IDEAS home Printed from https://ideas.repec.org/a/jae/japmet/v23y2008i6p729-747.html
   My bibliography  Save this article

R&D and subsidies at the firm level: an application of parametric and semiparametric two-step selection models

Author

Listed:
  • Katrin Hussinger

    (University of Maastricht, Netherlands, Centre for European Economic Research (ZEW), and Catholic University Leuven, Belgium)

Abstract

This paper analyzes the effect of public R&D subsidies on firms' private R&D investment per employee and new product sales in German manufacturing. Parametric and semiparametric two-step selection models are applied to this evaluation problem. The results show that the average treatment effect on the treated firms' R&D intensity is positive. The estimated effects are robust with respect to the different selection models. Further results show that publicly induced R&D spending is as productive as private R&D investment in generating new product sales. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Katrin Hussinger, 2008. "R&D and subsidies at the firm level: an application of parametric and semiparametric two-step selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-747.
  • Handle: RePEc:jae:japmet:v:23:y:2008:i:6:p:729-747
    DOI: 10.1002/jae.1016
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/jae.1016
    File Function: Link to full text; subscription required
    Download Restriction: no

    File URL: http://qed.econ.queensu.ca:80/jae/2008-v23.6/
    File Function: Supporting data files and programs
    Download Restriction: no

