Does it mean that for regressions with weak instruments, > I should focus on those IV robust test results (Anderson-Rubin and other - > weakiv- output) rather than the second stage estimate of standard errors in > interpreting the effect of the endogenous variable? It's up to you and your particular circumstances. -weakiv- calculates weak-instrument-robust tests of the coefficient(s) on the endogenous variable(s) in an instrumental variables (IV) estimation. These tests include the Anderson-Rubin (AR) test, Kleibergen's K test, and Moreira's conditional likelihood ratio (CLR) test, and are available for linear IV, IV probit and IV tobit models. $\begingroup$ Hi Dimitriy, thanks for the response! I've tried etregress now, and it gives somewhat similar results. However, reading the Stata manual and Wooldridge (2002): "Econometric analysis of cross section and panel data" I get the impression that this sort of treatment-regression model assumes ignorability of treatment. If it's specific to -robust-, maybe have a look at the Finlay-Magnusson 2009 SJ paper cited in the weakiv help file. They say at one point that: " For linear IV models under homoskedasticity, Andrews, Moreira, and Stock (2007) provide a formula for computing the p-value function of the CLR test (which is embedded in the condivreg command).

"WEAKIV10: Stata module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (IV) estimation of linear, probit and tobit models," Statistical Software Components S457910, Boston College Department of Economics. WEAKIV: Stata module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (IV) estimation of linear, probit and tobit models Keith Finlay , Leandro Magnusson ( ) and Mark Schaffer ( ) 1. What are Weak Instruments? 1 14.384 Time Series Analysis, Fall 2007 Professor Anna Mikusheva Paul Schrimpf, scribe Novemeber 13, 2007 corrected September 2012 Lecture Weak IV. This lecture extensively uses lectures given by Jim Stock as a part of mini-course at the NBER Summer Institute. 1. What are Weak Instruments?

If it's specific to -robust-, maybe have a look at the Finlay-Magnusson 2009 SJ paper cited in the weakiv help file. They say at one point that: " For linear IV models under homoskedasticity, Andrews, Moreira, and Stock (2007) provide a formula for computing the p-value function of the CLR test (which is embedded in the condivreg command). WEAKIV: Stata module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (IV) estimation of linear, probit and tobit models.

Dec 19, 2013 · You could double-check in that case against -condivreg-, which will report the CLR stat but only for the iid case. > > If it's specific to -robust-, maybe have a look at the Finlay-Magnusson 2009 SJ paper cited in the weakiv help file. * 2.0.03 4July2014 Errors in pre-weakiv estimation command now capture-d rather than quietly-ed. * Stata's built-in _rmcollright provided with Stata 12.1 (version 1.3.0 07apr2009) has * a bug that doesn't allow it to accept weights, so replaced it with weakiv_rmcollright

Dear Statalisters, I have a question about weakiv. I have tried to run some simulations to understand the performance of CLR test. But in the following code with 15 instruments and 1 endogenous regressor, the result seems to be far from what it should be. weakiv now requires Stata 11 or better. Users with Stata 10, or users who want to use the previous version of weakiv (1.0), can install weakiv10, also available from SSC. weakiv now requires Stata 11 or better. Users with Stata 10, or users who want to use the previous version of weakiv (1.0), can install weakiv10, also available from SSC.

1. What are Weak Instruments? 1 14.384 Time Series Analysis, Fall 2007 Professor Anna Mikusheva Paul Schrimpf, scribe Novemeber 13, 2007 corrected September 2012 Lecture Weak IV. This lecture extensively uses lectures given by Jim Stock as a part of mini-course at the NBER Summer Institute. 1. What are Weak Instruments? Fortunately, the authors of the popular xtabond2 and weakiv routines in Stata have recently added options that make it very easy to perform instrument strength diagnostics and generate weak instrument‐consistent confidence sets in the context of SYS‐GMM estimation.

If it's specific to -robust-, maybe have a look at the Finlay-Magnusson 2009 SJ paper cited in the weakiv help file. They say at one point that: " For linear IV models under homoskedasticity, Andrews, Moreira, and Stock (2007) provide a formula for computing the p-value function of the CLR test (which is embedded in the condivreg command). Instrumental Variables Estimation in Stata Christopher F Baum1 Faculty Micro Resource Center Boston College March 2007 1 Thanks to Austin Nichols for the use of his material on weak instruments and Mark Schaffer for helpful comments.

Dear Statalisters, I have a question about weakiv. I have tried to run some simulations to understand the performance of CLR test. But in the following code with 15 instruments and 1 endogenous regressor, the result seems to be far from what it should be. Keith Finlay & Leandro Magnusson & Mark E Schaffer, 2013. "WEAKIV: Stata module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (IV) estimation of linear, probit and tobit models," Statistical Software Components S457684, Boston College Department of Economics, revised 18 Oct 2016.

WEAKIV: Stata module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (IV) estimation of linear, probit and tobit models Keith Finlay , Leandro Magnusson ( ) and Mark Schaffer ( ) Bitbucket

*weakiv now requires Stata 11 or better. Users with Stata 10, or users who want to use the previous version of weakiv (1.0), can install weakiv10, also available from SSC. *

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in the Stata statistical software environment. Brief abstracts are provided below. Full details on the use of the programs along with examples and references are available after installation by using Stata's help system: help avar . help weakiv . help actest . help ivreg2h . help ranktest . help ivreg2 The built-in small-sample adjustment in -weakiv- is very simple: the chi-sq stat uses (N-L) instead of N, where L = #excluded instruments + #exogenous regressors + 1 for a constant (if included). Below is an illustration using the toy auto dataset. Instrumental Variables Estimation in Stata Christopher F Baum1 Faculty Micro Resource Center Boston College March 2007 1 Thanks to Austin Nichols for the use of his material on weak instruments and Mark Schaffer for helpful comments. Liyang Sun, 2018. "TWOSTEPWEAKIV: Stata module to implement two-step weak-instrument-robust confidence sets for linear instrumental-variable (IV) models," Statistical Software Components S458507, Boston College Department of Economics, revised 12 Jan 2019. Carolin E. Pflueger & Su Wang, 2013. "WEAKIVTEST: Stata module to perform weak instrument test for a single endogenous regressor in TSLS and LIML," Statistical Software Components S457732, Boston College Department of Economics, revised 09 Sep 2018. Bitbucket weakiv now requires Stata 11 or better. Users with Stata 10, or users who want to use the previous version of weakiv (1.0), can install weakiv10, also available from SSC. (2013) and introduces a new Stata routine weakivtest implementing this test. weakivtest is a postestimation routine for ivreg2 and ivregress.2 Weak instruments can bias point estimates and lead to substantial test size distortions (Nel-son and Startz(1990);Stock and Yogo(2005)). Departures from the homoskedastic serially Fortunately, the authors of the popular xtabond2 and weakiv routines in Stata have recently added options that make it very easy to perform instrument strength diagnostics and generate weak instrument‐consistent confidence sets in the context of SYS‐GMM estimation. Evertale awakening finn