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RCTABLE: Stata module to create a table used in randomized controlled trials


  • Adrien Bouguen

    () (University of California Berkeley)


rctable creates a simple table to be used mainly in Randomized Controlled Trials or in experimental settings where a treatment group is compared to a comparison group. rctable creates a table in your dataset and, if save option is specified, exports the table in an excel, csv or text format. The variables created are then dropped. Beware, the save option includes a replace suboption by default. Without option save, rctable just run the regressions. The table created has dependent variables in rows and has 7 columns: dependent variable names (VAR), dependent variable labels (LAB), number of observations (N_ind), number of clusters (N_clust), the average of the two groups (AV), the control average (C), the difference between treatment and control (T-C). The csv or text document created with option save can readily be used. It can also be linked to a xls or xlsx document. That way, the xls or xlsx document can be formatted and edited independently while the csv can be updated.

Suggested Citation

  • Adrien Bouguen, 2014. "RCTABLE: Stata module to create a table used in randomized controlled trials," Statistical Software Components S457799, Boston College Department of Economics, revised 11 Jun 2019.
  • Handle: RePEc:boc:bocode:s457799
    Note: This module should be installed from within Stata by typing "ssc install rctable". Windows users should not attempt to download these files with a web browser.

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    Cited by:

    1. Ponomarev, Yuriy (Пономарев, Юрий) & Rey, Aleksey (Рей, Алексей) & Radchenko, Darya (Радченко, Дарья), 2018. "Investigation of the Relationship between the Intensity of International Trade and the Volatility of Paired Exchange Rates of the Russian Federation and its Trading Partners
      [Исследование Взаимосвя
      ," Working Papers 061823, Russian Presidential Academy of National Economy and Public Administration.
    2. Leandro Medina, 2012. "Spring Forward or Fall Back? The Post-Crisis Recovery of Firms," IMF Working Papers 12/292, International Monetary Fund.
    3. Baggs, Jen & Fung, Loretta & Lapham, Beverly, 2018. "Exchange rates, cross-border travel, and retailers: Theory and empirics," Journal of International Economics, Elsevier, vol. 115(C), pages 59-79.
    4. Robert J. Hill & Alice O. Nakamura, 2010. "Improving Inflation And Related Performance Measures For Nations: An Introduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 1-10, June.
    5. Jen Baggs & Eugene Beaulieu & Loretta Fung & Beverly Lapham, 2016. "Firm Dynamics in Retail Trade: The Response of Canadian Retailers to Exchange Rate Shocks," Review of International Economics, Wiley Blackwell, vol. 24(3), pages 635-666, August.
    6. Toraganlı, Nazlı & Yazgan, M. Ege, 2016. "Exchange rates and firm survival: An examination with Turkish firm-level data," Economic Systems, Elsevier, vol. 40(3), pages 433-443.


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