IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/103206.html
   My bibliography  Save this paper

Reconstructing business proprietor responses for censuses 1851-81: a tailored logit cut-off method. Working paper 9.2

Author

Listed:
  • Bennett, Robert
  • Montebruno, Piero
  • Smith, Harry
  • van Lieshout, Carry

Abstract

This paper extends the reconstruction method developed in WP 9 to identify entrepreneurs 1851-81. Its aim is to identify the individual employers and own-account business people for 1851-1881, where employment status was not explicitly identified in the population censuses. This paper develops a method of variable logit cut-offs tailored to each occupation code. This allows the original census responses can be supplemented to give approximately all employers and own account. The aim is to provide a further resource for subsequent researchers, which is available in the database deposited at UK Data Archive (UKDA) as the British Census of Entrepreneurs 1851-1911 (BBCE), derived from the ESRC-supported project ES/M010953 Drivers of Entrepreneurship and Small Businesses.

Suggested Citation

  • Bennett, Robert & Montebruno, Piero & Smith, Harry & van Lieshout, Carry, 2019. "Reconstructing business proprietor responses for censuses 1851-81: a tailored logit cut-off method. Working paper 9.2," MPRA Paper 103206, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:103206
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/103206/1/MPRA_paper_103206.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Montebruno, Piero & Bennett, Robert & Smith, Harry & van Lieshout, Carry, 2019. "Machine learning classification of entrepreneurs in British historical census data," MPRA Paper 100469, University Library of Munich, Germany.
    2. Montebruno, Piero & Bennett, Robert J. & Van Lieshout, Carry & Smith, Harry & Satchell, Max, 2019. "Shifts in agrarian entrepreneurship in mid-Victorian England and Wales," LSE Research Online Documents on Economics 113866, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Montebruno, Piero & Bennett, Robert & Smith, Harry & van Lieshout, Carry, 2019. "Machine learning classification of entrepreneurs in British historical census data," MPRA Paper 100469, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert J. Bennett & Harry Smith & Piero Montebruno & Carry van Lieshout, 2022. "Changes in Victorian entrepreneurship in England and Wales 1851-1911: Methodology and business population estimates," Business History, Taylor & Francis Journals, vol. 64(7), pages 1211-1243, September.
    2. Ivana Lolić & Petar Sorić & Marija Logarušić, 2022. "Economic Policy Uncertainty Index Meets Ensemble Learning," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 401-437, August.
    3. Matthew Hale & Graham Raymond & Catherine Wright, 2020. "List of publications on the economic and social history of Great Britain and Ireland published in 2019," Economic History Review, Economic History Society, vol. 73(4), pages 1153-1202, November.
    4. Bennett, Robert J. & Montebruno, Piero & Van Lieshout, Carry & Smith, Harry, 2022. "Business entry and exit: career changes of proprietors in England and Wales (1851-81) using record-linkage," LSE Research Online Documents on Economics 113867, London School of Economics and Political Science, LSE Library.
    5. Robert J. Bennett & Harry Smith & Piero Montebruno, 2020. "The Population of Non-corporate Business Proprietors in England and Wales 1891–1911," Business History, Taylor & Francis Journals, vol. 62(8), pages 1341-1372, November.
    6. Mehmet Güney Celbiş, 2021. "A machine learning approach to rural entrepreneurship," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 1079-1104, August.
    7. Van Lieshout, Carry & Smith, Harry & Montebruno, Piero & Bennett, Robert J., 2019. "Female entrepreneurship: business, marriage and motherhood in England and Wales, 1851–1911," LSE Research Online Documents on Economics 115354, London School of Economics and Political Science, LSE Library.
    8. Graham, Byron & Bonner, Karen, 2022. "One size fits all? Using machine learning to study heterogeneity and dominance in the determinants of early-stage entrepreneurship," Journal of Business Research, Elsevier, vol. 152(C), pages 42-59.

    More about this item

    Keywords

    Entrepreneurship; Employers; Self-employment; Small businesses; Census;
    All these keywords.

    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:103206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.