Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence
Furkan Emirmahmutoglu,
Rangan Gupta,
Stephen Miller and
Tolga Omay
No 2016-20, Working papers from University of Connecticut, Department of Economics
Abstract:
This paper re-examines the stochastic properties of US State real per capita personal income, using new panel unit-root procedures. The new developments incorporate non-linearity, asymmetry, and cross-sectional correlation within panel data estimation. Including nonlinearity and asymmetry finds that 43 states exhibit stationary real per capita personal income whereas including only nonlinearity produces the 42 states that exhibit stationarity. Stated differently, we find that 2 states exhibit nonstationary real per capita personal income when considering nonlinearity, asymmetry, and cross-sectional dependence.
Keywords: Nonlinear; Panel Unit Root; Asymmetry; Cross-Sectional Dependence; Sieve Bootstrap (search for similar items in EconPapers)
JEL-codes: C12 C15 C23 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2016-09
New Economics Papers: this item is included in nep-ore
Note: Stephen Miller is the corresponding author
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://media.economics.uconn.edu/working/2016-20.pdf Full text (application/pdf)
Related works:
Journal Article: Is real per capita state personal income stationary? New nonlinear, asymmetric panel‐data evidence (2020) 
Working Paper: Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence (2015) 
Working Paper: Is Real Per Capita State Personal Income Stationary? New Nonlinear, Asymmetric Panel-Data Evidence (2014)
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:uct:uconnp:2016-20
Access Statistics for this paper
More papers in Working papers from University of Connecticut, Department of Economics University of Connecticut 365 Fairfield Way, Unit 1063 Storrs, CT 06269-1063. Contact information at EDIRC.
Bibliographic data for series maintained by Mark McConnel (mark.mcconnel@uconn.edu).