Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Estrella Gomez <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Dependent variable in a tobit model |

Date |
Tue, 16 Nov 2010 10:00:54 +0100 |

Dear Austin The thing is that I am comparing estimation methods to stduy the properties of each of these methods, that's why I am interested in estimating a Tobit model, as well as Poisson and others. But I am not sure if Stata automatically drops out the observations of the dependent variable that are missings (those are the observations that are zeros in the original variable in levels) and hence, I should specify instead an equation with the dependent variable in levels instead of logs. Is that correct? Thank you very much for your advices and your ppt. Could I ask you which is the command to plot the graphic in which you compare the estimators? Best regards, Estrella 2010/11/15 Austin Nichols <[email protected]>: > Estrella Gomez <[email protected]> : > Why not use -poisson- or -glm- with cluster-robust standard errors > (and fixed effects if you like)? Cameron and Trivedi would have you > "trick" Stata's -tobit- command using a negative y in place of > ln(zero), but I argue in > http://repec.org/bost10/nichols_boston2010.pdf > that tricking Stata this way is a bad idea; see also > Santos Silva and Tenreyro. 2006. "The Log of Gravity." Review of > Economics and Statistics, 88(4): 641-658. > Cameron and Trivedi. 2009. Microeconometrics Using Stata. Stata Press, > College Station TX. > > Note that a lot of zeros is not a problem in general, since those > observations may also have very low predicted values conditional on > observables. > > On Mon, Nov 15, 2010 at 5:19 AM, Estrella Gomez <[email protected]> wrote: >> Dear Statalist: >> >> I am estimating a gravity equation of exports and I have decided to >> use tobit model, since the number of zeros in the dataset is high. >> This model is usually estimated in its loglinear version. However, if >> I use the logarithm of trade as dependent variable, the zeros are >> dropped (since the logarithm of zero is unfeasible). >> >> This is the command I have introduced in Stata 11: >> >> xttobit lxi lGDP_i lGDP_j contig comla smctry ldist RTAboth i.exporter >> i.importer i.year, ll(0) >> >> where "lxi" is the logarithm of exports and the independent variables >> are the standard variables in a gravity equation >> >> Of course, the number of censored observations is zero, since the >> dependent variable is introduced in logs. I think this is not correct, >> but I have seen this specification in most of the gravity-related >> articles >> >> Could somebody help me with this? >> >> In addition, I do not know if it is correct to introduce exporter, >> importer and time effects in the model >> >> Thank you in advance, >> Estrella Gómez > > * > * 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/

**Follow-Ups**:**Re: st: Dependent variable in a tobit model***From:*Austin Nichols <[email protected]>

**RE: st: Dependent variable in a tobit model***From:*Nick Cox <[email protected]>

**References**:**st: Dependent variable in a tobit model***From:*Estrella Gomez <[email protected]>

**Re: st: Dependent variable in a tobit model***From:*Austin Nichols <[email protected]>

- Prev by Date:
**st: asclogit error: "this exceeds the limit of 800 for factors"** - Next by Date:
**st: OT: how to report statistics in (medical) journals** - Previous by thread:
**Re: st: Dependent variable in a tobit model** - Next by thread:
**RE: st: Dependent variable in a tobit model** - Index(es):