IDEAS home Printed from https://ideas.repec.org/f/pva752.html
   My authors  Follow this author

Martijn van Hasselt

Personal Details

First Name:Martijn
Middle Name:
Last Name:van Hasselt
Suffix:
RePEc Short-ID:pva752
[This author has chosen not to make the email address public]

Affiliation

Economics Department
Bryan School of Business and Economics
University of North Carolina-Greensboro

Greensboro, North Carolina (United States)
https://bryan.uncg.edu/department/economics/
RePEc:edi:edncgus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. Guerrero, Maribel & Link, Albert & van Hasselt, Martijn, 2023. "The Transfer of Federally Funded Technology: A Study of Small, Entrepreneurial, and Ambidextrous Firms," UNCG Economics Working Papers 23-3, University of North Carolina at Greensboro, Department of Economics.
  2. Chowdhury, Farhat & Link, Albert & van Hasselt, Martijn, 2022. "Public Support for Research in Artificial Intelligence: A Descriptive Study of U.S. Department of Defense SBIR Projects," UNCG Economics Working Papers 22-3, University of North Carolina at Greensboro, Department of Economics.
  3. Chowdhury, Farhat & Link, Albert & van Hasselt, Martijn, 2022. "The Spatial Distribution of Public Support for AI Research," UNCG Economics Working Papers 22-4, University of North Carolina at Greensboro, Department of Economics.
  4. Link, Albert & Swann, Christopher & van Hasselt, Martijn, 2022. "An Assessment of the U.S. Small Business Innovation Research (SBIR) Program: A Study of Project Failure," UNCG Economics Working Papers 22-7, University of North Carolina at Greensboro, Department of Economics.
  5. Link, Albert & Morris, Cody & van Hasselt, Martijn, 2020. "The Impact of the Third Sector of R&D on the Innovative Performance of Entrepreneurial Firms," UNCG Economics Working Papers 20-2, University of North Carolina at Greensboro, Department of Economics.
  6. Link, Albert & van Hasselt, Martijn, 2020. "The Use of Intellectual Property Protection Mechanisms by Publicly Supported Firms," UNCG Economics Working Papers 20-9, University of North Carolina at Greensboro, Department of Economics.
  7. Link, Albert & van Hasselt, Martijn & Vismara, Silvio, 2020. "Going Public with Public Money," UNCG Economics Working Papers 20-4, University of North Carolina at Greensboro, Department of Economics.
  8. Link, Albert & van Hasselt, Martijn, 2019. "Exploring the Impact of R&D on Patenting Activity in Small Women-Owned and Minority-Owned Entrepreneurial Firms," UNCG Economics Working Papers 19-2, University of North Carolina at Greensboro, Department of Economics.
  9. Link, Albert & van Hasselt, Martijn, 2019. "On the Transfer of Technology from Universities: The Impact of the Bayh-Dole Act of 1980 on the Institutionalization of University Research," UNCG Economics Working Papers 19-10, University of North Carolina at Greensboro, Department of Economics.
  10. van Hasselt, Martijn & Bollinger, Christopher & Bray, Jeremy, 2019. "A Bayesian Approach to Account for Misclassification in Prevalence and Trend Estimation," UNCG Economics Working Papers 19-13, University of North Carolina at Greensboro, Department of Economics.
  11. Link, Albert & van Hasselt, Martijn, 2019. "A Public Sector Knowledge Production Function," UNCG Economics Working Papers 19-3, University of North Carolina at Greensboro, Department of Economics.
  12. Audretsch, David & Link, Albert & van Hasselt, Martijn, 2019. "Knowledge Begets Knowledge: Knowledge Spillovers and the Output of Scientific Papers from U.S. Small Business Innovation Research (SBIR) Projects," UNCG Economics Working Papers 19-12, University of North Carolina at Greensboro, Department of Economics.
  13. Jonathan Norris & Martijn van Hasselt, 2019. "Troubled in school: does maternal involvement matter for adolescents?," Working Papers 1906, University of Strathclyde Business School, Department of Economics.
  14. Link, Albert & Morris, Cody & van Hasselt, Martijn, 2018. "The Impact of Public R&D Investments on Patenting Activity: Technology Transfer at the U.S> Environmental Protection Agency," UNCG Economics Working Papers 18-8, University of North Carolina at Greensboro, Department of Economics.
  15. van Hasselt, Martijn & Ferland, Timothy & Bray, Jeremy & Aldridge, Arnie, 2017. "Bayesian Estimation of the Complier Average Casual Effect," UNCG Economics Working Papers 17-14, University of North Carolina at Greensboro, Department of Economics.
  16. Martijn van Hasselt, 2005. "Bayesian Sampling Algorithms for the Sample Selection and Two-Part Models," Computing in Economics and Finance 2005 241, Society for Computational Economics.
  17. Jesse M. Pines & Vincent Keyes & Martijn van Hasselt & Nancy McCall, "undated". "Emergency Department and Inpatient Hospital Use by Medicare Beneficiaries in Patient-Centered Medical Homes," Mathematica Policy Research Reports bd8cc720cc374d9cb3054d932, Mathematica Policy Research.