    File URL: https://libkey.io/10.1002/jae.1016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bronwyn H. Hall, 1990. "The Impact of Corporate Restructuring on Industrial Research and Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(1990 Micr), pages 85-135.
    2. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    3. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    4. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    5. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    6. Dirk Czarnitzki & Andrew A. Toole, 2011. "Patent Protection, Market Uncertainty, and R&D Investment," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 147-159, February.
    7. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, March.
    8. Manski, C.F., 1990. "The Selection Problem," Working papers 90-12, Wisconsin Madison - Social Systems.
    9. Dirk Czarnitzki & Bernd Ebersberger & Andreas Fier, 2007. "The relationship between R&D collaboration, subsidies and R&D performance: Empirical evidence from Finland and Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1347-1366.
    10. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    11. Newey, Whitney K. & McFadden, Daniel, 1986. "Large sample estimation and hypothesis testing," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 36, pages 2111-2245, Elsevier.
    12. Whitney K. Newey, 2009. "Two-step series estimation of sample selection models," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 217-229, January.
    13. Klette, Tor Jakob & Moen, Jarle & Griliches, Zvi, 2000. "Do subsidies to commercial R&D reduce market failures? Microeconometric evaluation studies1," Research Policy, Elsevier, vol. 29(4-5), pages 471-495, April.
    14. Isabel Busom, 2000. "An Empirical Evaluation of The Effects of R&D Subsidies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(2), pages 111-148.
    15. David, Paul A. & Hall, Bronwyn H. & Toole, Andrew A., 2000. "Is public R&D a complement or substitute for private R&D? A review of the econometric evidence," Research Policy, Elsevier, vol. 29(4-5), pages 497-529, April.
    16. Gallant, A Ronald & Nychka, Douglas W, 1987. "Semi-nonparametric Maximum Likelihood Estimation," Econometrica, Econometric Society, vol. 55(2), pages 363-390, March.
    17. Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2002. "On Intercept Estimation In The Sample Selection Model," Econometric Theory, Cambridge University Press, vol. 18(1), pages 40-50, February.
    18. Czarnitzki, Dirk & Fier, Andreas, 2002. "Do Innovation Subsidies Crowd Out Private Investment? Evidence from the German Service Sector," ZEW Discussion Papers 02-04, ZEW - Leibniz Centre for European Economic Research.
    19. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    20. Czarnitzki, Dirk & Kraft, Kornelius, 2000. "Haftungsregeln und Innovation," ZEW Discussion Papers 00-38, ZEW - Leibniz Centre for European Economic Research.
    21. Cosslett, Stephen R, 1983. "Distribution-Free Maximum Likelihood Estimator of the Binary Choice Model," Econometrica, Econometric Society, vol. 51(3), pages 765-782, May.
    22. Klette, T.J. & Moen, J. & Griliches, Z., 1999. "Do Subsidies to Commercial R&D Reduce Market Failures? Microeconometric Evaluation Studies," Papers 16/99, Norwegian School of Economics and Business Administration-.
    23. Michael Lechner, 2005. "A Note on Endogenous Control Variables in Evaluation Studies," University of St. Gallen Department of Economics working paper series 2005 2005-16, Department of Economics, University of St. Gallen.
    24. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521370905.
    25. Chen, Songnian, 1999. "Distribution-free estimation of the random coefficient dummy endogenous variable model," Journal of Econometrics, Elsevier, vol. 91(1), pages 171-199, July.
    26. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    27. Almus, Matthias & Czarnitzki, Dirk, 2003. "The Effects of Public R&D Subsidies on Firms' Innovation Activities: The Case of Eastern Germany," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 226-236, April.
    28. Czarnitzki, Dirk & Fier, Andreas, 2003. "Publicly Funded R&D Collaborations and Patent Outcome in Germany," ZEW Discussion Papers 03-24, ZEW - Leibniz Centre for European Economic Research.
    29. Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2005. "Selection Or Self-Rejection? Applications Into A Treatment," Industrial Organization 0510002, University Library of Munich, Germany.
    30. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    31. Chamberlain, Gary, 1986. "Asymptotic efficiency in semi-parametric models with censoring," Journal of Econometrics, Elsevier, vol. 32(2), pages 189-218, July.
    32. Marcia M. A. Schafgans, 2000. "On Intercept Estimation in the Sample Selection Model," Econometric Society World Congress 2000 Contributed Papers 0730, Econometric Society.
    33. Dirk Czarnitzki, 2005. "The Extent and Evolution of Productivity Deficiency in Eastern Germany," Journal of Productivity Analysis, Springer, vol. 24(2), pages 211-231, October.
    34. Arvanitis, Spyros & Hollenstein, Heinz & Lenz, Stephan, 2002. "The Effectiveness of Government Promotion of Advanced Manufacturing Technologies (AMT): An Economic Analysis Based on Swiss Micro Data," Small Business Economics, Springer, vol. 19(4), pages 321-340, December.
    35. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    36. Aerts, Kris & Czarnitzki, Dirk, 2004. "Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium," ZEW Discussion Papers 04-55, ZEW - Leibniz Centre for European Economic Research.
    37. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    38. Barnett,William A. & Powell,James & Tauchen,George E. (ed.), 1991. "Nonparametric and Semiparametric Methods in Econometrics and Statistics," Cambridge Books, Cambridge University Press, number 9780521424318.
