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From |
Alejandro Delafuente <alejandro.delafuente@sant.ox.ac.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: predicting (fitted) values after ivtobit |

Date |
Sat, 02 Feb 2008 21:54:19 +0000 |

Dear statalisters, Am trying to show graphically the relationship between a score index (X - independent variable) and remittance levels (Y - dependent variable) estimated with an ivtobit model. Thus far, after running the ivtobit model I predict marginal effects as follows: mfx compute, at(mean X = numerical value) As part of the above computation Stata displays the (predicted) fitted values for Y. Then manually I plot various predicted values of remittances estimated across a full range of different levels of the score index, leaving the rest of independent variables fixed at their mean. Two questions: Is this the right way to predict expected levels of remittances, considering that am doing some left censoring at zero? In other words, am I using the corrected 'fitted values' command? Is there any graph option that would allow Stata do this for me more directly (i.e, to use an overlayed picture of the scatter of actual observations and then the fitted values above it), although my score index has many values Many thanks, Alejandro -- Alejandro de la Fuente Department of International Development/QEH University of Oxford, Mansfield Road, Oxford OX1 3TB Tel: 01865 281836 * * 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/

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