Scoop has an Ethical Paywall
Work smarter with a Pro licence Learn More

Gordon Campbell | Parliament TV | Parliament Today | News Video | Crime | Employers | Housing | Immigration | Legal | Local Govt. | Maori | Welfare | Unions | Youth | Search

 

New Working Paper on Tax Policy Modelling

New Working Paper on Tax Policy Modelling

21 Jun 2016

The Treasury published a new Working Paper today on tax policy modelling.

Optimal Timing of Tax Policy in the Face of Projected Debt Increases is written by Christopher Ball, John Creedy and Grant Scobie. This paper examines the optimal time path of the tax rate, in a model where an increasing ratio of government debt to GDP is projected in the absence of policy changes. Tax policy changes have feedback effects, as a result of incentives and other endogenous influences which impose constraints on the efficacy of those policies. Emphasis is given to the importance of uncertainty in devising an optimal policy. A welfare function is maximised, allowing for a range of variables, including the excess burden of taxation and a desired debt ratio.

Working Papers can be viewed on the Treasury website at http://www.treasury.govt.nz/publications/research-policy/wp.

The views, opinions, findings, and conclusions or recommendations expressed in Treasury Working Papers are strictly those of the authors and do not necessarily reflect the views of the New Zealand Treasury or the New Zealand Government.

ENDS

Advertisement - scroll to continue reading

Are you getting our free newsletter?

Subscribe to Scoop’s 'The Catch Up' our free weekly newsletter sent to your inbox every Monday with stories from across our network.

© Scoop Media

Advertisement - scroll to continue reading
 
 
 
Parliament Headlines | Politics Headlines | Regional Headlines

 
 
 
 
 
 
 

LATEST HEADLINES

  • PARLIAMENT
  • POLITICS
  • REGIONAL
 
 

InfoPages News Channels


 
 
 
 

Join Our Free Newsletter

Subscribe to Scoop’s 'The Catch Up' our free weekly newsletter sent to your inbox every Monday with stories from across our network.