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Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van Stel EIM and University of Amsterdam
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Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Dec 22, 2015

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Page 1: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Measuring business ownership across countries and over time:

Extending the Compendia data base

Chantal Hartog

EIM Business and Policy Research

André van Stel

EIM and University of Amsterdam

Page 2: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

COMPENDIA: COMParative ENtrepreneurship Data for International Analysis

• Business ownership rates for 23 OECD countries, 1972-2006, annually

• Number of non-agricultural business owners as a fraction of total labour force

• Source data: OECD Labour Force Statistics

• Harmonisations applied by EIM Business and Policy Research, Zoetermeer, the Netherlands

Page 3: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Countries originally included in COMPENDIA (23)

• 15 EU countries• Iceland, Norway, Switzerland• United States, Canada, Japan, Australia, New Zealand

Extension with new countries (7)• Poland• Hungary• Czech Republic• Slovak Republic• Mexico• Korea• Turkey

Page 4: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Business ownership definition

Number of business owners in COMPENDIA include:

• Unincorporated self-employed• Incorporated self-employed (owner/managers of

incorporated businesses)

Excluded are:• Self-employed in agriculture, hunting, forestry,

fishing• Unpaid family workers• Self-employed as secondary occupation

Page 5: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Harmonisations made in COMPENDIA

• Harmonisations across countries

- Incorporated self-employed. Formally,

they are employee in their own business.

- Unpaid family workers

• Harmonisations over time

Trend breaks (definition changes over time)

Page 6: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Owner/managers of incorporated businesses (OMIBs)

• Extent to which OMIBs are measured varies by country, depending on survey questions used.

• Example: US Current Population Survey

- Are you employed by a government, a private company or a nonprofit organization or are you self-employed?

- In case self-employed: Is this business incorporated?

- Here a number of OMIBs are detected. However, this number is NOT included in self-employment count.

- But even the detected number is not complete, OMIBs who classify themselves as employee are not detected (Bregger, 1996).

Page 7: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Inclusion of OMIBs in self-employment count varies by country

In OECD Employment Outlook, June 2000, Annex 5A,

the inclusion of OMIBs in OECD Labour Force Statistics is categorised as follows:

1. Excluding all OMIBs

2. Classification of OMIBs is unclear

3. Including all OMIBs

4. Including most OMIBs

5. Excluding most OMIBs

Page 8: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Harmonisations applied in COMPENDIA

Number of business owners in COMPENDIA:• If definition is “including all OMIBs”: reported number in

OECD Labour Force Statistics• Otherwise:- European countries: maximum of OECD and number of

non-primary private enterprises according to The European Observatory for SMEs (1994)

- Non-European countries: country specific sources.

For example: US number of OMIBs estimated by the number of employer firms (US Small Business Administration)

Page 9: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Impact of corrections

The raise factor:

Total number of business owners according to COMPENDIA / Reported number in OECD Labour Force Statistics,

varies from 1 (no correction needed) to 1.26 (France) to 1.56 (US)

Page 10: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Illustrations

Business ownership rate 2004, Compendia

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0.05

0.10

0.15

0.20

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Page 11: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Business ownership rate 2004, OECD

0.00

0.05

0.10

0.15

0.20

0.25L

uxe

mb

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Den

mar

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No

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Sw

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Fra

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Sta

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and

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ece

Page 12: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Rank Compendia Rank OECD Greece 1 2 Italy 2 1 Australia 3 10 New Zealand 4 3 Portugal 5 4 Iceland 6 9 Spain 7 5 Canada 8 17 Ireland 9 6 Netherlands 10 11 United Kingdom 11 7 Belgium 12 8 United States 13 19 Germany 14 12 Japan 15 16 Austria 16 15 Finland 17 13 France 18 21 Sweden 19 14 Switzerland 20 18 Norway 21 23 Denmark 22 20 Luxembourg 23 22

Page 13: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Business ownership rate Sweden, trend break 1987

0.00

0.02

0.04

0.06

0.08

0.10

1972

1974

1976

1978

1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

2002

2004

OECD Compendia

Page 14: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Business ownership rates in 2006

0.00

0.05

0.10

0.15

0.20

0.25

Italy

Korea

Mexic

oGr

eece

Czec

h Rep

ublic

Austr

alia

Turke

ySp

ainNe

w Ze

aland

Portu

gal

Cana

daTh

e Neth

erlan

ds Icelan

dUn

ited K

ingdo

mBe

lgium

Irelan

dSlo

vak R

epub

lic USA

Hung

aryGe

rman

yAu

stria

Norw

ay Japan

Polan

dFin

land

Swed

enFra

nce

Denm

arkSw

itzerl

and

Luxe

mbou

rg

Page 15: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Developments in four countries, 1972-2006 (1)

Page 16: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Developments in four countries, 1983-2006 (2)

Page 17: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Limitations• Correction factor for OMIBs applied constantly

over time.

• Sometimes crude approximations when little information available (e.g. Switzerland).

• Nevertheless, the COMPENDIA data construction contributes to a better comparability of business ownership rates across countries and over time.

Page 18: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Extending Compendia (pilot project EIM - OECD)

Distinction of number of business owners by:

• employer / own account worker

• sector

• gross inflow / outflow (in terms of persons, not businesses)

Page 19: Measuring business ownership across countries and over time: Extending the Compendia data base Chantal Hartog EIM Business and Policy Research André van.

Statistical experiments at the regional level?

• Create times series employer / own account worker at regional level and compare to national pattern

• Create labour force survey capable of directly measuring number of OMIBs, and compare results with official statistics