Southern Africa – Towards Inclusive Economic Growth (SA-TIED)
Jukka Pirttilä | 30 November 2017, Pretoria
Work stream 2:
Public revenue mobilization for inclusive development
This work stream has two main aims
1. As a continuation to the Firm-Level Analysis project, a key goal
is the work on data
– Modify SARS data so that it is easily accessible and well documented
– As earlier, the data set also serves the needs of other work streams
2. Actual tax research
– Using both administrative SARS data but also other data sets (survey
data)
On data
• A person will be hired (a PSA contract) to work, based on either at
the NT or SARS, for a year
• The main task is to prepare panel data sets
– On firms paying the CIT
– On individuals (based on PAYE or income tax returns?)
• Key variables included, alternative variables can be added
• Clearly annotated code, documents describing the data and user
manuals will be prepared
Additional remarks on data work
• Secure and powerful computing resources needed, with up-
to-date software
• A separate panel on firms that are not corporations (sole
proprietors) will also be useful
• VAT data to cross check income tax returns
• Can audit data be combined with the firm panel?
• A scoping study can be prepared on the issue of arranging
secure online access to data
Why worry about taxes?
• Clearly, ministries and revenue authorities want to raise (a lot
of) revenue and improve compliance
• However, South Africa also needs new jobs and investments
– How distortive are taxes?
• Clear linkages to inequality analysis
– Taxes and transfers are the most direct way to influence distribution
– How large are the trade offs?
Research topics
• Responsiveness of firms to tax incentives
– The impact of taxation on the self employed, taxed according to the
progressive income tax schedule
– The effects of incentives such as the special HQC regime on larger firms
• Microsimulation model for enterprise taxation
– Combined business taxation and owners’ taxes
– Can be used to predict taxpayer responses to changes in the overall burden
of the tax under the assumption that firm owners minimise their taxes
Research topics continued
• Compliance
– Profiling models of under-reporting or non-reporting
– If audit data can be used, the impact of different types of enforcement mechanisms on revenues can be
evaluated
– Do firms avoid being handled by the Large business centre?
• 2015 reform?
• Field experiments
– Often used to encourage compliance
– Perhaps more novelty would be in work related to improving employment or growth
– If used, what is experimented must be chosen so that it caters for SARS needs
Research based on survey data
• Tax-benefit microsim model, SAMOD, will be kept up to date
– Possibility to merge with admin data explored
– Used to study work incentives (PTRs, EMTRs)
– And the impact of policy reforms on work incentives, as well as inequality
• A scoping study on a micro-macro model
• Revisiting the ETI
– Possibility to use a triple differences strategy?
Capacity building
• Data work one area of capacity building
• Research conducted jointly with SARS and NT staff members in case
they have the time
• Participation of SA academic researchers, especially early-career
researchers, very welcome
– Linking foreign and SA scholars
• Collaboration with other tax authorities in the region encouraged
– E.g. via ATAF
Timing
Year 1
• Data work starts, to be finished by
the end of 2018
• First research papers commissioned
• Call for papers organised towards
the end of the year / early on
during Year 2 (jointly with other
streams?)
All years: annual workshops
Year 3
• Papers ready
• Final seminar
Year 2
• Second batch of work commissioned
• Online data access considered
Some final remarks
• Follow up of ongoing policy changes
– Important for researchers to be well informed about current or future
reforms
• Data access for researchers not based in Gauteng area a
challenge
– Can we have people who can run the code on behalf of researchers
based elsewhere?
– Is it possible to have small samples that could be used for writing the
code?

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Presentation sa-tied- public revenue mobilization for inclusive development

  • 1. Southern Africa – Towards Inclusive Economic Growth (SA-TIED) Jukka Pirttilä | 30 November 2017, Pretoria Work stream 2: Public revenue mobilization for inclusive development
  • 2. This work stream has two main aims 1. As a continuation to the Firm-Level Analysis project, a key goal is the work on data – Modify SARS data so that it is easily accessible and well documented – As earlier, the data set also serves the needs of other work streams 2. Actual tax research – Using both administrative SARS data but also other data sets (survey data)
  • 3. On data • A person will be hired (a PSA contract) to work, based on either at the NT or SARS, for a year • The main task is to prepare panel data sets – On firms paying the CIT – On individuals (based on PAYE or income tax returns?) • Key variables included, alternative variables can be added • Clearly annotated code, documents describing the data and user manuals will be prepared
  • 4. Additional remarks on data work • Secure and powerful computing resources needed, with up- to-date software • A separate panel on firms that are not corporations (sole proprietors) will also be useful • VAT data to cross check income tax returns • Can audit data be combined with the firm panel? • A scoping study can be prepared on the issue of arranging secure online access to data
  • 5. Why worry about taxes? • Clearly, ministries and revenue authorities want to raise (a lot of) revenue and improve compliance • However, South Africa also needs new jobs and investments – How distortive are taxes? • Clear linkages to inequality analysis – Taxes and transfers are the most direct way to influence distribution – How large are the trade offs?
  • 6. Research topics • Responsiveness of firms to tax incentives – The impact of taxation on the self employed, taxed according to the progressive income tax schedule – The effects of incentives such as the special HQC regime on larger firms • Microsimulation model for enterprise taxation – Combined business taxation and owners’ taxes – Can be used to predict taxpayer responses to changes in the overall burden of the tax under the assumption that firm owners minimise their taxes
  • 7. Research topics continued • Compliance – Profiling models of under-reporting or non-reporting – If audit data can be used, the impact of different types of enforcement mechanisms on revenues can be evaluated – Do firms avoid being handled by the Large business centre? • 2015 reform? • Field experiments – Often used to encourage compliance – Perhaps more novelty would be in work related to improving employment or growth – If used, what is experimented must be chosen so that it caters for SARS needs
  • 8. Research based on survey data • Tax-benefit microsim model, SAMOD, will be kept up to date – Possibility to merge with admin data explored – Used to study work incentives (PTRs, EMTRs) – And the impact of policy reforms on work incentives, as well as inequality • A scoping study on a micro-macro model • Revisiting the ETI – Possibility to use a triple differences strategy?
  • 9. Capacity building • Data work one area of capacity building • Research conducted jointly with SARS and NT staff members in case they have the time • Participation of SA academic researchers, especially early-career researchers, very welcome – Linking foreign and SA scholars • Collaboration with other tax authorities in the region encouraged – E.g. via ATAF
  • 10. Timing Year 1 • Data work starts, to be finished by the end of 2018 • First research papers commissioned • Call for papers organised towards the end of the year / early on during Year 2 (jointly with other streams?) All years: annual workshops Year 3 • Papers ready • Final seminar Year 2 • Second batch of work commissioned • Online data access considered
  • 11. Some final remarks • Follow up of ongoing policy changes – Important for researchers to be well informed about current or future reforms • Data access for researchers not based in Gauteng area a challenge – Can we have people who can run the code on behalf of researchers based elsewhere? – Is it possible to have small samples that could be used for writing the code?