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From |
Trevor Dave <trevor2005d@yahoo.ca> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Re: Heckman Method |

Date |
Fri, 11 Nov 2005 13:18:36 -0500 (EST) |

I agree with Robert's points. The dummy ' Urban/rural' area may act as exclusion restriction if we think that in urban area prospects for jobs is better and consequently labor fore participation is higher. However, again the problem is that if 'urban/rural' influences wage rate then ultimately there will be impact on work hours. Trevor Following up on the points rightly mentioned by Rafa, The traditional exclusion restrictions in the literature (the number of children in the household, the presence of an active head of the household and the expected variance of household income) are unconvincing if you consider for instance that all these factors impact the hours decision specially for women, and if you beleive in the possiblity of division of labor in the household between husbands and wifes. Unfortunately, other selectivity correction methods won't get you out of this dilemma... actually as far as I remember the Heckman method is the only one that allows you to have the same variables in both equations, precisely because of the nonlinearities implied by the Normality assumption. Any semiparametric correction method will require exclusion restrictions. Finally, the identification based on the nonlinearity of the IMR is very weak, as it has been shown that for a good range of values of the XB index the IMR is virtually linear, so if you don't have a good spread of values in the index, your identification might fail. Robert On 11/10/05, R.E. De Hoyos <redeho@hotmail.com> wrote: > Wasim/John, > Two points here. (1) You have to think if observed hours of work are really > the outcome of a utility maximizing process or if they are primarily driven > by institutional rigidity. If institutional rigidities matter then almost > all instruments will capture the effect upon participation (a > utility-maximizing decision) without affecting hours of work (see Heckman > 1990, AER). In many cases the density of hours worked is concentrated around > two points, i.e. full time (40 hrs per week) and part time (20 hrs per > week). The relative importance of the self-employed (and/or informal sectors > in less developed countries) will make this distribution less concentrated > around these two points. So you really need to think about the decision > process behind the data. Depending on your data, > it could be preferable to > estimate a discrete choice model (multinomial logit or probit) to > approximate participation and---indirectly---hours worked. (2) Some of the > most common instruments in the literature of female labour participation > are: the number of children in the household, the presence of an active head > of the household (typically the husband or father) > and the expected variance > of household income (specially under borrowing constraints). > > I hope this helps, > > Rafa > ________________________ > R.E. De Hoyos > Faculty of Economics > University of Cambridge > CB3 9DE, UK > www.econ.cam.ac.uk/phd/red29/ > > ----- Original Message ----- > > From: "Wasim Akram" <wasim704@yahoo.ca> > > To: <statalist@hsphsun2.harvard.edu> > > Sent: Thursday, November 10, 2005 5:18 AM > > Subject: st: Heckman Method > > > > > > > Dear Statalist Members, > > > I am trying to estimate labor force > participation and > > > work hour model using heckman's two step > estimator. I > > > do not have wage data and consequently I am > relying on > > > reduced from approach. > > > So far I have not used any exclusion restriction > in > > > the first stage probit probit model and > consequently > > > the entire identification strategy is based on > the > > > normality assumption of the error terms. Many > > > economists argue to avoid such situation. > > > So I need a variable that effect labor force > > > participation but not work hours. I find it > difficult > > > to identify such variable given the fact that > labor > > > force participation and work hours are derived > from > > > the same utility maximizing model. > > > Can any one suggest me of any such variable? Or > should > > > I drop Heckman method and look for other method > for > > > correcting selection bias? Which method? > > > > > > Thanks, > > > > > > Wasim > > > > > > > > > > > > > > > > > > > > > > __________________________________________________________ Find your next car at http://autos.yahoo.ca * * 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/

**References**:**Re: st: a question about local macro***From:*Radu Ban <raduban@gmail.com>

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