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Rense Corten

Personal Details

First Name:Rense
Middle Name:
Last Name:Corten
Suffix:
RePEc Short-ID:pco497
[This author has chosen not to make the email address public]
http://www.fss.uu.nl/soc/corten/

Affiliation

Sociologie/ICS, Universiteit Utrecht

http://www.uu.nl/uupublish/onderzoek/onderzoekcentra/ics/12951main.html
The Netherlands, Utrecht

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Bojanowski, Michał & Corten, Rense & Westborck, Bastian, 2009. "The structure and dynamics of the global network of inter-firm R&D partnerships 1989-2002," MPRA Paper 15741, University Library of Munich, Germany.
  2. Corten, Rense & Dronkers, J., 2005. "School Achievement of Pupils From the Lower Strata in Public, Private Government-Dependent and Private Government-Independent Schools: A cross-national test of the Coleman-Hoffer thesis," MPRA Paper 21885, University Library of Munich, Germany.

Articles

  1. Frey Vincenz & Corten Rense & Buskens Vincent, 2012. "Equilibrium Selection in Network Coordination Games: An Experimental Study," Review of Network Economics, De Gruyter, vol. 11(3), pages 1-28, September.
  2. Michał Bojanowski & Rense Corten & Bastian Westbrock, 2012. "The structure and dynamics of the global network of inter-firm R&D partnerships 1989–2002," The Journal of Technology Transfer, Springer, vol. 37(6), pages 967-987, December.
  3. Rense Corten, 2011. "Visualization of social networks in Stata using multidimensional scaling," Stata Journal, StataCorp LP, vol. 11(1), pages 52-63, March.

Software components

  1. Rense Corten, 2010. "PAJEK2STATA: Stata module to import network data in Pajek's .net format," Statistical Software Components S457149, Boston College Department of Economics.
  2. Rense Corten, 2010. "NETPLOT: Stata module to provide social network visualization," Statistical Software Components S457142, Boston College Department of Economics, revised 14 Oct 2010.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Bojanowski, Michał & Corten, Rense & Westborck, Bastian, 2009. "The structure and dynamics of the global network of inter-firm R&D partnerships 1989-2002," MPRA Paper 15741, University Library of Munich, Germany.

    Cited by:

    1. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," The Journal of Technology Transfer, Springer, vol. 39(5), pages 716-747, October.
    2. Ferraris, Alberto & Devalle, Alain & Ciampi, Francesco & Couturier, Jerome, 2019. "Are global R&D partnerships enough to increase a company's innovation performance? The role of search and integrative capacities," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    3. Rosa Caiazza & Aileen Richardson & David Audretsch, 2015. "Knowledge effects on competitiveness: from firms to regional advantage," The Journal of Technology Transfer, Springer, vol. 40(6), pages 899-909, December.
    4. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Structure of global buyer-supplier networks and its implications for conflict minerals regulations," Papers 1505.02274, arXiv.org.
    5. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Structure of global buyer-supplier networks and its implications for conflict minerals regulations," UTokyo Price Project Working Paper Series 053, University of Tokyo, Graduate School of Economics.
    6. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Structure of global buyer-supplier networks and its implications for conflict minerals regulations," CARF F-Series CARF-F-362, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

  2. Corten, Rense & Dronkers, J., 2005. "School Achievement of Pupils From the Lower Strata in Public, Private Government-Dependent and Private Government-Independent Schools: A cross-national test of the Coleman-Hoffer thesis," MPRA Paper 21885, University Library of Munich, Germany.

    Cited by:

