Bogumił Kamiński
(Bogumil Kaminski)

Personal Details

First Name:	Bogumil
Middle Name:
Last Name:	Kaminski
Suffix:
RePEc Short-ID:	pka509
	[This author has chosen not to make the email address public]
	http://bogumilkaminski.pl/about/

Affiliation

Zakład Wspomagania i Analizy Decyzji
Szkoła Główna Handlowa w Warszawie

Warszawa, Poland
http://www.sgh.waw.pl/instytuty/zwiad/
RePEc:edi:iewawpl (more details at EDIRC)

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. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2017. "Mapping the Dimensions of Social Capital," KAE Working Papers 2017-025, Warsaw School of Economics, Collegium of Economic Analysis.

   Cited by:

   1. Jakub Growiec & Bogumił Kamiński & Katarzyna Growiec, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," EcoMod2017 10279, EcoMod.
      • Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," KAE Working Papers 2017-026, Warsaw School of Economics, Collegium of Economic Analysis.
   2. Mindaugas Laužikas & Mindaugas Laužikas & Aistė Miliūtė & Aistė Miliūtė, 2019. "Transformational Communication via Evolving Ethical and Moral Norms of Lithuanian Civil Service Organizations," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 1750-1761, June.
   3. Katarzyna Growiec & Jakub Growiec & Bogumił Kamiński, 2020. "Emergence of Small-World Networks in an Overlapping-Generations Model of Social Dynamics, Trust and Economic Performance," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-8.
   4. Irene Daskalopoulou, 2019. "Individual-Level Evidence on the Causal Relationship Between Social Trust and Institutional Trust," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(1), pages 275-298, July.
   5. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2018. "Social Network Dynamics: Individual-Level Mechanisms and Aggregate Outcomes," KAE Working Papers 2018-036, Warsaw School of Economics, Collegium of Economic Analysis.

2. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," KAE Working Papers 2017-026, Warsaw School of Economics, Collegium of Economic Analysis.
   • Jakub Growiec & Bogumił Kamiński & Katarzyna Growiec, 2017. "Social Network Structure and The Trade-Off Between Social Utility and Economic Performance," EcoMod2017 10279, EcoMod.

   Cited by:

   1. Katarzyna Growiec & Jakub Growiec & Bogumil Kaminski, 2018. "Social Network Dynamics: Individual-Level Mechanisms and Aggregate Outcomes," KAE Working Papers 2018-036, Warsaw School of Economics, Collegium of Economic Analysis.

Articles

1. Aluchna, Maria & Roszkowska-Menkes, Maria & Kamiński, Bogumił & Bosek-Rak, Dominika, 2022. "Do institutional investors encourage firm to social disclosure? The stakeholder salience perspective," Journal of Business Research, Elsevier, vol. 142(C), pages 674-682.

   Cited by:

   1. Jootae Kim & Sungjin Son & Ick Jin, 2022. "The Effects of Shareholding of the National Pension Fund on Environmental, Social, Governance, and Financial Performance: Evidence from the Korean Manufacturing Industry," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
   2. Ting Qian & Caoyuan Yang, 2023. "State-Owned Equity Participation and Corporations’ ESG Performance in China: The Mediating Role of Top Management Incentives," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
   3. Zhang, Jitao & Yang, Yongliang, 2023. "Can environmental disclosure improve price efficiency? The perspective of price delay," Finance Research Letters, Elsevier, vol. 52(C).
   4. Ameen Qasem & Shaker Dahan AL-Duais & Wan Nordin Wan-Hussin & Hasan Mohamad Bamahros & Abdulsalam Alquhaif & Murad Thomran, 2022. "Institutional Ownership Types and ESG Reporting: The Case of Saudi Listed Firms," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
   5. Peng, Hongfeng & Zhang, Zhenqi & Goodell, John W. & Li, Mingsheng, 2023. "Socially responsible investing: Is it for real or just for show?," International Review of Financial Analysis, Elsevier, vol. 86(C).
   6. Beck, Donizete & Ferasso, Marcos, 2023. "How can Stakeholder Capitalism contribute to achieving the Sustainable Development Goals? A Cross-network Literature Analysis," Ecological Economics, Elsevier, vol. 204(PA).
   7. Ge Ren & Ping Zeng & Xi Zhong, 2024. "Differentiation strategies and firms' environmental, social and governance: The different moderating effects of historical and social performance shortfalls," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 719-740, January.

