IDEAS home Printed from https://ideas.repec.org/p/ris/nobelp/2021_004.html

Empirical strategies in economics: Illuminating the path from cause to effect

Author

Listed:
  • Joshua Angrist

    (MIT)

Abstract

Youtube video of the Nobel prize lecture

Suggested Citation

  • Joshua Angrist, 2021. "Empirical strategies in economics: Illuminating the path from cause to effect," Nobel Prize in Economics documents 2021-4, Nobel Prize Committee.
    • Handle: RePEc:ris:nobelp:2021_004
    as

    Download full text from publisher

    File URL: https://www.nobelprize.org/prizes/economic-sciences/2021/angrist/lecture/
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Minghui Fu & Chuanjiang Liu & Yuting Ma & Liukun Wang, 2022. "Does City Public Service Distance Increase Sense of Gain to Public Health Service? Evidence from 1394 Migrant Workers in Six Provinces," IJERPH, MDPI, vol. 19(10), pages 1-20, May.
    3. Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2025. "Model Averaging and Double Machine Learning," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(3), pages 249-269, April.
    4. Mogstad, Magne & Torgovitsky, Alexander, 2024. "Instrumental variables with unobserved heterogeneity in treatment effects," Handbook of Labor Economics,, Elsevier.
    5. Tello, Witson Peña, 2025. "Policy interactions and electricity generation sector CO2 emissions: A quasi-experimental analysis," Energy Policy, Elsevier, vol. 198(C).
    6. Zheng, Xiaodong & Zhou, Yanran, 2025. "Earlier move, greater joy: Migration timing and subjective well-being among rural migrants in China," Economic Modelling, Elsevier, vol. 145(C).
    7. Michael Lechner, 2023. "Causal Machine Learning and its use for public policy," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 159(1), pages 1-15, December.
    8. Tan, Xiujie & Xiao, Ziwei & Liu, Yishuang & Taghizadeh-Hesary, Farhad & Wang, Banban & Dong, Hanmin, 2022. "The effect of green credit policy on energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • J00 - Labor and Demographic Economics - - General - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ris:nobelp:2021_004. 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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Team (email available below). General contact details of provider: https://www.nobelprize.org/ .

    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.