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XTIVREG28: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models (version 8)

Author

Listed:
  • Mark E Schaffer

    () (Heriot-Watt University)

Abstract

xtivreg28 implements IV/GMM estimation of the fixed-effects and first-differences panel data models with possibly endogenous regressors. It is essentially a wrapper for ivreg28, which must be installed for xtivreg28 to run. Users of Stata versions 9+ should use xtivreg2. xtivreg28 supports all the estimation and reporting options of ivreg28; see help ivreg28 for full descriptions and examples. In particular, all the statistics available with ivreg28 (heteroskedastic, cluster- and autocorrelation-robust covariance matrix and standard errors, overidentification and orthogonality tests, first-stage and weak/underidentification statistics, etc.) are also supported by xtivreg2 and will be reported with any degrees-of-freedom adjustments required for a panel data estimation.

Suggested Citation

  • Mark E Schaffer, 2012. "XTIVREG28: Stata module to perform extended IV/2SLS, GMM and AC/HAC, LIML and k-class regression for panel data models (version 8)," Statistical Software Components S457436, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s457436
    Note: This module should be installed from within Stata by typing "ssc install xtivreg28". Windows users should not attempt to download these files with a web browser.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/x/xtivreg28.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/x/xtivreg28.hlp
    File Function: help file
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/x/xtivreg2_p.ado
    File Function: program code
    Download Restriction: no

    Citations

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    Cited by:

    1. de Mello Luiz & Moccero Diego & Mogliani Matteo, 2013. "Do Latin American Central Bankers Behave Non-Linearly? The Experiences of Brazil, Chile, Colombia and Mexico," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 141-165, April.
    2. María Cuenca Coral, Felipe Amaya, Bryan Castrillón, 2015. "La política monetaria y el crecimiento económico en Colombia, 1990-2010," REVISTA CIFE, UNIVERSIDAD SANTO TOMÁS, February.
    3. Carlos Fernando Daza Moreno & Jorge Mario Uribe, 2016. "Efectos de los cambios de la tasa de interés de Estados Unidos sobre Colombia, Perú y Chile," REVISTA DE ECONOMÍA DEL CARIBE 014794, UNIVERSIDAD DEL NORTE.
    4. Andrés Felipe Londoño & Jorge Andrés Tamayo & Carlos Alberto Velásquez, 2012. "Dinámica de la política monetaria e inflación objetivo en Colombia: una aproximación FAVAR," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 30(68), pages 14-71, June.
    5. Pavel Vidal & Gilberto Ramírez & Lya Paola Sierra, 2018. "¿Por qué el Valle del Cauca ha crecido más que el promedio nacional? Un análisis regional de los ciclos y los choques económicos," Working Papers 33, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.
    6. Franz Hamann & Juan Manuel Julio & Paulina Restrepo & Alvaro Jose Riascos Villegas, 2004. "Inflation Targeting In A Small Open Economy: The Colombian Case," BORRADORES DE ECONOMIA 002855, BANCO DE LA REPÚBLICA.
    7. Luiz De Mello & Diego Moccero, 2009. "Monetary Policy and Inflation Expectations in Latin America: Long-Run Effects and Volatility Spillovers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1671-1690, December.
    8. Franz Hamann Salcedo & Juan Manuel Julio & Paulina Restrepo, 2004. "Inflation Targeting in a Samll Open Economy: The Colombian Case," Borradores de Economia 308, Banco de la Republica de Colombia.

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