Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down at the end of May, and its replacement, **statalist.org** is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Bond Tiger <bond0910@ymail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: st. Simultaneous Equations Model & GMM Estimation |

Date |
Sun, 18 Jul 2010 08:48:39 -0700 (PDT) |

Thank you very much Dr. Baum for your response. This is what I have understood from your response, please correct me if I am wrong...... (1) It would not matter if I use system estimation technique but test my instruments in a single equation setup. (2) I may not have to test for endogeneity of the regressors (Y1 and Y2) in the single equation setup as by model specification itself I have considered the regressors to be endogenous. I may consider estimating the equations simultaneously, otherwise if single equation estimation is considered efficiency may be lost. Also I may have the following situations: (A) I may consider Seemingly Unrelated Regression (SUR) equations, in which case I may have different sets of explanatory variables in both the equations but the disturbance terms in both the equations may be correlated (may be some unconsidered factors influence the disturbance terms in both the equations) and then estimating all the equations simultaneously taking the covariance structure of the residuals into account would lead to efficient estimates of parameters. Otherwise, single equation estimation would lead to inefficient estimates. (B) If I consider cross-equation parameter restrictions (in case both the equations have common explanatory variables), then also the only way to test or impose these restrictions is in a simultaneous equations setup. Therefore, not ruling out (A) and (B), I may finally estimate both the equations simultaneously. (3) So is there any code in STATA for SYSTEM ESTIMATION? Thank you once again for you response. Regards, Bond ----- Original Message ---- From: Christopher Baum <kit.baum@bc.edu> To: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> Sent: Sun, July 18, 2010 6:05:27 AM Subject: Re: st: st. Simultaneous Equations Model & GMM Estimation <> On Jul 18, 2010, at 2:33 AM, Bond wrote: > I am using a simultaneous equations model and IV-GMM estimation technique > (2-step GMM or continuously updated GMM) to estimate the following equations: > > (1) Y1=a0+a1*Y2+a2*K+E1, > (2) Y2=b0+b1*Y1+b2*L+E2, > > L & K are other exogenous variables and E1 & E2 are independent errors. Y2 > is the regressor in (1) & Y1 is the regressor in (2). (I am using a > cross-section data.) > > I will estimate my model using both the equations simultaneously (NOT single > equation estimation). > > However, in order to test the instruments for each of my regressor (Y1 and Y2), > I am using single equation setup (one equation at a time).The set of IVs for Y1 > and Y2 are different (containing different instruments) and both the sets are > passing the orthogonality conditions, overidentifying restriction test and weak > identification tests in the single equation setup, implying that my IVs are > relevant and can very well identify the equations. In the single equation > setup, I have also tested for endogeneity of my regressors (Y1 & Y2) and > found neither of the regressor to be endogenous in the single equation setup. > > > Now, my actual model is a SIMULTANEOUS EQUATION model where I am trying to > estimate both the equations jointly. In the simultaneous equation model my > regressors are endogenous by model specification, therefore, I am using IV-GMM > estimation (i.e. instrumental variable GMM technique). Also in my model, I >could > > detect the presence of heteroskedasticity and therefore GMM is more efficient > than 2SLS. So my questions are: > > (A) Can I test the IVs in a single equation setup (where neither of the > regressor is endogenous) and then use those instruments in jointly estimating > the 2 equations in the simultaneous equations framework? > > (B) Is there any way I can test the IVs in a simultaneous equations setup >(using > > both the equations)? If yes, could you advice me some references or codes in > STATA or SAS or MATLAB. > > (C) Can I use instrumental variable GMM to estimate the simultaneous equations > model in which the regressors are endogenous by model specification? Just because these are simultaneous equations, there is no need to apply systems estimation techniques to estimate them. You can use single-equation techniques (such as SSC's -ivreg2-) to estimate them via IV-GMM. The only reason you would need a systems estimator is if you had cross-equation constraints on the parameters. Re (A), I don't understand what you mean by 'neither of the regressor is endogenous'. If you have set up the model properly, you are specifying that Y2 is endogenous in the Y1 equation, and vice versa. Re (B), as stated above, there is no need to do so. Re (C), as stated above: yes, you can estimate each equation with IV-GMM. Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.org/e/pba1.html An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.html * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**Re: st: st. Simultaneous Equations Model & GMM Estimation***From:*Christopher Baum <kit.baum@bc.edu>

- Prev by Date:
**Re: st: logistic regression predictors** - Next by Date:
**st: -xtfevd- with ar1** - Previous by thread:
**Re: st: st. Simultaneous Equations Model & GMM Estimation** - Next by thread:
**Re: Re: st: st. Simultaneous Equations Model & GMM Estimation** - Index(es):