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Record W3148365953

Prefilled Personal Income Tax Returns: Australia

2011· article· en· W3148365953 on OpenAlexaboutno aff
Chris Evans, Binh Tran‐Nam

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTax reformValue-added taxIndirect taxDirect taxAd valorem taxState income taxEconomicsPublic economicsTax creditNeutralityIncome taxTax avoidanceDouble taxationEconomic policyInternational economicsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Like the rest of the developed world, Australasian tax reforms in the past 30 years have exhibited many efficiency-enhancing features: lower income tax rates, tax base broadening, a change in tax mix towards indirect taxation, and increased neutrality and uniformity in tax structures. In New Zealand and Australia, these outcomes have reflected the pro-market policies initiated in the 1980s by the then Treasurers Roger Douglas and Paul Keating, respectively. Increased legal complexity and increased tax operating costs (defined as the sum of tax administrative and compliance costs) were undoubtedly outcomes that derived from such policies in Australia and New Zealand, as well as in Canada and most certainly the United States (see Sandford, 1993). This is ironic as tax simplicity has long been recognized as a criterion for good tax policy and tax simplification was declared to be a key rationale for many of the tax reforms taking place in the 1980s and 1990s. The increase in tax operating costs (whether in absolute or relative terms) and the loss of tax simplicity have also clashed with the stated economic strategy of microeconomic reforms in many member countries of the Organisation for Economic Co-operation and Development (OECD). Prefilled (or pre-populated or pre-completed) income tax returns represent one of the latest tax simplification initiatives being undertaken in many OECD countries (Highfield, 2006; OECD, 2008). Their use began in Denmark in the late 1980s and subsequently has spread to other Nordic and EU countries (ANAO, 2008). They have also been adopted, or are in the process of being adopted, at sub-national levels in North America (for example, in California and Quebec). In Australia, the prefilled tax returns program (formally known in Australia as “pre-filling service - e-tax” or simply “pre-filling,” a terminology adopted in this chapter, is relatively new, having been first mooted in 1998 and formally introduced in 2006/07 after minor trials in earlier years. More recently, pre-filling has received high-level official endorsement, initially from the Henry Review of Australia’s Future Tax System (Australian Treasury, 2009), and subsequently in the Government’s response to that review (Australian Government, 2010) and in the May 2010 Budget. Recommendation 123 of the Henry Review argues that “pre-filled personal tax returns should be provided to most personal taxpayers as a default method of settling their tax affairs each year” (2009: 104). In turn, the Government has apparently accepted this “tick and flick” approach, though — as discussed later in the chapter — it may not have entirely understood the ramifications when it did so. The principal aim of this chapter is to examine in detail the experience of pre-filling in Australia. The organization of the remainder of the chapter is as follows. Section 2 provides a more detailed background discussion of pre-filling in Australia, including the drivers of change and its historical development. Section 3 presents a description of the current state of play of pre-filling in Australia and discusses some of the issues that have arisen during its implementation. Finally, section 4 presents a preliminary assessment of the impact of pre-filling and considers a number of proposals that could enhance its performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.127
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.241
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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