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Implementing new econometric tools in Stata


  • Christopher F Baum

    () (Boston College
    DIW Berlin)


I discuss the implementation of two state-of-the-art econometric estimators in Stata. The first addresses the problem of estimating a binary response with one or more limited endogenous variables. Lewbel, Dong, and Yang (Canadian J. Econ., 2012) present a solution based on Lewbel's "special regressor" method, a version of which I have implemented in Stata as sspecialreg. The second considers the problem of estimating an equation with instrumental variables techniques where sufficient instruments may not be available. Lewbel (J. Bus. Econ. Stat., 2012) presents a solution based on generated instruments that take advantage of heteroskedasticity. I have implemented that routine as an extension of Baum, Schaffer, and Stillman's ivreg2 (Stata J., 2003, 2007) as ivreg2h. I will motivate these two extensions to Stata's econometric capabilities with illustrations of their use.

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  • Christopher F Baum, 2013. "Implementing new econometric tools in Stata," Mexican Stata Users' Group Meetings 2013 09, Stata Users Group.
  • Handle: RePEc:boc:msug13:09

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    References listed on IDEAS

    1. Garratt, Anthony & Lee, Kevin & Pesaran, M. Hashem & Shin, Yongcheol, 2012. "Global and National Macroeconometric Modelling: A Long-Run Structural Approach," OUP Catalogue, Oxford University Press, number 9780199650460.
    2. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Cited by:

    1. Beverelli, Cosimo & Boffa, Mauro & Keck, Alexander, 2014. "Trade policy substitution: Theory and evidence from Specific Trade Concerns," WTO Staff Working Papers ERSD-2014-18, World Trade Organization (WTO), Economic Research and Statistics Division.

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