- • In 2014 Suazo and Pérez presented the first paper of Chilean business demography, based on this data.
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- • This formalization has allowed the creation of an historical data base of roughly 25 million administrative registers from the year 2007 to 2015. The software that managed this DB was also acquired in 2015, and it is SAS. • This data base has many potential uses, being one of them, computing a set of indicators related to business dynamics, describing births, deaths and survival patterns of companies.
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Audretsch, Santarelli and Vivarelli (1999). “Start-up size and industrial dynamics: some evidence from Italian manufacturingâ€, International Journal of Industrial Organization, 1999, vol. 17, issue 7, 965-983.
- Background • The Central Bank has been receiving the tax records data base from the Chilean IRS by way of special orders since 2010 and only since 2015 through a formal agreement.
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Bhattacharjee (2005).†The Effect of P2P File Sharing on Music Markets: A Survival Analysis of Albums on Ranking Charts†Blanchflower and Oswald (1998). “What Makes an Entrepreneur?â€, Journal of Labor Economics, 1998, 16(1), pp. 26-60.
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Correa, C. y EchavarrÃa, G. (2013), “Estimación del aporte de las Pyme a la actividad en Chile, 2008-2011â€.
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- Definitions • Birth rate: ∑Nti Enterprise births in the sector i, at the year t ∑Tt i Stock of enterprises in the sector i, at the year t • Survival rate: ∑St+k Enterprise survivals in the sector i, year t+ k=1,…, 5 ∑Tt i Stock of enterprises in the sector i, at the year t • Death rate: ∑Mti Enterprise deaths in the sector i, at the year t ∑Tt i Stock of enterprises in the sector i, at the year t Preliminary Findings: Survival Rates 2011 2012 2013 2014 2015 Survival Rate, Cohort 2010 by Broad Economic Sectors Agriculture & Fishing Mining, Manufacturing & Utilities Construction Wholesale & Retail Trade Other Services % 2011 2012 2013 2014 2015 Survival Rate, Cohort 2010 by Size Micro & Small Medium & Large %
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- Determinants of business demography in Chile over the 2010 – 2015 period Central Bank of Chile - Statistics Division Diana López Daymler O’Farril Josué Pérez Beatriz Velasquez Outline of the presentation • Motivation • Background • Data • Preliminary Findings Motivation • Using Big Data to exploit the potential of the Internal Revenue Service’s anonymized administrative records data base. • Using Big Data to find evidence on the probability of survival of non-financial enterprises in Chile by analyzing the reasons behind their definitive closure.
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Ericson and Pakes (1998).†Empirical Implications of Alternative Models of Firm Dynamicsâ€. Journal of Economic Theory, 1998, vol. 79, issue 1, 1-45 Evans and Jovanovic (1989). “An Estimated Model of Entrepreneurial Choice under Liquidity Constraintsâ€, Journal of Political Economy Vol. 97, No. 4 (Aug., 1989), pp. 808-827.
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- IFC-Bank Indonesia Satellite Seminar on “Big Data†at the ISI Regional Statistics Conference 2017 Bali, Indonesia, 21 March 2017 Determinants of business demography in Chile over the 2010-15 period1 Beatriz Velasquez, Central Bank of Chile This presentation was prepared for the meeting. The views expressed are those of the author and do not necessarily reflect the views of the BIS, the IFC or the central banks and other institutions represented at the meeting.
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Joachim Wagner (2012).†Exports, imports and firm survival: first evidence for manufacturing enterprises in Germany†Kimura Fukunari and Takamune Fujii (2003), “Globalizing activities and the rate of survival: Panel data analysis on japenese firmsâ€, 2003.
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