    39. Lichtenberg, Frank R, 1984. "The Relationship between Federal Contract R&D and Company R&D," American Economic Review, American Economic Association, vol. 74(2), pages 73-78, May.
    40. Donald W. K. Andrews & Marcia M. A. Schafgans, 1998. "Semiparametric Estimation of the Intercept of a Sample Selection Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 497-517.
    41. Jens Matthias Arnold & Katrin Hussinger, 2005. "Export Behavior and Firm Productivity in German Manufacturing: A Firm-Level Analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 141(2), pages 219-243, July.
    42. Dirk Czarnitzki & Kornelius Kraft, 2007. "Are credit ratings valuable information?," Applied Financial Economics, Taylor & Francis Journals, vol. 17(13), pages 1061-1070.
    43. Lung-Fei Lee, 1982. "Some Approaches to the Correction of Selectivity Bias," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(3), pages 355-372.
    44. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    45. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    46. Greene, William H, 1981. "Sample Selection Bias as a Specification Error: Comment," Econometrica, Econometric Society, vol. 49(3), pages 795-798, May.
    47. Czarnitzki, Dirk & Hussinger, Katrin, 2004. "The Link Between R&D Subsidies, R&D Spending and Technological Performance," ZEW Discussion Papers 04-56, ZEW - Leibniz Centre for European Economic Research.
    48. Nawata, Kazumitsu, 1993. "A note on the estimation of models with sample-selection biases," Economics Letters, Elsevier, vol. 42(1), pages 15-24.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hud, Martin & Hussinger, Katrin, 2015. "The impact of R&D subsidies during the crisis," Research Policy, Elsevier, vol. 44(10), pages 1844-1855.
    2. Aschhoff, Birgit, 2009. "The effect of subsidies on R&D investment and success: do subsidy history and size matter?," ZEW Discussion Papers 09-032, ZEW - Leibniz Centre for European Economic Research.
    3. Dirk Czarnitzki & Cindy Lopes-Bento, 2014. "Innovation Subsidies: Does the Funding Source Matter for Innovation Intensity and Performance? Empirical Evidence from Germany," Industry and Innovation, Taylor & Francis Journals, vol. 21(5), pages 380-409, July.
    4. Fier, Andreas & Heger, Diana & Hussinger, Katrin, 2005. "Die Wirkungsanalyse staatlicher Förderprogramme durch den Einsatz von Matching- und Selektionsmodellen am Beispiel der Fertigungstechnik," ZEW Discussion Papers 05-09, ZEW - Leibniz Centre for European Economic Research.
    5. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    6. Czarnitzki, Dirk & Lopes-Bento, Cindy, 2013. "Value for money? New microeconometric evidence on public R&D grants in Flanders," Research Policy, Elsevier, vol. 42(1), pages 76-89.
    7. Lewbel, Arthur, 2007. "Endogenous selection or treatment model estimation," Journal of Econometrics, Elsevier, vol. 141(2), pages 777-806, December.
    8. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna, 2015. "UK and EU subsidies and private R&D investment: Is there input additionality?," MPRA Paper 68009, University Library of Munich, Germany, revised 16 Nov 2015.
    9. José Ángel Zúñiga-Vicente & César Alonso-Borrego & Francisco J. Forcadell & José I. Galán, 2014. "Assessing The Effect Of Public Subsidies On Firm R&D Investment: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 36-67, February.
    10. Giovanni Cerulli, 2008. "Modelling and measuring the effects of public subsidies on business R&D: theoretical and econometric issues," CERIS Working Paper 200803, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    11. Aerts, Kris & Schmidt, Tobias, 2008. "Two for the price of one?: Additionality effects of R&D subsidies: A comparison between Flanders and Germany," Research Policy, Elsevier, vol. 37(5), pages 806-822, June.
    12. LOPES BENTO Cindy & CZARNITZKI Dirk, 2012. "Value for money? New microeconomic evidence on public R&D grants in Flanders," LISER Working Paper Series 2012-19, Luxembourg Institute of Socio-Economic Research (LISER).
    13. Tommy Clausen, 2008. "Do subsidies have positive impacts on R&D and innovation activities at the firm level?," Working Papers on Innovation Studies 20070615, Centre for Technology, Innovation and Culture, University of Oslo.
    14. Chudnovsky, Daniel & López, Andrés & Rossi, Martín & Ubfal, Diego, 2006. "Evaluating a Program of Public Funding of Private Innovation Activities: An Econometric Study of FONTAR in Argentina," IDB Publications (Working Papers) 2829, Inter-American Development Bank.
    15. Özçelik, Emre & Taymaz, Erol, 2008. "R&D support programs in developing countries: The Turkish experience," Research Policy, Elsevier, vol. 37(2), pages 258-275, March.
    16. Syoum Negassi & Jean-Francois Sattin, 2014. "Evaluation of Public R&D Policy: A Meta-Regression Analysis," Working Papers 14-09, University of Delaware, Department of Economics.
    17. Tommy Clausen, 2007. "Access (not) granted: What kinds of firms participate in technology programs?," Working Papers on Innovation Studies 20070612, Centre for Technology, Innovation and Culture, University of Oslo.
    18. Jacopo Mazza, 2012. "Does Risk Matter? A Semi-parametric Model for Educational Choices in the Presence of Uncertainty," Economics Discussion Paper Series 1225, Economics, The University of Manchester.
    19. Clausen, Tommy H., 2009. "Do subsidies have positive impacts on R&D and innovation activities at the firm level?," Structural Change and Economic Dynamics, Elsevier, vol. 20(4), pages 239-253, December.
    20. Dirk Czarnitzki & Julie Delanote, 2015. "R&D policies for young SMEs: input and output effects," Small Business Economics, Springer, vol. 45(3), pages 465-485, October.

    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jae:japmet:v:23:y:2008:i:6:p:729-747. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    Please note that corrections may 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.