Articles

  1. William J. Parish & Arnie Aldridge & Martijn van Hasselt, 2024. "A Bayesian method for addressing multinomial misclassification with applications for alcohol epidemiological modeling," Stata Journal, StataCorp LP, vol. 24(1), pages 113-137, March.
  2. Farhat Chowdhury & Albert N Link & Martijn van Hasselt, 2022. "The spatial distribution of public support for AI research [Agglomeration and Productivity: Evidence from Firm-Level Data]," Science and Public Policy, Oxford University Press, vol. 49(4), pages 573-579.
  3. Albert N Link & Christopher A Swann & Martijn van Hasselt, 2022. "An assessment of the US Small Business Innovation Research (SBIR) program: A study of project failure [On the Failure of Scientific Research: An Analysis of SBIR Projects Funded by the U.S. Nationa," Science and Public Policy, Oxford University Press, vol. 49(6), pages 972-978.
  4. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
  5. Albert N. Link & Martijn van Hasselt, 2022. "The use of intellectual property protection mechanisms by publicly supported firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(1-2), pages 111-121, February.
  6. Farhat Chowdhury & Albert N. Link & Martijn Hasselt, 2022. "Public support for research in artificial intelligence: a descriptive study of U.S. Department of Defense SBIR Projects," The Journal of Technology Transfer, Springer, vol. 47(3), pages 762-774, June.
  7. Albert N. Link & Cody A. Morris & Martijn Hasselt, 2021. "The impact of the third sector of R&D on the innovative performance of entrepreneurial firms," Small Business Economics, Springer, vol. 57(3), pages 1413-1418, October.
  8. Albert N. Link & Martijn Hasselt & Silvio Vismara, 2021. "Going public with public money," Small Business Economics, Springer, vol. 57(3), pages 1419-1426, October.
  9. Albert N. Link & Martijn Hasselt, 2020. "Exploring the impact of R&D on patenting activity in small women-owned and minority-owned entrepreneurial firms," Small Business Economics, Springer, vol. 54(4), pages 1061-1066, April.
  10. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).
  11. David B. Audretsch & Albert N. Link & Martijn Hasselt, 2019. "Knowledge begets knowledge: university knowledge spillovers and the output of scientific papers from U.S. Small Business Innovation Research (SBIR) projects," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1367-1383, December.
  12. Albert N. Link & Cody A. Morris & Martijn van Hasselt, 2019. "The impact of public R&D investments on patenting activity: technology transfer at the U.S. Environmental Protection Agency," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(5), pages 536-546, July.
  13. Link, Albert N. & van Hasselt, Martijn, 2019. "On the transfer of technology from universities: The impact of the Bayh–Dole Act of 1980 on the institutionalization of university research," European Economic Review, Elsevier, vol. 119(C), pages 472-481.
  14. Link, Albert N. & van Hasselt, Martijn, 2019. "A public sector knowledge production function," Economics Letters, Elsevier, vol. 175(C), pages 64-66.
  15. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "A Bayesian analysis of binary misclassification," Economics Letters, Elsevier, vol. 156(C), pages 68-73.
  16. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
  17. Michael P Anastario & Monica Adhiambo Onyango & Joan Nyanyuki & Karen Naimer & Rachel Muthoga & Susannah Sirkin & Kelle Barrick & Martijn van Hasselt & Wilson Aruasa & Cynthia Kibet & Grace Omollo, 2014. "Time Series Analysis of Sexual Assault Case Characteristics and the 2007–2008 Period of Post-Election Violence in Kenya," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-6, August.
  18. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.
  19. van Hasselt, Martijn, 2011. "Bayesian inference in a sample selection model," Journal of Econometrics, Elsevier, vol. 165(2), pages 221-232.
  20. Hasselt, Martijn van, 2010. "Many Instruments Asymptotic Approximations Under Nonnormal Error Distributions," Econometric Theory, Cambridge University Press, vol. 26(2), pages 633-645, April.

Books

  1. Albert N. Link & Martijn van Hasselt, 2023. "Small Firms and U.S. Technology Policy," Books, Edward Elgar Publishing, number 21189.

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Measurement

Working papers

  1. Guerrero, Maribel & Link, Albert & van Hasselt, Martijn, 2023. "The Transfer of Federally Funded Technology: A Study of Small, Entrepreneurial, and Ambidextrous Firms," UNCG Economics Working Papers 23-3, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. David B. Audretsch & Maribel Guerrero, 2023. "Is ambidexterity the missing link between entrepreneurship, management, and innovation?," The Journal of Technology Transfer, Springer, vol. 48(6), pages 1891-1918, December.

  2. Chowdhury, Farhat & Link, Albert & van Hasselt, Martijn, 2022. "Public Support for Research in Artificial Intelligence: A Descriptive Study of U.S. Department of Defense SBIR Projects," UNCG Economics Working Papers 22-3, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Sven Wolff & Christina Guenther & Petra Moog & David B. Audretsch, 2023. "The geography of the continuum of entrepreneurship activities—a first glance based on German data," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1243-1273, August.
    2. Alessandra Colombelli & Elettra D’Amico & Emilio Paolucci, 2023. "When computer science is not enough: universities knowledge specializations behind artificial intelligence startups in Italy," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1599-1627, October.
    3. Goel, Rajeev K. & Nelson, Michael A., 2023. "Awareness of artificial intelligence: Diffusion of information about AI versus ChatGPT in the United States," Kiel Working Papers 2259, Kiel Institute for the World Economy (IfW Kiel).
    4. Jaehyuk Park, 2024. "Analyzing the direct role of governmental organizations in artificial intelligence innovation," The Journal of Technology Transfer, Springer, vol. 49(2), pages 437-465, April.
    5. Arturo Vega & Claudia Gabbioneta & Carlos Osorio & James Cunningham, 2024. "A micro-level study of research impact and motivational diversity," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1303-1346, August.

  3. Chowdhury, Farhat & Link, Albert & van Hasselt, Martijn, 2022. "The Spatial Distribution of Public Support for AI Research," UNCG Economics Working Papers 22-4, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Dahlke, Johannes & Beck, Mathias & Kinne, Jan & Lenz, David & Dehghan, Robert & Wörter, Martin & Ebersberger, Bernd, 2024. "Epidemic effects in the diffusion of emerging digital technologies: evidence from artificial intelligence adoption," Research Policy, Elsevier, vol. 53(2).