    1. Dronkers, Jaap & Avram, S, 2009. "A cross-national analysis of the relations between school choice and effectiveness differences between private-dependent and public schools," MPRA Paper 23911, University Library of Munich, Germany.
    2. Mladen Stamenković & Ivan Anić & Marijana Petrović & Nataša Bojković, 2016. "An ELECTRE approach for evaluating secondary education profiles: evidence from PISA survey in Serbia," Annals of Operations Research, Springer, vol. 245(1), pages 337-358, October.
    3. Hanushek, Eric A. & Wößmann, Ludger, . "The Economics of International Differences in Educational Achievement," Chapters in Economics,, University of Munich, Department of Economics.
    4. Josep-Oriol Escardíbul & Nehal Helmy, 2014. "School Autonomy Impact on the Quality of Education: The case of Tunisia and Jordan," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 26, pages 501-514, Asociación de Economía de la Educación.
    5. Dronkers, J. & Robert, Peter, 2005. "School choice in the light of the effectiveness differences of various types of public and private school in 19 OECD countries," MPRA Paper 21888, University Library of Munich, Germany.
    6. Raphaela Schlicht & Isabelle Stadelmann-Steffen & Markus Freitag, 2010. "Educational Inequality in the EU," European Union Politics, , vol. 11(1), pages 29-59, March.
    7. Luis Beccaria & Pablo Alfredo Gluzmann, 2013. "Medición de los Ingresos y la Pobreza Oficial en América Latina y el Caribe," CEDLAS, Working Papers 0148, CEDLAS, Universidad Nacional de La Plata.
    8. Jorge Calero & Josep-Oriol Escardíbul, 2007. "Evaluación de servicios educativos: el rendimiento en los centros públicos y privados medido en PISA-2003," Hacienda Pública Española / Review of Public Economics, IEF, vol. 183(4), pages 33-66, december.
    9. M-J Mancebón & J Calero & Á Choi & D P Ximénez-de-Embún, 2012. "The efficiency of public and publicly subsidized high schools in Spain: Evidence from PISA-2006," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(11), pages 1516-1533, November.
    10. Arnaud Lefranc, 2010. "Unequal Opportunities and Ethnic Origin: The Labor Market Outcomes of Second-Generation Immigrants in France," Post-Print hal-01648185, HAL.
    11. Josep-Oriol Escardíbul & Nehal Helmy, 2015. "Decentralisation and school autonomy impact on the quality of education: the case of two MENA countries," Working Papers 2015/33, Institut d'Economia de Barcelona (IEB).
    12. Dimitri Van Maele & Mieke Van Houtte, 2011. "The Quality of School Life: Teacher-Student Trust Relationships and the Organizational School Context," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 100(1), pages 85-100, January.
    13. Dronkers, J & Avram, S, 2008. "Choice and Effectiveness of Private and Public Schools in six countries. A reanalysis of three PISA data sets," MPRA Paper 21578, University Library of Munich, Germany, revised 2009.
    14. Sebastian Galiani & Ricardo Perez-Truglia, 2013. "School Management in Developing Countries," CEDLAS, Working Papers 0147, CEDLAS, Universidad Nacional de La Plata.

Articles

  1. Frey Vincenz & Corten Rense & Buskens Vincent, 2012. "Equilibrium Selection in Network Coordination Games: An Experimental Study," Review of Network Economics, De Gruyter, vol. 11(3), pages 1-28, September.

    Cited by:

    1. Vincent Buskens & Chris Snijders, 2016. "Effects of Network Characteristics on Reaching the Payoff-Dominant Equilibrium in Coordination Games: A Simulation study," Dynamic Games and Applications, Springer, vol. 6(4), pages 477-494, December.
    2. Cartwright, Edward & Singh, Thomas B., 2018. "Observation and contagion effects in cooperation: An experimental investigation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 151-160.
    3. Antinyan, Armenak & Horváth, Gergely & Jia, Mofei, 2020. "Positional concerns and social network structure: An experiment," European Economic Review, Elsevier, vol. 129(C).
    4. Ennio Bilancini & Leonardo Boncinelli, 2020. "The evolution of conventions under condition-dependent mistakes," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(2), pages 497-521, March.
    5. Syngjoo Choi & Edoardo Gallo & Shachar Kariv, 2015. "Networks in the laboratory," Cambridge Working Papers in Economics 1551, Faculty of Economics, University of Cambridge.
    6. Michael Mäs & Dirk Helbing, 2020. "Random Deviations Improve Micro–Macro Predictions: An Empirical Test," Sociological Methods & Research, , vol. 49(2), pages 387-417, May.
    7. Alberto Antonioni & Maria Paula Cacault & Rafael Lalive & Marco Tomassini, 2013. "Coordination on Networks: Does Topology Matter?," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.

  2. Michał Bojanowski & Rense Corten & Bastian Westbrock, 2012. "The structure and dynamics of the global network of inter-firm R&D partnerships 1989–2002," The Journal of Technology Transfer, Springer, vol. 37(6), pages 967-987, December.
    See citations under working paper version above.
  3. Rense Corten, 2011. "Visualization of social networks in Stata using multidimensional scaling," Stata Journal, StataCorp LP, vol. 11(1), pages 52-63, March.

    Cited by:

    1. Ayu Pratiwi & Aya Suzuki, 2017. "Effects of farmers’ social networks on knowledge acquisition: lessons from agricultural training in rural Indonesia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-23, December.
    2. Yunmi Park, 2015. "The network of patterns: creating a design guide using Christopher Alexander's pattern language," Environment and Planning B, , vol. 42(4), pages 593-614, July.
    3. Hirotaka Miura, 2011. "SGL: Stata Graph Library for network analysis," CHI11 Stata Conference 7, Stata Users Group.

Software components

  1. Rense Corten, 2010. "PAJEK2STATA: Stata module to import network data in Pajek's .net format," Statistical Software Components S457149, Boston College Department of Economics.

    Cited by:

    1. Hirotaka Miura, 2012. "Stata graph library for network analysis," Stata Journal, StataCorp LP, vol. 12(1), pages 94-129, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CSE: Economics of Strategic Management (1) 2009-07-03
  2. NEP-INO: Innovation (1) 2009-07-03
  3. NEP-MIC: Microeconomics (1) 2009-07-03
  4. NEP-NET: Network Economics (1) 2009-07-03

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