Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2016, SSRN Electronic Journal
https://doi.org/10.2139/SSRN.2824892…
88 pages
1 file
are allowed to see data about a particular person, household, business or organisation and the results in this paper have been confidentialised to protect these groups from identification. 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 IDI available from www.stats.govt.nz. The results are based in part on tax data supplied by Inland Revenue to Statistics New Zealand 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.
IZA Journal of Labor Policy, 2020
Recent changes in New Zealand law decreased the cost of dismissing employees within their first 3 months with an employer, with the aim of encouraging firms to increase hiring by reducing the associated risk. We use monthly linked employer–employee data and exploit the staggered introduction of the policy to estimate its effect on hiring. We find that the policy had little effect on the number of hires, the hiring of jobseekers of unknown quality, or the stability of employment. Our results suggest that policies that temporarily lower dismissal costs do not necessarily increase firm hiring.
Wiadomości Statystyczne. The Polish Statistician
The pace of changes taking place in the contemporary world creates demand for current data at the lowest possible level of territorial aggregation, enabling the assessment of the impact of these changes on local labour markets. Data resources gathered in registers and administrative systems directly or indirectly related to employment seem to provide an opportunity to satisfy these new expectations. However, to be able to use administrative resources for statistical purposes, it is necessary to make allowances for the fact that the administrators of registers and administrative systems collect data to satisfy their own needs and that official statistics reuses them. The aim of the article is to show the analytical opportunities which administrative data sources provide and to demonstrate that they can complement or even replace traditional methods of collecting data on employed persons. The experimental adaptation of data from these sources for statistical purposes proves that, for ...
Labour, Employment and Work in New Zealand
New statistical measures were published in a report by Statistics New Zealand on 24 October 2006 from the Linked Employer-Employee Data Set (LEED). LEED uses longitudinal information from existing taxation and Statistics NZ Sources to provides a range of information on the dynamics of the New Zealand labour market. New statistics have been produced for the first time on income transitions, job tenure, multiple job holding and the self-employed. The use of administrative data allows Statistics New Zealand to produce new statistics at level of regional and industry detail not available from existing sources. Detailed statistics from the 2000 to 2005 tax years are available on the Statistics New Zealand web-site. The statistics are mostly person-level statistics for the period to the end of the 2005 tax year. This paper provides highlight from this report, covering three areas: earnings transitions, multiple job holding as well as new information on self-employment. LEED can produce th...
Studies in Classification, Data Analysis, and Knowledge Organization
The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
Social Science Research Network, 2005
The outputs shown in this paper have been compiled using input data that is largely in its 'raw' form. Limitations exist in the ability of the raw data to support statistical outputs, some of which are outlined in this paper. Investigations suggest that the effects of these limitations may be reduced using appropriate methods that are being developed. However, these methods have not been fully incorporated into the outputs in this document. As such, results shown are to be regarded as illustrative of potential only. This document is released to inform interested parties of ongoing research and to encourage discussion of work in progress. The tables in this paper contain information about groups of people so that the confidentiality of individuals is protected. All results presented in this paper have been rounded; counts to the nearest 100, percentages to the nearest one percent, and average dollar amounts to the nearest $10. All results presented in this paper are based on 100 or more individuals. Only people authorised by the Statistics Act 1975 are allowed to see data about a particular person or firm. The results are based in part on tax data supplied by Inland Revenue (IRD) to Statistics New Zealand under the Tax Administration Act. This tax data must be used only for statistical purposes and no individual information is provided back to IRD for administrative or regulatory purposes. Careful consideration has been given to the privacy, security and confidentiality issues associated with using tax data in this project. A full discussion can be found in the Linked Employer-Employee Data Project: Privacy Impact Assessment paper published on the Statistics New Zealand website at: www.stats.govt.nz. The IRD collects this data to support the efficient operation of the New Zealand taxation system, and its use as a base for the production of statistics places new and quite different demands on the data. Any discussion of data limitations or weaknesses is in the context of this latter use, and is not related to the ability of the data to support IRD's core operational requirements.
SSRN Electronic Journal, 2018
organisation and the results in this paper have been confidentialised to protect these groups from identification. 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 IDI available from www.stats.govt.nz. The results are based in part on tax data supplied by Inland Revenue to Statistics New Zealand 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.
1997
Analysis of labour market shifts based only on individuals disguises important aspects of employment change. When employment change at the household level is also analysed, a better understanding can be gained of changes in the distribution of work and income across society.
2014
In the last decade the Italian National Statistical Institute (Istat) started successfully to fill the gap in the use of administrative data with the most advanced countries. After the seminal experience of ASIA archive (Italian official statistical business register), big steps ahead have been done in the
ISBN 978 0 7070 0285 9 ACKNOWLEDGEMENTS This paper builds on the initiative taken by Barry Kennedy and his team in the Western Region of the Department of Social and Family Affairs to investigate the possibility of developing a profiling system for the unemployed in Ireland. We would like to thank Barry Kennedy, Eoin Brown and Dave McGinn for their active engagement with and support for the project over several years. Thanks also to our ESRI colleagues Paul Gorecki and Richard Layte who reviewed an earlier draft and provided useful comments. We would also like to thank Mary Cleary, Regina Moore and Deirdre Whitaker of the ESRI for all their work in preparing the manuscript for publication.
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.
Scottish Journal of Political Economy, 1981
Melbourne, Melbourne Institute, 2003
Department of Trade and Industry EMAR publications No 6, 1999
Evaluation Review
Economic and Labour Market Review, 2009
Journal of the Royal Statistical Society: …, 2010
IZA Journal of Labor Policy, 2020