  4. Link, Albert & Swann, Christopher & van Hasselt, Martijn, 2022. "An Assessment of the U.S. Small Business Innovation Research (SBIR) Program: A Study of Project Failure," UNCG Economics Working Papers 22-7, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. David B. Audretsch & Maksim Belitski & Farzana Chowdhury, 2024. "Knowledge investment and search for innovation: evidence from the UK firms," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1387-1410, August.
    2. Sergio Salles-Filho & Bruno Fischer & Yohanna Juk & Paulo Feitosa & Fernando A. B. Colugnati, 2023. "Acknowledging diversity in knowledge-intensive entrepreneurship: assessing the Brazilian small business innovation research," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1446-1465, August.
    3. David B. Audretsch & Maksim Belitski & Rosa Caiazza & Farzana Chowdhury & Matthias Menter, 2023. "Entrepreneurial growth, value creation and new technologies," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1535-1551, October.
    4. Sara Nienow & Olena Leonchuk & Alan C O’Connor & Albert N Link, 2024. "Bringing technology to market: National Heart, Lung, and Blood Institute SBIR Phase IIB projects," Science and Public Policy, Oxford University Press, vol. 51(1), pages 144-148.
    5. Audretsch, David B. & Belitski, Maksim, 2024. "Knowledge collaboration, firm productivity and innovation: A critical assessment," Journal of Business Research, Elsevier, vol. 172(C).

  5. Link, Albert & Morris, Cody & van Hasselt, Martijn, 2020. "The Impact of the Third Sector of R&D on the Innovative Performance of Entrepreneurial Firms," UNCG Economics Working Papers 20-2, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Bertello, Alberto & Battisti, Enrico & De Bernardi, Paola & Bresciani, Stefano, 2022. "An integrative framework of knowledge-intensive and sustainable entrepreneurship in entrepreneurial ecosystems," Journal of Business Research, Elsevier, vol. 142(C), pages 683-693.
    2. María García-Vega & Óscar Vicente-Chirivella, 2020. "The effect of technology transfers from public research institutes and universities on firm innovativeness," Discussion Papers 2020-10, University of Nottingham, GEP.
    3. Thomas H. W. Ziesemer, 2022. "Foreign R&D spillovers to the USA and strategic reactions," Applied Economics, Taylor & Francis Journals, vol. 54(37), pages 4274-4291, August.
    4. Guerrero, Maribel & Link, Albert, 2021. "Public Support of Innovative Activity in Small and Large Firms in Mexico," UNCG Economics Working Papers 21-4, University of North Carolina at Greensboro, Department of Economics.
    5. Link, Albert, 2020. "Investments in R&D and Innovative Behavior: An Exploratory Cross-Country Study," UNCG Economics Working Papers 20-10, University of North Carolina at Greensboro, Department of Economics.
    6. David B. Audretsch & Albert N. Link & Erik E. Lehmann, 2020. "Introduction: Entrepreneurship and Industrial Organization," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 57(3), pages 515-518, November.
    7. García-Vega, María & Vicente-Chirivella, Óscar, 2024. "The role of public external knowledge for firm innovativeness," International Journal of Industrial Organization, Elsevier, vol. 93(C).

  6. Link, Albert & van Hasselt, Martijn, 2020. "The Use of Intellectual Property Protection Mechanisms by Publicly Supported Firms," UNCG Economics Working Papers 20-9, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Guerrero, Maribel & Link, Albert & van Hasselt, Martijn, 2023. "The Transfer of Federally Funded Technology: A Study of Small, Entrepreneurial, and Ambidextrous Firms," UNCG Economics Working Papers 23-3, University of North Carolina at Greensboro, Department of Economics.
    2. Christopher S. Hayter & Albert N. Link, 2022. "From discovery to commercialization: accretive intellectual property strategies among small, knowledge-based firms," Small Business Economics, Springer, vol. 58(3), pages 1367-1377, March.

  7. Link, Albert & van Hasselt, Martijn & Vismara, Silvio, 2020. "Going Public with Public Money," UNCG Economics Working Papers 20-4, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Yuji Honjo & Koki Kurihara, 2023. "Graduation of initial public offering firms from junior stock markets: evidence from the Tokyo Stock Exchange," Small Business Economics, Springer, vol. 60(2), pages 813-841, February.
    2. Massimo G. Colombo & Benedetta Montanaro & Silvio Vismara, 2023. "What drives the valuation of entrepreneurial ventures? A map to navigate the literature and research directions," Small Business Economics, Springer, vol. 61(1), pages 59-84, June.
    3. Silvio Vismara, 2022. "Expanding corporate finance perspectives to equity crowdfunding," The Journal of Technology Transfer, Springer, vol. 47(6), pages 1629-1639, December.
    4. Mengyang Pan & Aravind Chandrasekaran & James Hill & Manus Rungtusanatham, 2022. "Multidisciplinary R&D project success in small firms: The role of multiproject status and project management experience," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2806-2821, July.
    5. Andriana G. Dimakopoulou & Nikos Chatzistamoulou & Kostas Kounetas & Kostas Tsekouras, 2023. "Environmental innovation and R&D collaborations: Firm decisions in the innovation efficiency context," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1176-1205, August.

  8. Link, Albert & van Hasselt, Martijn, 2019. "Exploring the Impact of R&D on Patenting Activity in Small Women-Owned and Minority-Owned Entrepreneurial Firms," UNCG Economics Working Papers 19-2, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Corvello, Vincenzo & Belas, Jaroslav & Giglio, Carlo & Iazzolino, Gianpaolo & Troise, Ciro, 2023. "The impact of business owners’ individual characteristics on patenting in the context of digital innovation," Journal of Business Research, Elsevier, vol. 155(PA).
    2. Albert N Link, 2021. "Knowledge Transfers from Federally Funded Research and Development Centers," Science and Public Policy, Oxford University Press, vol. 48(4), pages 576-581.
    3. Guerrero, Maribel & Link, Albert & van Hasselt, Martijn, 2023. "The Transfer of Federally Funded Technology: A Study of Small, Entrepreneurial, and Ambidextrous Firms," UNCG Economics Working Papers 23-3, University of North Carolina at Greensboro, Department of Economics.
    4. Anastassiya LIPOVKA & Arman ISLAMGALEYEV & Jeļena BADJANOVA, 2021. "Innovation capability of women and men managers: evidence from Kazakhstan," Access Journal, Access Press Publishing House, vol. 2(1), pages 91-102, January.
    5. Pilar Beneito & Maria E. Rochina-Barrachina & Amparo Sanchis, 2023. "Female R&D teams and patents as quality signals in innovative firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(7), pages 891-922, October.
    6. AMOROSO Sara & AUDRETSCH David, 2020. "The role of gender in linking external sources of knowledge and R&D intensity," JRC Working Papers on Corporate R&D and Innovation 2020-05, Joint Research Centre.
    7. Audretsch, David & Link, Albert, 2019. "The Fountain of Knowledge: An Epistemological Perspective on the Growth of U.S. SBIR-Funded Firms," UNCG Economics Working Papers 19-9, University of North Carolina at Greensboro, Department of Economics.
    8. Maribel Guerrero & David Urbano, 2019. "Effectiveness of technology transfer policies and legislation in fostering entrepreneurial innovations across continents: an overview," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1347-1366, October.
    9. Sebastian Aparicio & David Audretsch & David Urbano, 2022. "Governmental Support for Entrepreneurship in Spain: An Institutional Approach," Hacienda Pública Española / Review of Public Economics, IEF, vol. 243(4), pages 29-49, December.