2. Filipowski, Jacek & Kamiński, Bogumił & Mashatan, Atefeh & Prałat, Paweł & Szufel, Przemysław, 2021. "Optimization of the cost of urban traffic through an online bidding platform for commuters," Economics of Transportation, Elsevier, vol. 25(C).

   Cited by:

   1. Jou, Rong-Chang & Kuo, Chung-Wei & Chiu, Yi-Chun, 2022. "Bidding behaviors for international airline seats in short/long distance flights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 55-79.

3. Kamiński, Bogumił & Prałat, Paweł & Théberge, François, 2021. "Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure," Network Science, Cambridge University Press, vol. 9(2), pages 153-178, June.

   Cited by:

   1. Chen, Hailiang & Chen, Bin & Ai, Chuan & Zhu, Mengna & Qiu, Xiaogang, 2022. "The evolving network model with community size and distance preferences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).

4. Ulmer, Marlin & Nowak, Maciek & Mattfeld, Dirk & Kaminski, Bogumił, 2020. "Binary driver-customer familiarity in service routing," European Journal of Operational Research, Elsevier, vol. 286(2), pages 477-493.

   Cited by:

   1. Dieter, Peter & Caron, Matthew & Schryen, Guido, 2023. "Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework," European Journal of Operational Research, Elsevier, vol. 311(1), pages 283-300.
   2. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
   3. Soeffker, Ninja & Ulmer, Marlin W. & Mattfeld, Dirk C., 2022. "Stochastic dynamic vehicle routing in the light of prescriptive analytics: A review," European Journal of Operational Research, Elsevier, vol. 298(3), pages 801-820.
   4. Li, Yifu & Zhou, Chenhao & Yuan, Peixue & Ngo, Thi Tu Anh, 2023. "Experience-based territory planning and driver assignment with predicted demand and driver present condition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
   5. Quirion-Blais, Olivier & Chen, Lu, 2021. "A case-based reasoning approach to solve the vehicle routing problem with time windows and drivers’ experience," Omega, Elsevier, vol. 102(C).

5. Bogumił Kamiński & Valérie Poulin & Paweł Prałat & Przemysław Szufel & François Théberge, 2019. "Clustering via hypergraph modularity," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-15, November.

   Cited by:

   1. Chessa, Michela & Persenda, Arnaud & Torre, Dominique, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," International Economics, Elsevier, vol. 175(C), pages 1-12.
      • Michela Chessa & Arnaud Persenda & Dominique Torre, 2022. "Brexit and Canadadvent: An Application of Graphs and Hypergraphs to Recent International Trade Agreements," GREDEG Working Papers 2022-35, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
      • Michela Chessa & Arnaud Persenda & Dominique Torre, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," Post-Print hal-04194464, HAL.
      • Michela Chessa & Arnaud Persenda & Dominique Torre, 2023. "Brexit and Canadadvent: An application of graphs and hypergraphs to recent international trade agreements," Post-Print halshs-04367894, HAL.

6. Maria Aluchna & Tomasz Berent & Bogumił Kamiński, 2019. "Dividend Payouts and Shareholder Structure: Evidence from the Warsaw Stock Exchange," Eastern European Economics, Taylor & Francis Journals, vol. 57(3), pages 227-250, May.

   Cited by:

   1. Aleksandra Pieloch-Babiarz, 2022. "Catering to investor sentiment for dividends: contestability or collusion of the largest shareholders?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(2), pages 435-457, June.
   2. Aleksandra Pieloch-Babiarz, 2019. "Ownership structure, board characteristics and dividend policy: evidence from the Warsaw Stock Exchange," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 18(3), pages 317-330, September.
   3. Tomasz Berent & Radosław Rejman, 2021. "Bankruptcy Prediction with a Doubly Stochastic Poisson Forward Intensity Model and Low-Quality Data," Risks, MDPI, vol. 9(12), pages 1-24, December.

7. Bogumił Kamiński & Michał Jakubczyk & Przemysław Szufel, 2018. "A framework for sensitivity analysis of decision trees," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 135-159, March.

