IDEAS home Printed from https://ideas.repec.org/p/cte/werepe/28639.html
   My bibliography  Save this paper

Investment Climate Effects on Alternative Firm-Level Productivity Measures

Author

Listed:
  • Guasch, J. Luis
  • Pena, Jorge

Abstract

Developing countries are increasingly concerned about improving country competitiveness and productivity. Investment Climate surveys (ICs) at the firm level, are becoming the standard way for the World Bank to identify key obstacles to country competitiveness. This paper develops a general to specific econometric methodology, based on firm level observable fixed effects that generate robust investment climate effects (elasticities) on total factor productivity (TFP). By robust IC elasticities on TFP we mean elasticity estimates with equal signs and of similar magnitudes for several competing TFP measures. We apply this econometric methodology to the IC survey of Costa Rica showing how robust the investment climate effects are for several measures of TFP when conditioning on relevant plant-level information that is usually unobserved. For the economic evaluation we estimate the marginal effects of each IC variable on TFP as well as their IC impacts on average TFP obtaining important economic differences. These IC estimates are obtained from five blocks of IC variables, (i) infrastructure, (ii) red tape, corruption and crime, (iii) finance and corporate governance, (iv) quality, innovation and labor skills and (v) other control variables, could be used as benchmarks to assess cross-country IC assessments of TFP.