  9. Link, Albert & van Hasselt, Martijn, 2019. "On the Transfer of Technology from Universities: The Impact of the Bayh-Dole Act of 1980 on the Institutionalization of University Research," UNCG Economics Working Papers 19-10, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Mai, Nhat Chi, 2021. "Analysis of Changes in Comparative Advantages of the Manufacturing in Vietnam and Comparison with China," OSF Preprints e9avy, Center for Open Science.
    2. Vincent Smith & Justus H. H. Wesseler & David Zilberman, 2021. "New Plant Breeding Technologies: An Assessment of the Political Economy of the Regulatory Environment and Implications for Sustainability," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    3. Albert N. Link, 2021. "Knowledge transfers from federally supported R&D," International Entrepreneurship and Management Journal, Springer, vol. 17(1), pages 249-260, March.
    4. Conor O’Kane & James A. Cunningham & Matthias Menter & Sara Walton, 2021. "The brokering role of technology transfer offices within entrepreneurial ecosystems: an investigation of macro–meso–micro factors," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1814-1844, December.
    5. Guerrero, Maribel & Link, Albert & van Hasselt, Martijn, 2023. "The Transfer of Federally Funded Technology: A Study of Small, Entrepreneurial, and Ambidextrous Firms," UNCG Economics Working Papers 23-3, University of North Carolina at Greensboro, Department of Economics.
    6. Annita Nugent & Ho Fai Chan & Uwe Dulleck, 2019. "Government Funding of University-Industry Collaboration: Exploring the Impact of Targeted Funding on University Patent Activity," CESifo Working Paper Series 8032, CESifo.
    7. Stojčić, Nebojša & Srhoj, Stjepan & Coad, Alex, 2020. "Innovation procurement as capability-building: Evaluating innovation policies in eight Central and Eastern European countries," European Economic Review, Elsevier, vol. 121(C).
    8. Andrea Bonaccorsi & Brigida Blasi & Carmela Anna Nappi & Sandra Romagnosi, 2022. "Quality of research as source and signal: revisiting the valorization process beyond substitution vs complementarity," The Journal of Technology Transfer, Springer, vol. 47(2), pages 407-434, April.
    9. Jiafeng Gu, 2021. "Effects of Patent Policy on Outputs and Commercialization of Academic Patents in China: A Spatial Difference-in-Differences Analysis," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    10. Chen, Kun & Wupur, Abduhalik & Abudouguli, Ailifeire & Yang, Guo-liang, 2023. "Measuring the knowledge transfer efficiency of social science in Chinese universities from a think tank perspective," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    11. Laura Kreiling & Ahmed Bounfour, 2020. "A practice-based maturity model for holistic TTO performance management: development and initial use," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1718-1747, December.
    12. Kraft, Kornelius & Lammers, Alexander, 2021. "Bargaining Power and the Labor Share - a Structural Break Approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242342, Verein für Socialpolitik / German Economic Association.
    13. Min, Jae-Woong & Kim, YoungJun & Vonortas, Nicholas S., 2020. "Public technology transfer, commercialization and business growth," European Economic Review, Elsevier, vol. 124(C).
    14. Temel, Serdal & Dabić, Marina & Murat Ar, Ilker & Howells, Jeremy & Ali Mert, & Yesilay, Rustem Baris, 2021. "Exploring the relationship between university innovation intermediaries and patenting performance," Technology in Society, Elsevier, vol. 66(C).
    15. FUKUGAWA Nobuya, 2023. "Sources of Heterogeneous Treatment Effects of Incorporating Manufacturing Kohsetsushi : Evidence from panel data of technology extension," Discussion papers 23062, Research Institute of Economy, Trade and Industry (RIETI).

  10. Link, Albert & van Hasselt, Martijn, 2019. "A Public Sector Knowledge Production Function," UNCG Economics Working Papers 19-3, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Kalaj, Jozefina & Rogger, Daniel & Somani, Ravi, 2022. "Bureaucrat time-use: Evidence from a survey experiment," World Development, Elsevier, vol. 152(C).
    2. Nobuya Fukugawa, 2019. "Determinants and impacts of public agricultural research: product-level evidence from agricultural Kohsetsushi in Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1475-1498, September.
    3. Link, Albert & Scott, John, 2020. "Scientific Publications at U.S. Federal Research Laboratories," UNCG Economics Working Papers 20-12, University of North Carolina at Greensboro, Department of Economics.
    4. Link, Albert & Scott, John, 2019. "The Economic Benefits of Technology Transfer from U.S. Federal Laboratories," UNCG Economics Working Papers 19-6, University of North Carolina at Greensboro, Department of Economics.
    5. Ainagul T. Mamyralieva & Aziza B. Karbekova & Gulchehra B. Abdyrahmanova, 2022. "Analysis of the economic sectors? sustainability of the Kyrgyz Republic," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(2), pages 185-204.

