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From |
DE SOUZA Eric <edesouza@coleurop.be> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: Panel data regression |

Date |
Thu, 6 Aug 2009 19:37:43 +0200 |

Define k = {i,j}. That is, every {i, j} pair wil give a different value of k. Thus, if i = 1, ..., n and j = 1, ..., n, then k = 1, ... n-squared Then set up the panel with k and t. Eric de Souza College of Europe Brugge (Bruges), Belgium http://www.coleurope.eu -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Andreas Hatzigeorgiou Sent: 06 August 2009 19:29 To: statalist@hsphsun2.harvard.edu Subject: st: Panel data regression Hi, Insights on the the following problem would be greatly appreciated. The goal is to run a pooled panel data regression using xtreg. The data contains reporters (i), partners (j), years (y) and bilateral flows (f_i), where i is number of categories of different types of goods. There is not a problem running xtreg on the aggregate flow level (sum of flows by years). But on the disaggregate level it is not possible to use xtsset (partner year) due to "repeated time values within panel". I know that identifier and time variables need to uniquely identify the data, but in this case I can't see how this is possible since the identifier (j) and the time variable (y) will be constant over the different categories of goods traded. Is there a way around this problem so I still can use xtreg on disaggregate data? Many thanks in advance, Andreas * * 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/ * * 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 data regression***From:*Andreas Hatzigeorgiou <anha@umich.edu>

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