Using the self-selection approach to tax analysis within an OLG framework, the paper examines optimal non-linear labour and capital income taxation and the provision of a durable public good. Under endogenous wages, the marginal tax rules depend, among other things, on the income earning abilities of the households and suggest a novel rationale for distorting capital income taxation. For the public good, the paper derives a dynamic analogue of the second-best Samuelson rule, encompassing both inter- and intragenerational redistributive considerations, and characterises special conditions under which the first-best provision rule holds under distorting taxation.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Government Institute for Economic Research Finland (VATT) in its series Discussion Papers with number
200.
Length: Date of creation: 01 Jan 1999 Date of revision: Handle: RePEc:fer:dpaper:200
Contact details of provider: Postal: Arkadiankatu 7, P.O. Box 1279, FI-00101 Helsinki Phone: +358 40 304 5500 Fax: +358 9 4780 2929 Email: Web page: http://www.vatt.fi/ More information through EDIRC
Order Information: Email:
For technical questions regarding this item, or to correct its listing, contact: (Anita Niskanen).
Find related papers by JEL classification: H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Did you know? You can include your works in the database easily by uploading them on the Munich Personal RePEc Archive (MPRA) if you do not have access to an institutional RePEc archive.