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Classifying Firms with Text Mining

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  • Giacomo Caterini

Abstract

Statistics on the births, deaths and survival rates of firms are crucial pieces of information, as they enter as an input in the computation of GDP, the identification of each sector’s contribution to the economy, and the assessment of gross job creation and destruction rates. Official statistics on firm demography are made available only several months after data collection and storage, however. Furthermore, unprocessed and untimely administrative data can lead to a misrepresentation of the life-cycle stage of a firm. In this paper we implement an automated version of Eurostat’s algorithm aimed at distinguishing true startup endeavors from the resurrection of pre-existing but apparently defunct firms. The potential gains from combining machine learning, natural language processing and econometric tools for pre- processing and analyzing granular data are exposed, and a machine learning method predicting reactivations of deceptively dead firms is proposed.

Suggested Citation

  • Giacomo Caterini, 2018. "Classifying Firms with Text Mining," DEM Working Papers 2018/09, Department of Economics and Management.
    • Handle: RePEc:trn:utwprg:2018/09
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    References listed on IDEAS

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    1. André Stel & Martin Carree & Roy Thurik, 2005. "The Effect of Entrepreneurial Activity on National Economic Growth," Small Business Economics, Springer, vol. 24(3), pages 311-321, February.
    2. Wolfgang Härdle & Yuh-Jye Lee & Dorothea Schäfer & Yi-Ren Yeh, 2009. "Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 512-534.
    3. Ikudo, Akina & Lane, Julia & Staudt, Joseph & Weinberg, Bruce A., 2018. "Occupational Classifications: A Machine Learning Approach," IZA Discussion Papers 11738, Institute of Labor Economics (IZA).
    4. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    5. Castle, Jennifer L. & Fawcett, Nicholas W.P. & Hendry, David F., 2009. "Nowcasting is not Just Contemporaneous Forecasting," National Institute Economic Review, National Institute of Economic and Social Research, vol. 210, pages 71-89, October.
    6. Roger Stough & Dennis McBride, 2014. "Big Data and U.S. Public Policy," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 339-342, July.
    7. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    8. Gérard Biau & Erwan Scornet, 2016. "Rejoinder on: A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 264-268, June.
    9. Laurie A. Schintler & Rajendra Kulkarni, 2014. "Big Data for Policy Analysis: The Good, The Bad, and The Ugly," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 343-348, July.
    10. Gérard Biau & Erwan Scornet, 2016. "A random forest guided tour," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 197-227, June.
    11. Gul, Ferdinand A. & Kim, Jeong-Bon & Qiu, Annie A., 2010. "Ownership concentration, foreign shareholding, audit quality, and stock price synchronicity: Evidence from China," Journal of Financial Economics, Elsevier, vol. 95(3), pages 425-442, March.
    12. Nadim Ahmad, 2008. "A Proposed Framework for Business Demography Statistics," International Studies in Entrepreneurship, in: Emilio Congregado (ed.), Measuring Entrepreneurship, chapter 0, pages 113-174, Springer.
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    More about this item

    Keywords

    Business Demography; Classification; Text Mining;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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