An examination of the dynamic behaviour of local governments using GMM bootstrapping methods
Matz Dahlberg () and
Eva Johansson
Additional contact information
Eva Johansson: Department of Economics, Uppsala University, Box 513, SE-751 20 Uppsala, Sweden, Postal: Department of Economics, Uppsala University, Box 513, SE-751 20 Uppsala, Sweden
Authors registered in the RePEc Author Service: Eva Mörk ()
Journal of Applied Econometrics, 2000, vol. 15, issue 4, 401-416
Abstract:
Even though recent Monte Carlo evidence has shown that the use of bootstrap critical values, instead of asymptotic ones, improves the size of the tests substantially, empirical applications using GMM bootstrap techniques are largely missing. In this paper, the dynamic relationship between local government revenues and expenditures is re-investigated using GMM bootstrapping techniques on a panel of 265 Swedish municipalities over the period 1979-1987. A lag of one year is found in the expenditures equation, while no dynamics is found in the own-source revenues and grants equations. These results, while contrasting sharply with those obtained when asymptotic critical values are used, are well in line with the theoretical explanations given in the literature for dynamic behaviour in the local public sector. Copyright © 2000 John Wiley & Sons, Ltd.
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (33)
Downloads: (external link)
http://qed.econ.queensu.ca:80/jae/2000-v15.4/ Supporting data files and programs (text/html)
Related works:
Working Paper: An Examination of the Dynamic Behavior of Local Governments Using GMM Bootstrapping Methods (1997)
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:jae:japmet:v:15:y:2000:i:4:p:401-416
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().