[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
  EconPapers    
Economics at your fingertips  
 

Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates

Leslie Papke and Jeffrey Wooldridge

No 147, NBER Technical Working Papers from National Bureau of Economic Research, Inc

Abstract: We offer simple quasi-likelihood methods for estimating regression models with a fractional dependent variable and for performing asymptotically valid inference. Compared with log-odds type procedures, there is no difficulty in recovering the regression function for the fractional variable, and there is no need to use ad hoc transformations to handle data at the extreme values of zero and one. We also offer some new, simple specification tests by nesting the logit or probit function in a more general functional form. We apply these methods to a data set of employee participation rates in 401(k) pension plans.

JEL-codes: C21 (search for similar items in EconPapers)
Date: 1993-11
Note: PE
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (97)

Published as Journal of Applied Econometrics, vol.11, pp. 619-632 (1996)

Downloads: (external link)
http://www.nber.org/papers/t0147.pdf (application/pdf)

Related works:
Journal Article: Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates (1996) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberte:0147

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/t0147

Access Statistics for this paper

More papers in NBER Technical Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2024-12-10
Handle: RePEc:nbr:nberte:0147