Browse data: Studies
From Copyright EVIDENCE
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- Studies (909)
Studies > Data Type 
:
Primary and Secondary data or
Secondary data
& Data collection method :
Quantitative Collection Methods or
Survey Research (quantitative; e.g. sales/income reporting)
& Evidence Based Policies:
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
& Data industry :
Computer consultancy or
Computer programming or
Other
:
Primary and Secondary data or
Secondary data
& Data collection method :
Quantitative Collection Methods or
Survey Research (quantitative; e.g. sales/income reporting)
& Evidence Based Policies:
D. Licensing and Business models (collecting societies; meta data; exchanges/hubs; windowing; crossborder availability)
& Data industry :
Computer consultancy or
Computer programming or
Other Click on one or more items below to narrow your results.
Author:
Year:
Related to:
Discipline:
Data Type: (Click arrow to add another value)
Secondary Data Source:
Data collection method: (Click arrow to add another value)
Data analysis method:
Cluster analysis (4) ·
Correlation and Association (18) ·
Descriptive statistics (counting; means reporting; cross-tabulation) (33) ·
Discourse Analysis (2) ·
Ethnographic/narrative analysis (1) ·
Legal Analysis (6) ·
Meta-Analysis (1) ·
Multivariate Statistics (13) ·
Qualitative Analysis Methods (14) ·
Qualitative Coding / Sorting (e.g. of interview data) (4) ·
Quantitative Analysis Methods (50) ·
Quantitative content analysis (e.g. text or data mining) (17) ·
Regression Analysis (20) ·
Social Network Analysis (1) ·
Structural Equation Modeling (6) ·
Textual Content Analysis (6) ·
Visual / Other Content Analysis (2)
Country:
Time period of data collection:
Funder:
ARC via projects LP160100387, FT170100011 and DE170100037 (1) ·
Alfred P. Sloan Foundation (1) ·
Australia Council for the Arts (1) ·
Authors’ Licensing & Collecting Society (ALCS) (1) ·
Center for the Analysis of Property Rights and Innovation (CAPRI) (1) ·
Centre National de la Recherche Scientifique (CNRS) (1) ·
Congressional Research Service (1) ·
Directorate General Communication Networks, Content and Technology (1) ·
Economic and Social Research Council (ESRC) (grant RES-173-27-0220) (1) ·
European Commision (1) ·
European Commission (3) ·
GE Endowed Professor Fund (1) ·
German Institute for Economic Research (1) ·
Google (2) ·
House of Commons (1) ·
IGCC and UCSC Committee on Research (1) ·
IPO (1) ·
International Intellectual Property Alliance (1) ·
John D. Evans Foundation (1) ·
Monash University (1) ·
NASA, the OECD, the MIT Center for Coordination Science, the Center for eBusiness@MIT under a grant from Fleet Bank, and the Stanford Computer Industry Project (1) ·
National Science Foundation (1) ·
National Science Foundation (NSF) through the CAREER Award CNS-0546009. (1) ·
Naval Academy Research Council Grant (1) ·
None (3) ·
Not Stated (3) ·
Not stated (3) ·
Organisation for Economic Cooperation and Development (1) ·
Portuguese Science and Technology Foundation (1) ·
Shenkman Family Endowed Chair fund (1) ·
Stanford Institute for Economic Policy Research (1) ·
The Finnish Academy (1) ·
The Spanish Association of Publishers of Periodical Publications (Asociación Española de Editoriales de Publicaciones Periódicas) (1) ·
Treibick Electronic Commerce Initiative (1) ·
UGSC Division of Social Sciences (1) ·
WIPO (2) ·
Wikipedia Free Knowledge Advocacy Group (1) ·
∗Support for this research by NBER’s Economics of Digitization and Copyright Initiative is gratefully acknowledged. (1)
Fundamental Issues:
1. Relationship between protection (subject matter/term/scope) and supply/economic development/growth/welfare (52) ·
2. Relationship between creative process and protection - what motivates creators (e.g. attribution; control; remuneration; time allocation)? (16) ·
3. Harmony of interest assumption between authors and publishers (creators and producers/investors) (5) ·
4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption) (43) ·
5. Understanding consumption/use (e.g. determinants of unlawful behaviour; user-generated content; social media) (33)
Evidence Based Policies: (Click arrow to add another value)
Data sample size:
Data unit of assessment:
Data material year:
Data industry: (Click arrow to add another value)
Showing below up to 75 results in range #1 to #75.
View (previous 250 | next 250) (20 | 50 | 100 | 250 | 500)
A
- Aguiar and Martens (2013)
- Aguiar and Waldfogel (2014)
- Akmon (2010)
- Andersen and Frenz (2008)
- Andrés (2006b)
- Asser Institute and IViR (2014)
B
- Baker and Cunningham (2006)
- Ballon and Westermann (2006)
- Bechtold (2013)
- Bellégo and Nijs (2020)
- Bhattacharjee, Gopal, Lertwachara and Marsden (2006a)
- Bhattacharjee, Gopal, Lertwachara, Marsden and Telang (2007)
- Blackburn (2004)
- Borghi, Maggiolino, Montagnani and Nuccio (2012)
- Brynjolfsson and Smith (2000)
C
- Calzada and Gil (2016)
- Cheliotis (2007)
- Commission of the European Communities (2005a)
- Condry (2004)
- Cuntz and Bergquist (2020)
D
D cont.
E
F
G
- Ghafele and Gibert (2014)
- Giorcelli and Moser (2015)
- Givon, Mahajan and Muller (1995)
- Goodridge, Haskel and Mitra-Kahn (2012)
- Gopal, Bhattacharjee and Sanders (2006)
H
J
K
L
M
M cont.
N
O
P
R
S
- Sag (2013)
- Sandulli (2007)
- Secker, Gadd and Morrison (2019)
- Seng (2014)
- Seng (2015)
- Shmatkov (2020)
- Siwek (2009)
- Somaya and Grahan (2006)
T
W
Z
