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Measuring Entrepreneurship

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Cover of 'Measuring Entrepreneurship'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction and Outline
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    Chapter 2 Statistical Issues in Applied Entrepreneurship Research: Data, Methods and Challenges
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    Chapter 3 Entrepreneurial Tools
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    Chapter 4 Understanding Entrepreneurship: Developing Indicators for International Comparisons and Assessments
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    Chapter 5 The COMPENDIA Data Base: COMParative ENtrepreneurship Data for International Analysis
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    Chapter 6 Entrepreneurship Analysis from a Human Population Surveys’ Perspective
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    Chapter 7 A Proposed Framework for Business Demography Statistics
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    Chapter 8 Entrepreneurship Performance and Framework Conditions: A General Framework
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    Chapter 9 Self-Employment and Unemployment in Spanish Regions in the Period 1979–2001
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    Chapter 10 Tax Incentives and Entrepreneurship: Measurement and Data Considerations
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    Chapter 11 Using Survival Models with Individual Data
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    Chapter 12 Entrepreneurial Human Capital: Essays of Measurement and Empirical Evidence
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    Chapter 13 Global Entrepreneurship Monitor and Entrepreneurs’ Export Orientation
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    Chapter 14 Labour Market Institutions and Entrepreneurship
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    Chapter 15 Financial System and Entrepreneurship: Institutions and Agents
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    Chapter 16 Building a Statistical System on Entrepreneurship: a Theoretical Framework
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Mentioned by

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2 policy sources

Citations

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12 Dimensions

Readers on

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100 Mendeley
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Title
Measuring Entrepreneurship
Published by
Springer Science & Business Media, January 2008
DOI 10.1007/978-0-387-72288-7
ISBNs
978-0-387-72287-0, 978-0-387-72288-7
Editors

Congregado, Emilio

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 2%
Brazil 2 2%
Ethiopia 1 1%
United Kingdom 1 1%
Bosnia and Herzegovina 1 1%
United States 1 1%
Poland 1 1%
Unknown 91 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 21%
Student > Master 15 15%
Researcher 11 11%
Student > Doctoral Student 11 11%
Lecturer 7 7%
Other 29 29%
Unknown 6 6%
Readers by discipline Count As %
Business, Management and Accounting 47 47%
Economics, Econometrics and Finance 16 16%
Social Sciences 13 13%
Computer Science 4 4%
Engineering 4 4%
Other 7 7%
Unknown 9 9%