[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
"Austin Nichols" <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: clarification on interpreting Stock&Yogo- maximal IV "size" |

Date |
Tue, 25 Sep 2007 09:59:51 -0400 |

Nirina F <fstata@gmail.com>: The IV estimate is always biased, but is less biased than OLS to the extent that identification is strong; in the limit of weak instruments, there would be no improvement over OLS in terms of bias and the bias would be 100% of OLS, and in the other limit, the bias would be zero percent. Clearly, you'd like to know where you are on that spectrum, even if only approximately. There is also a problem with the size of tests after IV--you think you are rejecting a hypothesis using a 5% alpha, but it is really 10% or 20%. Stock and Yogo did simulations to provide "rule of thumb" critical values (or rule of thumb "critical values" perhaps). Table 1 on page 39 of Stock and Yogo (http://ksghome.harvard.edu/~jstock/pdf/rfa_6.pdf) shows the value of the SY stat (a measure of the "strength of identification" or the predictive power of the excluded instruments) to limit the bias to 20% of OLS for two endogenous variables and three excluded instruments (n=2, K2=5) is 5.91 (similar values are given to limit the size of Wald tests in table 2, and stats for LIML estimates in tables 3 and 4). It's not clear what you don't understand from the Stock and Yogo paper, so it's hard to comment directly. If you gave your n and K2 values and the SY stat from the output of -ivreg2- I suppose one could describe directly the situation in which you find yourself. But the key point is that all IV and IV-type specifications suffer from bias and size distortions, not to mention inefficiency and sometimes failures of exclusion restrictions. The SY stat gives you some measure of how strong your identification is in your sample, but no information about the validity of your instruments. Hope you also read BSS2007: http://econpapers.repec.org/paper/bocbocoec/667.htm and I expect -ranktest- will generate a new set of papers eventually (-ssc install ranktest- and -help ranktest- for more). On 9/25/07, Nirina F <fstata@gmail.com> wrote: > Dear all, > > Yes, I read > Stock, J.H. and Yogo, M. 2005. " Testing for Weak Instruments in > Linear IV Regression" > > but I still don't understand how do I interpret the critical values of > the Stock&Yogo- maximal IV size when using ivreg2. > > I think I compare the critical values from x%maximal IV relative bias > with the Cragg-Donald stat to test for weak instruments but the > critical values for the size with what and what it means? * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: clarification on interpreting Stock&Yogo- maximal IV "size"***From:*"Nirina F" <fstata@gmail.com>

**Re: st: clarification on interpreting Stock&Yogo- maximal IV "size"***From:*"Nirina F" <fstata@gmail.com>

**References**:**st: clarification on interpreting Stock&Yogo- maximal IV "size"***From:*"Nirina F" <fstata@gmail.com>

- Prev by Date:
**Re: st: beta random variable** - Next by Date:
**RE: st: -estout- and ebsd** - Previous by thread:
**st: clarification on interpreting Stock&Yogo- maximal IV "size"** - Next by thread:
**Re: st: clarification on interpreting Stock&Yogo- maximal IV "size"** - Index(es):

© Copyright 1996–2016 StataCorp LP | Terms of use | Privacy | Contact us | What's new | Site index |