1 / 13

Outline

Microsimulation at HM Treasury: methods and challenges David Roe and Doug Rendle {david.roe/doug.rendle}@hm-treasury.gov.uk ESRC/BSPS UK Microsimulation: Bridging the gaps University of Sussex 11 September 2009. Outline. About us Main interests and methods Some experiences

kylee
Télécharger la présentation

Outline

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Microsimulation at HM Treasury: methods and challengesDavid Roe and Doug Rendle{david.roe/doug.rendle}@hm-treasury.gov.ukESRC/BSPS UK Microsimulation: Bridging the gapsUniversity of Sussex 11 September 2009

  2. Outline • About us • Main interests and methods • Some experiences • Current challenges • Possible future directions

  3. About us • Work Incentives and Poverty Analysis team • Budget, Tax and Welfare Directorate • Microsimulation modelling of personal tax, tax credits and benefits • Small unit working across the directorate • Stephen Slater: General distributional analyses including Budget/Pre-Budget Report announcements • Doug Rendle: Income distribution, poverty and work incentives • David Roe: Model building projects

  4. Key microsimulation outputs • Analysis of tax-benefit reforms • winners, losers, amounts etc; by family type, household income decile • includes impact of packages of reforms, e.g. in a Budget, or since Government took office • Analysis of the income distribution • impact of reforms on e.g. child poverty • summary measures of household income inequality • Analysis of work incentives and labour supply • distribution of e.g. in/out of work income ratios (incentives to participate) or effective marginal tax rates (incentives to progress) • labour supply responses to reforms

  5. Methods: tax-benefit modelling • Intra Government Tax Benefit Model (IGOTM) • users in HM Treasury, HM Revenue & Customs, Office for National Statistics, Communities and Local Government, Scottish Executive • Classic household tax-benefit microsimulation model • see also PSM, TAXBEN, EUROMOD etc. • Partial benefit coverage • e.g. disability/incapacity benefits are reported not modelled • Input data • Expenditure & Food Survey or Family Resources Survey • Static ‘no behaviour’ model • labour supply and consumption decisions fixed

  6. Methods: labour supply modelling • ‘Employment transitions’ model • Myck, M. & Reed, H. (2005), “A Dynamic Model of Labour Market Transitions and Work Incentives”, available at www.ifs.org.uk • labour market entry/exit conditional on in/out of work incomes and personal/family characteristics • matching of data from Labour Force Survey (for transitions) and Family Resources Survey (for modelled incentives) • participation effects only, likely in work wage/hours fixed • no ‘feedback’ from changed behaviour to household incomes • New model of hours worked under development

  7. Experience: model maintenance • Challenge of developing and maintaining ‘complex’ models: • detailed tax-benefit rules and maintenance • estimation of behavioural models • 5-year period with ‘out-of-house’ model maintenance and development • Some points to watch: • became less critical model users • ‘ready-to-use’ tools not always sufficiently flexible

  8. Case study: financial support for children • Background • 2000: First in series of explicit Government target to reduce relative child poverty rates • April 2003: tax credits reformed into single source of means-tested support for children • Microsimulation contribution • costs, impacts, and ranking of range of possible reforms to financial support • trade-offs with work incentives • uncertainty in modelling outcomes • Issues • strict focus on ‘changes’ • assumptions, e.g. take-up

  9. Case study: personal tax reforms • Background • Budget 2007 ‘personal tax package’: changes to income tax rates, aged allowances, NICs thresholds, and tax credit thresholds, rates and taper • Microsimulation contribution • highlighting complex patterns of distributional gains and losses • compensating the losers • e.g. see Treasury Committee, Budget Measures and Low-Income Households, 28 June • Issues • e.g. household, family or adult level analysis?

  10. Current challenges: IGOTM • IGOTM review 2009 • audit against 2009-10 rules • coverage of benefits • code rationalisation • model documentation • Progress • from scratch rewrite of income tax, indirect tax and IS/JSA etc. modules • rationalisation and documentation of most remaining modules • need review of measurement framework against DWP Households Below Average Income (HBAI)

  11. Current challenges: poverty analysis • Background • Government legislating commitment for ‘eradication’ of child poverty by 2020 • Issues • consistency with key poverty source: HBAI • horizon too long to base policy analysis on current population • more ‘scenario’ modelling • improved flexibility, e.g. on take-up assumptions

  12. Current challenges: labour supply • New labour supply model • under development with Alan Duncan (Nottingham University) • structural discrete model of hours worked • observable + unobservable variation in leisure/income preferences • probabilistic simulation • Some issues • assumptions, e.g. rational choices with perfect information • estimation, e.g. functional form, choice states, fixed costs • simulation, e.g. runtime

  13. Possible future directions • Longer-term modelling • e.g. rise in women’s state pension age • Distributional ‘forecasting’ • e.g. winners/losers as growth, jobs, prices, interest rates evolve • Behaviourally-adjusted microsimulation outputs • e.g. ‘in-work’ poverty • Intra household allocations • e.g. which individuals really win/lose? • Typically active research areas in academic/wider community and/or techniques well established

More Related