   Cited by:

   1. Deac Dan Stelian & Schebesch Klaus Bruno, 2018. "Market Forecasts and Client Behavioral Data: Towards Finding Adequate Model Complexity," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 28(3), pages 50-75, September.
   2. Fieberg, Christian & Günther, Steffen & Poddig, Thorsten & Zaremba, Adam, 2024. "Non-standard errors in the cryptocurrency world," International Review of Financial Analysis, Elsevier, vol. 92(C).
   3. Michelle Sapitang & Wanie M. Ridwan & Khairul Faizal Kushiar & Ali Najah Ahmed & Ahmed El-Shafie, 2020. "Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
   4. Dongfen Li & Yundan Zheng & Xiaofang Liu & Jie Zhou & Yuqiao Tan & Xiaolong Yang & Mingzhe Liu, 2022. "Hierarchical Quantum Information Splitting of an Arbitrary Two-Qubit State Based on a Decision Tree," Mathematics, MDPI, vol. 10(23), pages 1-18, December.
   5. Jorge Omar Razo-De-Anda & Luis Lorenzo Romero-Castro & Francisco Venegas-Martínez, 2023. "Contagion Patterns Classification in Stock Indices: A Functional Clustering Analysis Using Decision Trees," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
   6. Jana Gerlach & Paul Hoppe & Sarah Jagels & Luisa Licker & Michael H. Breitner, 2022. "Decision support for efficient XAI services - A morphological analysis, business model archetypes, and a decision tree," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2139-2158, December.
   7. Dimitar Haralampiev Popov, 2022. "SME Viability Assessment Methodology: Combining Altman's Z-Score with Big Data," Bulgarian Economic Papers bep-2022-04, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Jun 2022.
   8. João R. B. Paiva & Alana S. Magalhães & Pedro H. F. Moraes & Júnio S. Bulhões & Wesley P. Calixto, 2021. "Stability Metric Based on Sensitivity Analysis Applied to Electrical Repowering System," Energies, MDPI, vol. 14(22), pages 1-21, November.
   9. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
   10. Tymoteusz Miller & Grzegorz Mikiciuk & Anna Kisiel & Małgorzata Mikiciuk & Dominika Paliwoda & Lidia Sas-Paszt & Danuta Cembrowska-Lech & Adrianna Krzemińska & Agnieszka Kozioł & Adam Brysiewicz, 2023. "Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
   11. Kamyab Karimi & Ali Ghodratnama & Reza Tavakkoli-Moghaddam, 2023. "Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis," Annals of Operations Research, Springer, vol. 328(1), pages 665-700, September.
   12. Abdul Majeed, 2019. "Improving Time Complexity and Accuracy of the Machine Learning Algorithms Through Selection of Highly Weighted Top k Features from Complex Datasets," Annals of Data Science, Springer, vol. 6(4), pages 599-621, December.
   13. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
   14. Ivan Miguel Pires & Faisal Hussain & Nuno M. Garcia & Petre Lameski & Eftim Zdravevski, 2020. "Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification," Future Internet, MDPI, vol. 12(11), pages 1-14, November.
   15. Fabrizio De Caro & Amedeo Andreotti & Rodolfo Araneo & Massimo Panella & Antonello Rosato & Alfredo Vaccaro & Domenico Villacci, 2020. "A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data," Energies, MDPI, vol. 13(24), pages 1-25, December.

8. Michał Jakubczyk & Bogumił Kamiński, 2017. "Fuzzy approach to decision analysis with multiple criteria and uncertainty in health technology assessment," Annals of Operations Research, Springer, vol. 251(1), pages 301-324, April.

