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From |
Ed Blackburne <[email protected]> |

To |
[email protected] |

Subject |
st: attention ml experts -- please help |

Date |
Thu, 23 Sep 2004 08:39:29 -0500 |

I am trying to understand ml hold and ml unhold to use in a complicated procedure. Nothing seems to work, so I have included a simple, contrived example to see if someone can help.

<>My two do files defining my ml models:

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

capture program drop mypmg_ec

program define mypmg_ec

version 8.2

args lnf beta

local y $ML_y1

ml hold

ml model lf mypmg_all (junk: `y'= weight, offset(`beta') nocons) /sigma

quie ml max

ml unhold

quietly replace `lnf' = e(ll)

end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

<>%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

capture program drop mypmg_all

program define mypmg_all

version 8.2

args lnf thetas sigma

tempvar z

local y $ML_y1

quie gen double `z' = `y'-`thetas'

quietly replace `lnf' = ln(normd(`z'/exp(`sigma')))-`sigma'

end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

To replicate my problem using auto.dta:

<>I want to estimate the (approximately) equivalent of regress price disp weight, nocons <>The code fragment is:

use auto

ml model lf mypmg_ec(price=displ, nocons)

ml max

<>The problem is the ml routine seems to converge to a max, but continually “backs up” and, as far as Stata is concerned, will not converge.

Here is the resulting output:

<>

. ml model lf mypmg_ec (price=mpg, nocons)

. ml max

initial: log likelihood = -50544.621

alternative: log likelihood = -50544.609

rescale: log likelihood = -50543.178

Iteration 0: log likelihood = -50543.178

Iteration 1: log likelihood = -50543.177 (backed up)

Iteration 2: log likelihood = -50543.177 (backed up)

Iteration 3: log likelihood = -50543.177 (backed up)

Iteration 4: log likelihood = -50543.177 (backed up)

Iteration 5: log likelihood = -50543.177 (backed up)

Iteration 6: log likelihood = -50543.177 (backed up)

Iteration 7: log likelihood = -50543.177 (backed up)

This is course continues without convergence.

Any suggestions??

<>

Thank you for any and all help!

<><>Ed Blackburne

Associate Professor

Economics and International Business

Sam Houston State University

[email protected]

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