IGESET: Stata module to estimate intergenerational income elasticities (IGEs) with a single set of instruments
Pablo Mitnik
Statistical Software Components from Boston College Department of Economics
Abstract:
igeset estimates IGEs of children's income with respect to parental income. To estimate the lower bound, igeset uses an estimator assumed to be affected by attenuation bias given the parental information available (i.e., a short-run instead of a long-run parental-income measure). To estimate the upper bound, igeset uses an instrumental-variable estimator and one (and only one) set of invalid instruments assumed to be positively correlated with the error term of the population regression function of interest. The estimated IGE may be the IGE of the expectation or the IGE of the geometric mean.
Language: Stata
Requires: Stata version 13
Keywords: intergenerational income elasticities; bounds; confidence intervals; instrumental variables (search for similar items in EconPapers)
Date: 2019-10-18
Note: This module should be installed from within Stata by typing "ssc install igeset". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/i/igeset.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/n/nligeset.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/igeset.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/i/igeset_data.dta sample data file (application/x-stata)
Related works:
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:boc:bocode:s458701
Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().