   Cited by:

   1. Michał Jakubczyk & Dominik Golicki, 2020. "Elicitation and modelling of imprecise utility of health states," Theory and Decision, Springer, vol. 88(1), pages 51-71, February.
   2. Mohd Hilmi Hasan & Jafreezal Jaafar & Junzo Watada & Mohd Fadzil Hassan & Izzatdin Abdul Aziz, 2021. "An interval type-2 fuzzy model of compliance monitoring for quality of web service," Annals of Operations Research, Springer, vol. 300(2), pages 415-441, May.
   3. Sabine E. Grimm & Xavier Pouwels & Bram L. T. Ramaekers & Ben Wijnen & Thomas Otten & Janneke Grutters & Manuela A. Joore, 2021. "State of the ART? Two New Tools for Risk Communication in Health Technology Assessments," PharmacoEconomics, Springer, vol. 39(10), pages 1185-1196, October.
   4. Jose M. Gonzalez-Cava & José Antonio Reboso & José Luis Casteleiro-Roca & José Luis Calvo-Rolle & Juan Albino Méndez Pérez, 2018. "A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine," Complexity, Hindawi, vol. 2018, pages 1-15, February.

9. Kamiński, Bogumił, 2015. "A method for the updating of stochastic kriging metamodels," European Journal of Operational Research, Elsevier, vol. 247(3), pages 859-866.

   Cited by:

   1. Kleijnen, Jack P.C., 2017. "Regression and Kriging metamodels with their experimental designs in simulation: A review," European Journal of Operational Research, Elsevier, vol. 256(1), pages 1-16.
      • Kleijnen, J.P.C., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Other publications TiSEM c592e895-1656-43c3-8c7e-f, Tilburg University, School of Economics and Management.
      • Kleijnen, J.P.C., 2015. "Regression and Kriging Metamodels with Their Experimental Designs in Simulation : Review," Discussion Paper 2015-035, Tilburg University, Center for Economic Research.
   2. Rodriguez, Sergio & Ludkovski, Michael, 2020. "Probabilistic bisection with spatial metamodels," European Journal of Operational Research, Elsevier, vol. 286(2), pages 588-603.
   3. Chen, Xi & Zhou, Qiang, 2017. "Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation," European Journal of Operational Research, Elsevier, vol. 262(2), pages 575-585.

10. Michał Jakubczyk & Bogumił Kamiński, 2010. "Cost‐effectiveness acceptability curves – caveats quantified," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 955-963, August.

    Cited by:

    1. Ernst, Richard, 2017. "Theories of Health Care Cost-Effectiveness Analysis," SocArXiv gjbcp, Center for Open Science.
    2. Maiwenn Al, 2013. "Cost-Effectiveness Acceptability Curves Revisited," PharmacoEconomics, Springer, vol. 31(2), pages 93-100, February.
    3. Michał Jakubczyk & Bogumił Kamiński, 2017. "Fuzzy approach to decision analysis with multiple criteria and uncertainty in health technology assessment," Annals of Operations Research, Springer, vol. 251(1), pages 301-324, April.
    4. Klemen Naveršnik, 2015. "Output correlations in probabilistic models with multiple alternatives," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 133-139, March.
    5. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & Negrín, M.A., 2012. "Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis," European Journal of Operational Research, Elsevier, vol. 218(2), pages 512-522.
    6. Dirk Müller & Eleanor Pullenayegum & Afschin Gandjour, 2015. "Impact of small study bias on cost-effectiveness acceptability curves and value of information analyses," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 219-223, March.

11. Kaminski, B., 2007. "On quasi-orderings and multi-objective functions," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1591-1598, March.

    Cited by:

    1. Cosimo Munari, 2020. "Multi-utility representations of incomplete preferences induced by set-valued risk measures," Papers 2009.04151, arXiv.org.
    2. Cosimo Munari, 2021. "Multi-utility representations of incomplete preferences induced by set-valued risk measures," Finance and Stochastics, Springer, vol. 25(1), pages 77-99, January.
    3. Pivato, Marcus, 2012. "Multiutility representations for incomplete difference preorders," MPRA Paper 41182, University Library of Munich, Germany.
       • Pivato, Marcus, 2013. "Multiutility representations for incomplete difference preorders," Mathematical Social Sciences, Elsevier, vol. 66(3), pages 196-220.
    4. Gianni Bosi & Asier Estevan & Armajac Raventós-Pujol, 2020. "Topologies for semicontinuous Richter–Peleg multi-utilities," Theory and Decision, Springer, vol. 88(3), pages 457-470, April.
    5. Alcantud, José Carlos R. & Bosi, Gianni & Zuanon, Magalì, 2013. "Representations of preorders by strong multi-objective functions," MPRA Paper 52329, University Library of Munich, Germany.
    6. Pedro Hack & Daniel A. Braun & Sebastian Gottwald, 2022. "Representing preorders with injective monotones," Theory and Decision, Springer, vol. 93(4), pages 663-690, November.
    7. Marcus Pivato, 2020. "Subjective expected utility with a spectral state space," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(2), pages 249-313, March.