  11. Audretsch, David & Link, Albert & van Hasselt, Martijn, 2019. "Knowledge Begets Knowledge: Knowledge Spillovers and the Output of Scientific Papers from U.S. Small Business Innovation Research (SBIR) Projects," UNCG Economics Working Papers 19-12, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Link, Albert & van Hasselt, Martijn, 2020. "The Use of Intellectual Property Protection Mechanisms by Publicly Supported Firms," UNCG Economics Working Papers 20-9, University of North Carolina at Greensboro, Department of Economics.
    2. Raquel Ortega-Argilés, 2022. "The evolution of regional entrepreneurship policies: “no one size fits all”," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(3), pages 585-610, December.
    3. Christopher S. Hayter & Albert N. Link, 2022. "From discovery to commercialization: accretive intellectual property strategies among small, knowledge-based firms," Small Business Economics, Springer, vol. 58(3), pages 1367-1377, March.
    4. Albert N. Link & Martijn Hasselt & Silvio Vismara, 2021. "Going public with public money," Small Business Economics, Springer, vol. 57(3), pages 1419-1426, October.
    5. Link, Albert & Scott, John, 2020. "Scientific Publications at U.S. Federal Research Laboratories," UNCG Economics Working Papers 20-12, University of North Carolina at Greensboro, Department of Economics.
    6. Dzieżyc, Maciej & Kazienko, Przemysław, 2022. "Effectiveness of research grants funded by European Research Council and Polish National Science Centre," Journal of Informetrics, Elsevier, vol. 16(1).
    7. David Bruce Audretsch & Maksim Belitski & Rosa Caiazza, 2021. "Start-ups, Innovation and Knowledge Spillovers," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1995-2016, December.
    8. Wang, Feng & Wu, Min & Wang, Jingcao, 2023. "Can increasing economic complexity improve China's green development efficiency?," Energy Economics, Elsevier, vol. 117(C).

  12. Jonathan Norris & Martijn van Hasselt, 2019. "Troubled in school: does maternal involvement matter for adolescents?," Working Papers 1906, University of Strathclyde Business School, Department of Economics.

    Cited by:

    1. Marie Hull & Jonathan Norris, 2020. "The skill development of children of immigrants," Working Papers 2005, University of Strathclyde Business School, Department of Economics.

  13. Link, Albert & Morris, Cody & van Hasselt, Martijn, 2018. "The Impact of Public R&D Investments on Patenting Activity: Technology Transfer at the U.S> Environmental Protection Agency," UNCG Economics Working Papers 18-8, University of North Carolina at Greensboro, Department of Economics.

    Cited by:

    1. Dora Gicheva & Albert N. Link, 2022. "Public sector entrepreneurship, politics, and innovation," Small Business Economics, Springer, vol. 59(2), pages 565-572, August.
    2. Albert N. Link & Martijn Hasselt, 2020. "Exploring the impact of R&D on patenting activity in small women-owned and minority-owned entrepreneurial firms," Small Business Economics, Springer, vol. 54(4), pages 1061-1066, April.
    3. Albert N Link, 2021. "Knowledge Transfers from Federally Funded Research and Development Centers," Science and Public Policy, Oxford University Press, vol. 48(4), pages 576-581.
    4. María García-Vega & Óscar Vicente-Chirivella, 2020. "The effect of technology transfers from public research institutes and universities on firm innovativeness," Discussion Papers 2020-10, University of Nottingham, GEP.
    5. Link, Albert & Scott, John, 2020. "Scientific Publications at U.S. Federal Research Laboratories," UNCG Economics Working Papers 20-12, University of North Carolina at Greensboro, Department of Economics.
    6. García-Vega, María & Vicente-Chirivella, Óscar, 2024. "The role of public external knowledge for firm innovativeness," International Journal of Industrial Organization, Elsevier, vol. 93(C).
    7. David Bruce Audretsch & Maksim Belitski & Rosa Caiazza, 2021. "Start-ups, Innovation and Knowledge Spillovers," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1995-2016, December.
    8. Audretsch, David B. & Belitski, Maksim, 2020. "The role of R&D and knowledge spillovers in innovation and productivity," European Economic Review, Elsevier, vol. 123(C).
    9. Michael J. Hall, 2022. "New technology transfer metrics for the National Institute of Standards and Technology," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1573-1583, October.

  14. Martijn van Hasselt, 2005. "Bayesian Sampling Algorithms for the Sample Selection and Two-Part Models," Computing in Economics and Finance 2005 241, Society for Computational Economics.

    Cited by:

    1. Raphaële PRÉGET & Patrick WAELBROECK, 2010. "What is the cost of low participation in French Timber auctions?," Working Papers 10-08, LAMETA, Universtiy of Montpellier, revised Sep 2010.
    2. Dogan, Osman & Taspinar, Suleyman, 2016. "Bayesian Inference in Spatial Sample Selection Models," MPRA Paper 82829, University Library of Munich, Germany.

  15. Jesse M. Pines & Vincent Keyes & Martijn van Hasselt & Nancy McCall, "undated". "Emergency Department and Inpatient Hospital Use by Medicare Beneficiaries in Patient-Centered Medical Homes," Mathematica Policy Research Reports bd8cc720cc374d9cb3054d932, Mathematica Policy Research.

    Cited by:

    1. Deborah Peikes & Grace Anglin & Stacy Dale & Erin Fries Taylor & Ann O'Malley & Arkadipta Ghosh & Kaylyn Swankoski & Jesse Crosson & Rosalind Keith & Anne Mutti & Sheila Hoag & Pragya Singh & Ha Tu & , "undated". "Evaluation of the Comprehensive Primary Care Initiative: Fourth Annual Report," Mathematica Policy Research Reports 31b437e81685456388e78e18b, Mathematica Policy Research.

