The Free Rider Problem: a Dynamic Analysis
Marco Battaglini (),
Salvatore Nunnari () and
No 1354, Working Papers from Princeton University, Department of Economics, Econometric Research Program.
We present a dynamic model of free riding in which infinitely lived agents choose between private consumption and contributions to a durable public good. We characterize the set of continuous Markov equilibria in economies with reversibility, where investments can be positive or negative; and in economies with irreversibility, where investments are non negative and can only be reduced by depreciation. With reversibility, there is a continuum of equilibrium steady states: the highest equilibrium steady state of is increasing in, and the lowest is decreasing. With irreversibility, the set of equilibrium steady states converges to the highest steady state possible with reversibility, as depreciation converges to zero. We also show that in economies with reversibility there are always non-monotonic equilibria in which converges to the steady state with damped oscillations; and there can be equilibria with persistent limit cycles.
Keywords: free rider problem; model; cycles (search for similar items in EconPapers)
JEL-codes: C01 C50 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
http://detc.princeton.edu/wp-content/uploads/2016/ ... i_Nunnari_Pafrey.pdf
Working Paper: The Free Rider Problem: a Dynamic Analysis (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pri:metric:wp021_2011_battaglini_nunnari_pafrey.pdf
Access Statistics for this paper
More papers in Working Papers from Princeton University, Department of Economics, Econometric Research Program. Contact information at EDIRC.
Bibliographic data for series maintained by Bobray Bordelon ().