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ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data

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  • Frank Windmeijer

    (Institute for Fiscal Studies and University of Bristol)

Abstract

ExpEnd is a Gauss programme for non-linear generalised method of moments (GMM) estimation of exponential models with endogenous regressors for cross section and panel data. The estimators included in this package are simple Poisson pseudo ML; GMM for cross section data using moment conditions based on multiplicative or additive errors; within groups fixed effects Poisson for panel data; GMM estimation using quasi-differenced moment conditions eliminating unobserved heterogeneity and allowing for predetermined or endogenous regressors; and quasi-differenced GMM for a dynamic linear feedback model. This manual describes in detail the various estimators, the data and software requirements, and the programme commands. The programme can be downloaded here [zip file, 435KB].

Suggested Citation

  • Frank Windmeijer, 2002. "ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data," CeMMAP working papers CWP14/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:cemmap:14/02
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    File URL: http://cemmap.ifs.org.uk/wps/cwp0214.pdf
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    Cited by:

    1. Hyytinen, Ari & Takalo, Tuomas, 2004. "Multihoming in the market for payment media: evidence from young Finnish consumers," Bank of Finland Research Discussion Papers 25/2004, Bank of Finland.
    2. Kaiser, Ulrich & Kongsted, Hans Christian & Rønde, Thomas, 2015. "Does the mobility of R&D labor increase innovation?," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 91-105.
    3. Shiferaw Gurmu & Fidel Pérez-Sebastián, 2008. "Patents, R&D and lag effects: evidence from flexible methods for count panel data on manufacturing firms," Empirical Economics, Springer, vol. 35(3), pages 507-526, November.
    4. Carrión-Flores, Carmen E. & Innes, Robert & Sam, Abdoul G., 2013. "Do voluntary pollution reduction programs (VPRs) spur or deter environmental innovation? Evidence from 33/50," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 444-459.
    5. Abel Lucena, 2011. "The Organizational Designs of R&D Activities and their Performance Implications: Empirical Evidence for Spain," Industry and Innovation, Taylor & Francis Journals, vol. 18(2), pages 151-176.
    6. Wang, Ning & Hagedoorn, John, 2014. "The lag structure of the relationship between patenting and internal R&D revisited," Research Policy, Elsevier, vol. 43(8), pages 1275-1285.
    7. Frank Windmeijer, 2006. "GMM for panel count data models," CeMMAP working papers CWP21/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. repec:dau:papers:123456789/6962 is not listed on IDEAS
    9. repec:zbw:bofrdp:2008_002 is not listed on IDEAS
    10. Andrés Romeu, 2004. "ExpEnd: GAUSS code for panel count-data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 429-434.
    11. Davis, James C. & Henderson, J. Vernon, 2008. "The agglomeration of headquarters," Regional Science and Urban Economics, Elsevier, vol. 38(5), pages 445-460, September.
    12. Hyytinen Ari & Takalo Tuomas, 2009. "Consumer Awareness and the Use of Payment Media: Evidence from Young Finnish Consumers," Review of Network Economics, De Gruyter, vol. 8(2), pages 1-25, June.
    13. Sandro Montresor & Francesco Quatraro, 2015. "Smart Specialization Strategies and Key Enabling Technologies. Regional evidence from European patent data," Papers in Evolutionary Economic Geography (PEEG) 1525, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2015.
    14. Hyytinen Ari & Takalo Tuomas, 2009. "Consumer Awareness and the Use of Payment Media: Evidence from Young Finnish Consumers," Review of Network Economics, De Gruyter, vol. 8(2), pages 1-25, June.
    15. Almodóvar, Paloma & Nguyen, Quyen T.K. & Verbeke, Alain, 2021. "An integrative approach to international inbound sources of firm-level innovation," Journal of World Business, Elsevier, vol. 56(3).
    16. Jože P. Damijan & Sašo Polanec & Janez Prašnikar, 2007. "Outward FDI and Productivity: Micro‐evidence from Slovenia," The World Economy, Wiley Blackwell, vol. 30(1), pages 135-155, January.
    17. Basu, Sandip & Phelps, Corey & Kotha, Suresh, 2011. "Towards understanding who makes corporate venture capital investments and why," Journal of Business Venturing, Elsevier, vol. 26(2), pages 153-171, March.
    18. Grönqvist, Erik, 2006. "(M)oral Hazard?," SSE/EFI Working Paper Series in Economics and Finance 642, Stockholm School of Economics.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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