Articles

  1. Farhat Chowdhury & Albert N Link & Martijn van Hasselt, 2022. "The spatial distribution of public support for AI research [Agglomeration and Productivity: Evidence from Firm-Level Data]," Science and Public Policy, Oxford University Press, vol. 49(4), pages 573-579.
    See citations under working paper version above.
  2. Albert N Link & Christopher A Swann & Martijn van Hasselt, 2022. "An assessment of the US Small Business Innovation Research (SBIR) program: A study of project failure [On the Failure of Scientific Research: An Analysis of SBIR Projects Funded by the U.S. Nationa," Science and Public Policy, Oxford University Press, vol. 49(6), pages 972-978.
    See citations under working paper version above.
  3. Albert N. Link & Martijn van Hasselt, 2022. "The use of intellectual property protection mechanisms by publicly supported firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(1-2), pages 111-121, February.
    See citations under working paper version above.
  4. Farhat Chowdhury & Albert N. Link & Martijn Hasselt, 2022. "Public support for research in artificial intelligence: a descriptive study of U.S. Department of Defense SBIR Projects," The Journal of Technology Transfer, Springer, vol. 47(3), pages 762-774, June.
    See citations under working paper version above.
  5. Albert N. Link & Cody A. Morris & Martijn Hasselt, 2021. "The impact of the third sector of R&D on the innovative performance of entrepreneurial firms," Small Business Economics, Springer, vol. 57(3), pages 1413-1418, October.
    See citations under working paper version above.
  6. Albert N. Link & Martijn Hasselt & Silvio Vismara, 2021. "Going public with public money," Small Business Economics, Springer, vol. 57(3), pages 1419-1426, October.
    See citations under working paper version above.
  7. Albert N. Link & Martijn Hasselt, 2020. "Exploring the impact of R&D on patenting activity in small women-owned and minority-owned entrepreneurial firms," Small Business Economics, Springer, vol. 54(4), pages 1061-1066, April.
    See citations under working paper version above.
  8. Bollinger, Christopher R. & van Hasselt, Martijn, 2020. "Estimating the cumulative rate of SARS-CoV-2 infection," Economics Letters, Elsevier, vol. 197(C).

    Cited by:

    1. Jörg Stoye, 2022. "Bounding infection prevalence by bounding selectivity and accuracy of tests: with application to early COVID-19," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 1-14.

  9. David B. Audretsch & Albert N. Link & Martijn Hasselt, 2019. "Knowledge begets knowledge: university knowledge spillovers and the output of scientific papers from U.S. Small Business Innovation Research (SBIR) projects," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1367-1383, December.

    Cited by:

    1. Link, Albert & van Hasselt, Martijn, 2020. "The Use of Intellectual Property Protection Mechanisms by Publicly Supported Firms," UNCG Economics Working Papers 20-9, University of North Carolina at Greensboro, Department of Economics.
    2. Raquel Ortega-Argilés, 2022. "The evolution of regional entrepreneurship policies: “no one size fits all”," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(3), pages 585-610, December.
    3. Christopher S. Hayter & Albert N. Link, 2022. "From discovery to commercialization: accretive intellectual property strategies among small, knowledge-based firms," Small Business Economics, Springer, vol. 58(3), pages 1367-1377, March.
    4. Albert N. Link & Martijn Hasselt & Silvio Vismara, 2021. "Going public with public money," Small Business Economics, Springer, vol. 57(3), pages 1419-1426, October.
    5. Link, Albert & Scott, John, 2020. "Scientific Publications at U.S. Federal Research Laboratories," UNCG Economics Working Papers 20-12, University of North Carolina at Greensboro, Department of Economics.
    6. Sebastian Aparicio & David Audretsch & David Urbano, 2022. "Governmental Support for Entrepreneurship in Spain: An Institutional Approach," Hacienda Pública Española / Review of Public Economics, IEF, vol. 243(4), pages 29-49, December.
    7. Dzieżyc, Maciej & Kazienko, Przemysław, 2022. "Effectiveness of research grants funded by European Research Council and Polish National Science Centre," Journal of Informetrics, Elsevier, vol. 16(1).
    8. David Bruce Audretsch & Maksim Belitski & Rosa Caiazza, 2021. "Start-ups, Innovation and Knowledge Spillovers," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1995-2016, December.
    9. Wang, Feng & Wu, Min & Wang, Jingcao, 2023. "Can increasing economic complexity improve China's green development efficiency?," Energy Economics, Elsevier, vol. 117(C).
    10. Inna S. Lola & Anton Manukov, 2020. "Forecasting Employment In Small Businesses In Russia: The Relevance Of Business Tendency Surveys," HSE Working papers WP BRP 113/STI/2020, National Research University Higher School of Economics.

  10. Albert N. Link & Cody A. Morris & Martijn van Hasselt, 2019. "The impact of public R&D investments on patenting activity: technology transfer at the U.S. Environmental Protection Agency," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(5), pages 536-546, July.
    See citations under working paper version above.
  11. Link, Albert N. & van Hasselt, Martijn, 2019. "On the transfer of technology from universities: The impact of the Bayh–Dole Act of 1980 on the institutionalization of university research," European Economic Review, Elsevier, vol. 119(C), pages 472-481.
    See citations under working paper version above.
  12. Link, Albert N. & van Hasselt, Martijn, 2019. "A public sector knowledge production function," Economics Letters, Elsevier, vol. 175(C), pages 64-66.
    See citations under working paper version above.
  13. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "A Bayesian analysis of binary misclassification," Economics Letters, Elsevier, vol. 156(C), pages 68-73.

    Cited by:

    1. Yuan Liao & Anna Simoni, 2012. "Semi-parametric Bayesian Partially Identified Models based on Support Function," Papers 1212.3267, arXiv.org, revised Nov 2013.
    2. Toru Kitagawa, 2011. "Inference and decision for set identified parameters using posterior lower and upper probabilities," CeMMAP working papers CWP16/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. James Marton & Stephen A. Woodbury, 2013. "Retiree Health Benefits as Deferred Compensation," Public Finance Review, , vol. 41(1), pages 64-91, January.
    4. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.

  14. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.

