A Rough Guide to New Zealand's Longitudinal Business Database (2nd edition)

Fabling, Richard; Sanderson, Lynda

doi:10.29310/wp.2016.03

Cited by 45 publications

(46 citation statements)

References 12 publications

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“…Firm-level data is sourced from the Longitudinal Business Database, which brings together a range of administrative and survey data linked to the Longitudinal Business Frame (see Fabling, 2009). In particular, this paper uses detailed shipmentlevel filings of merchandise trade data provided to the New Zealand Customs Service between January 1999 and September 2011.…”

Section: Methodsmentioning

confidence: 99%

Exchange rate fluctuations and the margins of exports

Fabling¹,

Sanderson²

2015

Motu Working Paper

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This paper examines the relationship between exchange rate fluctuations and New Zealand export performance. To isolate the impact of the exchange rate, as opposed to contemporaneous (and related) fluctuations in New Zealand's economic performance or overseas market characteristics, we focus on bilateral export relationships at the firm level and control for both time-invariant country characteristics and changes in aggregate economic conditions. We examine two key margins of export adjustment -the probability of exporting (the extensive margin) and the average value of exports per firm (the intensive margin) -and distinguish between impacts on market incumbents and new or potential entrants. Finally, we specifically take account of the potential for interaction between the level and volatility of the exchange rate to affect exporting, as implied by theories of exchange rate hysteresis. JEL codesD22; F14; F31

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Section: Methodsmentioning

confidence: 99%

Exchange rate fluctuations and the margins of exports

Fabling¹,

Sanderson²

2015

Motu Working Paper

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“…Subject to stable and timely input data updates in the future, these methodology changes also re-enable annual updating of the productivity database -in line with the remainder of the Longitudinal Business Database (LBD) -adding value to other data sources, particularly the Business Operations Survey which was streamlined in 2009 on the assumption that financial data would be sourced primarily from linked administrative tax data in the future (Fabling and Sanderson 2016).…”

Section: Motivationmentioning

confidence: 99%

Improved Productivity Measurement in New Zealand's Longitudinal Business Database

Fabling¹,

Maré

2019

SSRN Journal

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results in this paper have been confidentialised to protect these groups from identification and to keep their data safe. Careful consideration has been given to the privacy, security, and confidentiality issues associated with using administrative and survey data in the IDI. Further detail can be found in the Privacy impact assessment for the Integrated Data Infrastructure available from www.stats.govt.nz. The results are based in part on tax data supplied by Inland Revenue to Stats NZ under the Tax Administration Act 1994. This tax data must be used only for statistical purposes, and no individual information may be published or disclosed in any other form, or provided to Inland Revenue for administrative or regulatory purposes. Any person who has had access to the unit record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy. Any discussion of data limitations or weaknesses is in the context of using the IDI for statistical purposes, and is not related to the data's ability to support Inland Revenue's core operational requirements.

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“…Capturing more information about assets and expenses may be possible using the IR10 (Financial Statements Summary) provided to IR by businesses and the self-employed in lieu of filing a full set of financial accounts. 41 Since larger businesses tend to file their full financial accounts, IR10 data in the IDI tends to primarily be comprised of small businesses (Fabling and Sanderson 2016). It will still be difficult to determine labour income, but these data could provide a better sense of expenses paid and assets used by the self-employed.…”

Section: Data Currently Available In New Zealandmentioning

confidence: 99%

Measuring the ‘Gig’ Economy: Challenges and Options

2019

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The increase in internet-based services has raised policy interest in gig work, which is work done outside formal employer-employee relationships. Given the dearth of information about the nature and magnitude of gig work and the extent of its growth in New Zealand, it is unclear whether current regulatory institutions adequately regulate it. There is also concern among policymakers about the effect of gig work on the financial stability of gig workers. In this paper we provide a New Zealand-specific typology for identifying gig work, and discuss conceptual and practical issues related to measuring it. We describe how existing New Zealand data can be used to learn more about gig work and make suggestions for improving its measurement in the future. JEL codesJ21, J40, J46, J81, J83, J88

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A Rough Guide to New Zealand's Longitudinal Business Database (2nd edition)

Cited by 45 publications

References 12 publications

Exchange rate fluctuations and the margins of exports

Exchange rate fluctuations and the margins of exports

Improved Productivity Measurement in New Zealand's Longitudinal Business Database

Measuring the ‘Gig’ Economy: Challenges and Options

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