündeln, Matthias, 2005. "Modeling Firm Dynamics to Identify the Cost of Financing Constraints in Ghanaian Manufacturing," Proceedings of the German Development Economics Conference, Kiel 2005 29, Verein für Socialpolitik, Research Committee Development Economics.
    9. Lapatinas Athanasios, 2012. "On the Interrelation of Capital and Labor Adjustment Costs at the Firm Level," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-36, September.
    10. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    11. Isaiah Andrews & Anna Mikusheva, 2016. "Conditional Inference With a Functional Nuisance Parameter," Econometrica, Econometric Society, vol. 84, pages 1571-1612, July.
    12. Hansen, Lars Peter & Heaton, John & Luttmer, Erzo G J, 1995. "Econometric Evaluation of Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 237-274.
    13. Oleksandr Shcherbakov, 2022. "Firm‐level investment under imperfect capital markets in Ukraine," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(1), pages 227-255, February.
    14. Rania Gihleb & Osnat Lifshitz, 2022. "Dynamic Effects of Educational Assortative Mating on Labor Supply," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 302-327, October.
    15. Fontagné, Lionel & Orefice, Gianluca & Piermartini, Roberta & Rocha, Nadia, 2015. "Product standards and margins of trade: Firm-level evidence," Journal of International Economics, Elsevier, vol. 97(1), pages 29-44.
    16. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    17. Nilsen, Øivind Anti & Raknerud, Arvid & Skjerpen, Terje, 2011. "Using the Helmert-transformation to reduce dimensionality in a mixed model: Application to a wage equation with worker and firm heterogeneity," Discussion Paper Series in Economics 11/2011, Norwegian School of Economics, Department of Economics, revised 04 Oct 2011.
    18. Jason Matthew DeBacker, 2015. "Flip‐Flopping: Ideological Adjustment Costs In The United States Senate," Economic Inquiry, Western Economic Association International, vol. 53(1), pages 108-128, January.
    19. Florencia Gabrielli, 2014. "Econometrics of First Price Auctions: a Survey of the Theoretical and Applied Literature," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 60, pages 77-118, January-D.
    20. RUGE-MURCIA, Francisco J., 2010. "Estimating Nonlinear DSGE Models by the Simulated Method of Moments," Cahiers de recherche 2010-10, Universite de Montreal, Departement de sciences economiques.

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General

    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:nbr:nberch:15022. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.