Chapters

1. Bogumil Kaminski & Marcin Czupryna & Tomasz Szapiro, 2009. "On Conditional Value-at-Risk Based Goal Programming Portfolio Selection Procedure," Lecture Notes in Economics and Mathematical Systems, in: Vincent Barichard & Matthias Ehrgott & Xavier Gandibleux & Vincent T'Kindt (ed.), Multiobjective Programming and Goal Programming, pages 243-252, Springer.

   Cited by:

   1. Bilbao-Terol, Amelia & Arenas-Parra, Mar & Cañal-Fernández, Verónica, 2016. "A model based on Copula Theory for sustainable and social responsible investments," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 55-76.
   2. Amelia Bilbao-Terol & Mar Arenas-Parra & Verónica Cañal-Fernández & Celia Bilbao-Terol, 2013. "Selection of Socially Responsible Portfolios Using Hedonic Prices," Journal of Business Ethics, Springer, vol. 115(3), pages 515-529, July.
   3. Álvarez-Miranda, Eduardo & Garcia-Gonzalo, Jordi & Ulloa-Fierro, Felipe & Weintraub, Andrés & Barreiro, Susana, 2018. "A multicriteria optimization model for sustainable forest management under climate change uncertainty: An application in Portugal," European Journal of Operational Research, Elsevier, vol. 269(1), pages 79-98.
   4. Amelia Bilbao-Terol & Mar Arenas-Parra & Verónica Cañal-Fernández & Celia Bilbao-Terol, 2016. "Multi-criteria decision making for choosing socially responsible investment within a behavioral portfolio theory framework: a new way of investing into a crisis environment," Annals of Operations Research, Springer, vol. 247(2), pages 549-580, December.

2. Maciej Latek & Bogumil Kaminski, 2009. "Social Learning and Pricing Obfuscation," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 103-114, Springer.

   Cited by:

   1. Richards, Timothy J. & Klein, Gordon & Bonnet, Celine & Bouamra-Mechemache, Zohra, 2017. "Strategic Obfuscation and Retail Pricing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258021, Agricultural and Applied Economics Association.
      • Zohra Bouamra & Timothy Richards & Gordon Klein & Céline Bonnet & Zohra Bouamra-Mechemache, 2020. "Strategic Obfuscation and Retail Pricing," Post-Print hal-02902690, HAL.
      • Bonnet, Céline & Bouamra-Mechemache, Zohra & Klein, Gordon & Richards, Timothy J., 2016. "Strategic Obfuscation and Retail Pricing," TSE Working Papers 16-733, Toulouse School of Economics (TSE).
      • Timothy J. Richards & Gordon J. Klein & Celine Bonnet & Zohra Bouamra-Mechemache, 2020. "Strategic Obfuscation and Retail Pricing," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(4), pages 859-889, December.

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 6 papers 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-SOC: Social Norms and Social Capital (3) 2017-03-26 2017-04-16 2017-04-16
2. NEP-CMP: Computational Economics (2) 2017-04-16 2018-05-28
3. NEP-COM: Industrial Competition (2) 2006-07-15 2012-09-22
4. NEP-HAP: Economics of Happiness (2) 2017-03-26 2017-04-16
5. NEP-NET: Network Economics (2) 2017-03-26 2017-04-16
6. NEP-CTA: Contract Theory and Applications (1) 2012-09-22
7. NEP-HPE: History and Philosophy of Economics (1) 2017-03-26
8. NEP-IND: Industrial Organization (1) 2012-09-22
9. NEP-MIC: Microeconomics (1) 2012-09-22
10. NEP-MKT: Marketing (1) 2012-09-22
11. NEP-TRA: Transition Economics (1) 2017-03-26
12. NEP-UPT: Utility Models and Prospect Theory (1) 2017-04-16
13. NEP-URE: Urban and Real Estate Economics (1) 2018-05-28

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