Suggested Citation

  • Guasch, J. Luis & Pena, Jorge, 2019. "Investment Climate Effects on Alternative Firm-Level Productivity Measures," UC3M Working papers. Economics 28639, Universidad Carlos III de Madrid. Departamento de Economía.
  • Handle: RePEc:cte:werepe:28639
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/rest/api/core/bitstreams/1b9d1e28-2011-4abc-91f7-e93f5a5ef068/content
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    2. W. Robert & J. Alexander & John Bell & Stephen Knowles, 2005. "Quantifying compliance costs of small businesses in New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 39(1), pages 37-50.
    3. David F. Hendry & Hans-Martin Krolzig, 2005. "The Properties of Automatic "GETS" Modelling," Economic Journal, Royal Economic Society, vol. 115(502), pages 32-61, March.
    4. David F. Hendry & Bent Nielsen, 2007. "Preface to Econometric Modeling: A Likelihood Approach," Introductory Chapters, in: Econometric Modeling: A Likelihood Approach, Princeton University Press.
    5. John McMillan, 1998. "Managing Economic Change: Lessons from New Zealand," The World Economy, Wiley Blackwell, vol. 21(6), pages 827-843, August.
    6. Harold L. Cole & Lee E. Ohanian & Álvaro José Riascos & James A. Schmitz, 2006. "Latin America in the rearview mirror," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 30(Sep).
    7. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    8. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    9. Dani Rodrik & Arvind Subramanian, 2005. "From "Hindu Growth" to Productivity Surge: The Mystery of the Indian Growth Transition," IMF Staff Papers, Palgrave Macmillan, vol. 52(2), pages 193-228, September.
    10. Escribano, Alvaro & Guasch, J. Luis, 2005. "Assessing the impact of the investment climate on productivity using firm-level data : methodology and the cases of Guatemala, Honduras, and Nicaragua," Policy Research Working Paper Series 3621, The World Bank.
    11. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    12. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth: Lessons from Microeconomic Evidence," NBER Chapters, in: New Developments in Productivity Analysis, pages 303-372, National Bureau of Economic Research, Inc.
    13. Robert E. Hall & Charles I. Jones, 1999. "Why do Some Countries Produce So Much More Output Per Worker than Others?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 83-116.
    14. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    15. David F. Hendry & Bent Nielsen, 2007. "The Bernoulli model, from Econometric Modeling: A Likelihood Approach," Introductory Chapters, in: Econometric Modeling: A Likelihood Approach, Princeton University Press.
    16. Charles R. Hulten & Edwin R. Dean & Michael J. Harper, 2001. "New Developments in Productivity Analysis," NBER Books, National Bureau of Economic Research, Inc, number hult01-1.
    17. Barry P. Bosworth & Susan M. Collins, 2003. "The Empirics of Growth: An Update," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 113-206.
    18. Jean-Jacques Dethier & Maximilian Hirn & Stéphane Straub, 2011. "Explaining Enterprise Performance in Developing Countries with Business Climate Survey Data," The World Bank Research Observer, World Bank, vol. 26(2), pages 258-309, August.
    19. Charles R. Hulten, 2001. "Total Factor Productivity: A Short Biography," NBER Chapters, in: New Developments in Productivity Analysis, pages 1-54, National Bureau of Economic Research, Inc.
    20. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    21. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Guasch, J. Luis, 2012. "Robust investment climate effects on alternative firm-level productivity measures," UC3M Working papers. Economics we1201, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Escribano, Alvaro & Guasch, J. Luis, 2005. "Assessing the impact of the investment climate on productivity using firm-level data : methodology and the cases of Guatemala, Honduras, and Nicaragua," Policy Research Working Paper Series 3621, The World Bank.
    3. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    4. Guasch, J. Luis, 2008. "Robust methodology for investment climate assessment on productivity: application to investment climate surveys from Central America," UC3M Working papers. Economics we081911, Universidad Carlos III de Madrid. Departamento de Economía.
    5. Yılmaz Kılıçaslan & Robin C. Sickles & Aliye Atay Kayış & Yeşim Üçdoğruk Gürel, 2017. "Impact of ICT on the productivity of the firm: evidence from Turkish manufacturing," Journal of Productivity Analysis, Springer, vol. 47(3), pages 277-289, June.
    6. Eric Manes, 2009. "Pakistan's Investment Climate : Laying the Foundation for Growth, Volume 2. Annexes," World Bank Publications - Reports 12411, The World Bank Group.
    7. Guasch, J. Luis & Orte, Manuel De & Pena, Jorge, 2008. "Investment climate assessment based on demean Olley and Pakes decompositions: methodology and application to Turkey's investment climate survey," UC3M Working papers. Economics we082012, Universidad Carlos III de Madrid. Departamento de Economía.
    8. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    9. repec:wsr:wpaper:y:2016:i:165 is not listed on IDEAS
    10. Ioannis Bournakis & Mike Tsionas, 2024. "A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(3), pages 641-671, June.
    11. Dobbelaere, Sabien & Kiyota, Kozo & Mairesse, Jacques, 2015. "Product and labor market imperfections and scale economies: Micro-evidence on France, Japan and the Netherlands," Journal of Comparative Economics, Elsevier, vol. 43(2), pages 290-322.
    12. Jan De Loecker & Frederic Warzynski, 2012. "Markups and Firm-Level Export Status," American Economic Review, American Economic Association, vol. 102(6), pages 2437-2471, October.
    13. Simon Pröll & Giannis Karagiannis & Klaus Salhofer, 2019. "Advertising and Markups: The Case of the German Brewing Industry," Working Papers 732019, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    14. Victor Aguirregabiria & Margaret Slade, 2017. "Empirical models of firms and industries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1445-1488, December.
    15. Trax, Michaela & Brunow, Stephan & Suedekum, Jens, 2015. "Cultural diversity and plant-level productivity," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 85-96.
    16. Petrick, Martin & Kloss, Mathias, 2018. "Identifying Agricultural Factor Productivity from Micro-data: A Review of Approaches with an Application to EU Countries," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 67(2), June.
    17. Petrick, Martin & Kloss, Mathias, 2013. "Identifying Factor Productivity from Micro-data: The case of EU agriculture," Working papers 144004, Factor Markets, Centre for European Policy Studies.
    18. Quang-Thanh Ngo & Canh Thi Nguyen, 2020. "Do export transitions differently affect firm productivity? Evidence across Vietnamese manufacturing sectors," Post-Communist Economies, Taylor & Francis Journals, vol. 32(8), pages 1011-1037, November.
    19. Derek Kruse & Kristie Briggs & Eric J. Neuman, 2022. "Mitigating endogeneity in corporate social responsibility research: An investigation using a neoclassical production function," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 3-15, January.
    20. Alvaro Escribano & J. Luis Guasch & Manuel De Orte & Jorge Pena, 2009. "Investment Climate Assessment In Indonesia, Malaysia, The Philippines And Thailand: Results From Pooling Firm-Level Data," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(03), pages 335-366.
    21. Khanna, Rupika & Sharma, Chandan, 2021. "Do technological investments promote manufacturing productivity? A firm-level analysis for India," Economic Modelling, Elsevier, vol. 105(C).

    More about this item

    Keywords

    Total Factor Productivity;

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cte:werepe:28639. 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: Ana Poveda (email available below). General contact details of provider: http://www.eco.uc3m.es/ .

    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.