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From |
Nick Cox <njcoxstata@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Panel Regression with missing x for one entity |

Date |
Thu, 16 Aug 2012 15:42:01 +0100 |

My guess is that many of us remain puzzled about precisely what you want to know and also have difficulty in assessing what is obvious to you, as the thread already appears to have cycled around the same points about twice. My take is that 1. The model as fitted used no observations (cases, records) in which values were missing on any of the variables named. That's an absolute for Stata. 2. That does not stop the model being used for out-of-sample predictions, but you would need to supply values somehow for the predictors that were missing in your data. 3. Zero does not qualify under #2 unless you have substantive grounds for supposing that missing really means zero, in which case you could go back to refitting the model with missings filled in as zero. 4. If you don't know what the missings should be, I don't know what you should do, except perhaps look at countries which on other grounds you expect to behave similarly. That's a matter of economic judgment for you or your colleagues. Nick On Thu, Aug 16, 2012 at 3:23 PM, Whelan, Paul <Paul.Whelan@bankofengland.co.uk> wrote: > Does anyone have some advice re: the below? All countries were included in the estimation, > just that at the prediction stage in there happens to be missing data on the right hand > side then stata gives me no forecast? Whelan, Paul > The is no information for this particular conditioning variable contributing > to the forecast for this country but it did contribute to the fit for the other > countries. So, a forecaster should still be able to make a projection. It's like > > y_1 = c_1 + beta_11 X_1 + beta_12 X_2 + eps_1 > y_2 = c_2 + beta_12 X_1 + + eps_2 > > > stata doesn't compute E[y_2(t+h) | X_1] if [c_2 , beta_12 ] is estimated from the panel Nick Cox It's often difficult to know what is obvious, but let's spell out that > if any values were missing for a particular country, then no data for > that country contributed to the model fit. Whelan, Paul >> Sure - I guess that is obvious. Maarten Buis >> On Tue, Aug 14, 2012 at 7:43 PM, Whelan, Paul wrote: >>>> I'm running a panel regression with a cross-section of countries: >>> >>> y_it = c_it + beta_1 x_1 + ... + beta_n x_n + eps_it >>> >>> For one of my countries , a particular x is completely missing. >>> The estimation works fine but I cannot produce predictions for this particular entity. >> >> You (through Stata) create the prediction by just filling in the >> equation you gave above. A missing value just mean you don't know the >> value. What would be the outcome of: beta_1*"an unknown value"? Stata >> correctly answers: "an unknown value". * * 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**:**st: Panel Regression with missing x for one entity***From:*"Whelan, Paul" <Paul.Whelan@bankofengland.co.uk>

**Re: st: Panel Regression with missing x for one entity***From:*Maarten Buis <maartenlbuis@gmail.com>

**RE: st: Panel Regression with missing x for one entity***From:*"Whelan, Paul" <Paul.Whelan@bankofengland.co.uk>

**Re: st: Panel Regression with missing x for one entity***From:*Nick Cox <njcoxstata@gmail.com>

**RE: st: Panel Regression with missing x for one entity***From:*"Whelan, Paul" <Paul.Whelan@bankofengland.co.uk>

**RE: st: Panel Regression with missing x for one entity***From:*"Whelan, Paul" <Paul.Whelan@bankofengland.co.uk>

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