    Cited by:

    1. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    2. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    3. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Second Version," PIER Working Paper Archive 15-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 11 Nov 2015.
    4. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Third Version," PIER Working Paper Archive 15-040, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 24 Nov 2015.
    5. Augustine Denteh & D'esir'e K'edagni, 2022. "Misclassification in Difference-in-differences Models," Papers 2207.11890, arXiv.org, revised Jul 2022.
    6. Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
    7. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    8. Martijn van Hasselt & Christopher R. Bollinger & Jeremy W. Bray, 2022. "A Bayesian approach to account for misclassification in prevalence and trend estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 351-367, March.
    9. Francis DiTraglia & Camilo García-Jimeno, 2016. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," NBER Working Papers 22621, National Bureau of Economic Research, Inc.

  15. Michael P Anastario & Monica Adhiambo Onyango & Joan Nyanyuki & Karen Naimer & Rachel Muthoga & Susannah Sirkin & Kelle Barrick & Martijn van Hasselt & Wilson Aruasa & Cynthia Kibet & Grace Omollo, 2014. "Time Series Analysis of Sexual Assault Case Characteristics and the 2007–2008 Period of Post-Election Violence in Kenya," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-6, August.

    Cited by:

    1. Jana Krause, 2020. "Restrained or constrained? Elections, communal conflicts, and variation in sexual violence," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(1), pages 185-198, January.

  16. van Hasselt, Martijn & Bollinger, Christopher R., 2012. "Binary misclassification and identification in regression models," Economics Letters, Elsevier, vol. 115(1), pages 81-84.

    Cited by:

    1. Nguimkeu, Pierre & Denteh, Augustine & Tchernis, Rusty, 2019. "On the estimation of treatment effects with endogenous misreporting," Journal of Econometrics, Elsevier, vol. 208(2), pages 487-506.
    2. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    3. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Second Version," PIER Working Paper Archive 15-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 11 Nov 2015.
    4. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Third Version," PIER Working Paper Archive 15-040, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 24 Nov 2015.
    5. DiTraglia, Francis J. & García-Jimeno, Camilo, 2019. "Identifying the effect of a mis-classified, binary, endogenous regressor," Journal of Econometrics, Elsevier, vol. 209(2), pages 376-390.
    6. Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
    7. Bollinger, Christopher R. & van Hasselt, Martijn, 2017. "Bayesian moment-based inference in a regression model with misclassification error," Journal of Econometrics, Elsevier, vol. 200(2), pages 282-294.
    8. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models," Papers 2011.07276, arXiv.org.
    9. Seoyun Hong & Chang Sik Kim & Hyunchul Kim, 2022. "Measuring the Effects of Bid-Rigging on Prices with Binary Misclassification," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(3), pages 319-339, November.

  17. van Hasselt, Martijn, 2011. "Bayesian inference in a sample selection model," Journal of Econometrics, Elsevier, vol. 165(2), pages 221-232.

    Cited by:

    1. Marra, Giampiero & Radice, Rosalba, 2013. "Estimation of a regression spline sample selection model," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 158-173.
    2. Anastasios Panagiotelis & Michael S. Smith & Peter J Danaher, 2013. "From Amazon to Apple: Modeling Online Retail Sales, Purchase Incidence and Visit Behavior," Monash Econometrics and Business Statistics Working Papers 5/13, Monash University, Department of Econometrics and Business Statistics.
    3. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
    4. Wiemann, Paul F.V. & Klein, Nadja & Kneib, Thomas, 2022. "Correcting for sample selection bias in Bayesian distributional regression models," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    5. Sizhong Sun, 2023. "Firm heterogeneity, worker training and labor productivity: the role of endogenous self-selection," Journal of Productivity Analysis, Springer, vol. 59(2), pages 121-133, April.
    6. Ignacio Abásolo & Miguel Negrín & Jaime Pinilla, 2014. "Utilización y tiempos de espera: dos vertientes inseparables del análisis de la equidad en el acceso al sistema sanitario público," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 11-38, March.
    7. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    8. Zhao, Jun & Kim, Hea-Jung & Kim, Hyoung-Moon, 2020. "New EM-type algorithms for the Heckman selection model," Computational Statistics & Data Analysis, Elsevier, vol. 146(C).
    9. Rong Zhang & Brett A. Inder & Xibin Zhang, 2012. "Parameter estimation for a discrete-response model with double rules of sample selection: A Bayesian approach," Monash Econometrics and Business Statistics Working Papers 5/12, Monash University, Department of Econometrics and Business Statistics.
    10. Li, Phillip, 2010. "Estimation of Sample Selection Models With Two Selection Mechanisms," University of California Transportation Center, Working Papers qt0h97w9x2, University of California Transportation Center.
    11. Didier Nibbering, 2019. "A High-dimensional Multinomial Choice Model," Monash Econometrics and Business Statistics Working Papers 19/19, Monash University, Department of Econometrics and Business Statistics.
    12. Zhang, Rong & Inder, Brett A. & Zhang, Xibin, 2015. "Bayesian estimation of a discrete response model with double rules of sample selection," Computational Statistics & Data Analysis, Elsevier, vol. 86(C), pages 81-96.
    13. Ovielt Baltodano L'opez & Roberto Casarin, 2022. "A Dynamic Stochastic Block Model for Multi-Layer Networks," Papers 2209.09354, arXiv.org.
    14. Halliday, Timothy J. & Mazumder, Bhashkar & Wong, Ashley, 2019. "The Intergenerational Transmission of Health in the United States: A Latent Variables Analysis," IZA Discussion Papers 12740, Institute of Labor Economics (IZA).
    15. Dogan, Osman & Taspinar, Suleyman, 2016. "Bayesian Inference in Spatial Sample Selection Models," MPRA Paper 82829, University Library of Munich, Germany.
    16. Ding, Peng, 2014. "Bayesian robust inference of sample selection using selection-t models," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 451-464.
    17. Rong Zhang & Brett A. Inder & Xibin Zhang, 2013. "Bayesian estimation of a discrete response model with double rules of sample selection," Monash Econometrics and Business Statistics Working Papers 24/13, Monash University, Department of Econometrics and Business Statistics.

  18. Hasselt, Martijn van, 2010. "Many Instruments Asymptotic Approximations Under Nonnormal Error Distributions," Econometric Theory, Cambridge University Press, vol. 26(2), pages 633-645, April.

