Notice: On March 31, it was **announced** that Statalist is moving from an email list to a **forum**. The old list will shut down on April 23, and its replacement, **statalist.org** is already up and running.

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

From |
Sukesh Patro <kksp.stata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Different coefficient magnitudes in ols and 2sls estimation |

Date |
Thu, 22 Apr 2010 11:14:04 -0500 |

Hi, I am estimating the following prediction model: Y1 = a0 + a1*Y2 + a2*X1 + a3*X2 + e I have theoretical grounds to expect that Y2 could be endogenous and jointly determined with Y1. Therefore, in addition to estimating the above model using OLS, I also estimate the following system using 2SLS (I use ivreg2). Y1 = a0 + a1*Y2 + a2*X1 + a3*X2 +e Y2 = b0 + b1*Y1 + b2*Z1 + b2*Z1 + b3*X2 + v The main problem we have is that the coefficient on Y2 in OLS is significantly smaller than the coefficient in 2SLS. The following are coefficients on Y2 using the OLS and 2SLS. Coefficient OLS 0.200 (t=3.00) Coefficient 2SLS 2.000 (t=2.50) I checked the distribution of Y2 and the predicted value of Y2 from the Y2 model (Y2-hat), and noticed that while the mean value of Y2-hat is very similar to the mean value of Y2, the variance of Y2-hat is significantly smaller than the variance of Y2. Y2 has a Mean 0.30 Median 0 Variance 0.200 Y2-hat has a Mean 0.30 Median 0.30 Variance 0.002 My question is about the implication of the larger coefficient on Y2 in 2SLS. Does the smaller variance of Y2-hat explain the larger coefficient size? Does the significantly smaller variance of Y2-hat, suggest a problem of weak instrument variable? Alternatively, does it suggest a problem associated with errors in the raw variable, Y2? That is, the significantly smaller coefficient in the OLS estimate is attributable to large errors in Y2? Which estimation is more reliable, OLS or 2SLS? I also estimated the two equations using a SUR regression found the magnitude of the coefficient estimates under SUR to be closer to those under OLS. Thanks much for your help in gaining clarity on this problem. SSKP * * 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/

**Follow-Ups**:**st: RE: Different coefficient magnitudes in ols and 2sls estimation***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

- Prev by Date:
**st: AW: Using egen and by efficiently when some observations are missing** - Next by Date:
**Re: st: Problem parsing strings that contain "$CHAR"** - Previous by thread:
**st: leading zeros with decimals** - Next by thread:
**st: RE: Different coefficient magnitudes in ols and 2sls estimation** - Index(es):