    Cited by:

    1. Liu, Xiaodong & Lee, Lung-fei, 2010. "GMM estimation of social interaction models with centrality," Journal of Econometrics, Elsevier, vol. 159(1), pages 99-115, November.
    2. Winkelried, D. & Smith, R.J., 2011. "Principal Components Instrumental Variable Estimation," Cambridge Working Papers in Economics 1119, Faculty of Economics, University of Cambridge.
    3. Eric Gautier & Christiern Rose, 2022. "Fast, Robust Inference for Linear Instrumental Variables Models using Self-Normalized Moments," Papers 2211.02249, arXiv.org, revised Nov 2022.
    4. Bekker, Paul A. & Crudu, Federico, 2015. "Jackknife instrumental variable estimation with heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 332-342.
    5. Crudu, Federico & Mellace, Giovanni & Sándor, Zsolt, 2021. "Inference In Instrumental Variable Models With Heteroskedasticity And Many Instruments," Econometric Theory, Cambridge University Press, vol. 37(2), pages 281-310, April.
    6. Abutaliev, Albert & Anatolyev, Stanislav, 2013. "Asymptotic variance under many instruments: Numerical computations," Economics Letters, Elsevier, vol. 118(2), pages 272-274.
    7. Guy Tchuente, 2021. "A Note on the Topology of the First Stage of 2SLS with Many Instruments," Papers 2106.15003, arXiv.org.
    8. Kolesár, Michal, 2018. "Minimum distance approach to inference with many instruments," Journal of Econometrics, Elsevier, vol. 204(1), pages 86-100.
    9. Matsushita, Yukitoshi & Otsu, Taisuke, 2023. "Second-order refinements for t-ratios with many instruments," Journal of Econometrics, Elsevier, vol. 232(2), pages 346-366.
    10. Lee, Yoonseok & Okui, Ryo, 2012. "Hahn–Hausman test as a specification test," Journal of Econometrics, Elsevier, vol. 167(1), pages 133-139.
    11. Michal Kolesár & Raj Chetty & John N. Friedman & Edward L. Glaeser & Guido W. Imbens, 2011. "Identification and Inference with Many Invalid Instruments," NBER Working Papers 17519, National Bureau of Economic Research, Inc.
    12. Byunghoon Kang, 2018. "Higher Order Approximation of IV Estimators with Invalid Instruments," Working Papers 257105320, Lancaster University Management School, Economics Department.
    13. Wang, Wenjie & Kaffo, Maximilien, 2016. "Bootstrap inference for instrumental variable models with many weak instruments," Journal of Econometrics, Elsevier, vol. 192(1), pages 231-268.
    14. Stanislav Anatolyev, 2012. "Instrumental variables estimation and inference in the presence of many exogenous regressors," Working Papers w0162, Center for Economic and Financial Research (CEFIR).
    15. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    16. Guy Tchuente, 2016. "Estimation of social interaction models using regularization," Studies in Economics 1607, School of Economics, University of Kent.
    17. Yukitoshi Matsushita & Taisuke Otsu, 2020. "Second-order refinements for t-ratios with many instruments," STICERD - Econometrics Paper Series 612, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    18. Guy Tchuente, 2019. "Weak Identification and Estimation of Social Interaction Models," Papers 1902.06143, arXiv.org.
    19. Matsushita, Yukitoshi & Otsu, Taisuke, 2023. "Second-order refinements for t-ratios with many instruments," LSE Research Online Documents on Economics 111065, London School of Economics and Political Science, LSE Library.
    20. Liu, Xiaodong, 2012. "On the consistency of the LIML estimator of a spatial autoregressive model with many instruments," Economics Letters, Elsevier, vol. 116(3), pages 472-475.

Books

    Sorry, no citations of books recorded.

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 17 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-INO: Innovation (10) 2018-11-12 2019-01-14 2019-01-14 2019-11-18 2019-11-18 2020-04-13 2022-07-11 2022-07-11 2022-12-05 2023-06-19. Author is listed
  2. NEP-TID: Technology and Industrial Dynamics (8) 2019-01-14 2019-11-18 2019-11-18 2020-04-13 2022-07-11 2022-07-11 2022-12-05 2023-06-19. Author is listed
  3. NEP-SBM: Small Business Management (7) 2019-01-14 2019-11-18 2020-04-13 2022-07-11 2022-07-11 2022-12-05 2023-06-19. Author is listed
  4. NEP-ENT: Entrepreneurship (6) 2019-01-14 2019-11-18 2020-04-13 2022-07-11 2022-12-05 2023-06-19. Author is listed
  5. NEP-IPR: Intellectual Property Rights (6) 2018-11-12 2019-01-14 2019-01-14 2019-11-18 2020-11-16 2023-06-19. Author is listed
  6. NEP-KNM: Knowledge Management and Knowledge Economy (5) 2018-11-12 2019-01-14 2019-11-18 2020-04-13 2020-11-16. Author is listed
  7. NEP-PPM: Project, Program and Portfolio Management (5) 2019-01-14 2019-11-18 2022-07-11 2022-07-11 2022-12-05. Author is listed
  8. NEP-CSE: Economics of Strategic Management (4) 2019-01-14 2019-11-18 2020-04-13 2023-06-19
  9. NEP-ECM: Econometrics (3) 2005-11-19 2018-03-12 2019-11-18
  10. NEP-BIG: Big Data (2) 2022-07-11 2022-07-11
  11. NEP-HEA: Health Economics (2) 2015-04-02 2019-11-18
  12. NEP-ORE: Operations Research (2) 2019-11-18 2020-04-27
  13. NEP-URE: Urban and Real Estate Economics (2) 2019-07-08 2022-07-11
  14. NEP-ENV: Environmental Economics (1) 2018-11-12
  15. NEP-EUR: Microeconomic European Issues (1) 2020-04-13
  16. NEP-EXP: Experimental Economics (1) 2018-03-12
  17. NEP-GEO: Economic Geography (1) 2022-07-11

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Martijn van Hasselt should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.