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Global | Inversión en tiempo real y alta definición: Un enfoque Big Data
[Global | Investment in Real Time and High Definition: A Big Data Approach]

Author

Listed:
  • Ali Batuhan Barlas
  • Seda Guler Mert
  • Alvaro Ortiz
  • Tomasa Rodrigo

Abstract

Presentamos una serie de indicadores Big Data para imitar la inversión en tiempo real y alta definición. Usamos información agregada de Big Data de BBVA de transacciones de empresa a empresa y la complementamos con información de individuo a empresa. Los resultados son exitosos y son validados por varios test de robustez. We introduce a set of Big Data indicators to mimic Investment in Real Time and High Definition. We use aggregate information of BBVA Big Data from firm-to-firm transactions and complement with individual-to-firm information. The results are successful and are validated through multiple robustness checks.

Suggested Citation

  • Ali Batuhan Barlas & Seda Guler Mert & Alvaro Ortiz & Tomasa Rodrigo, 2020. "Global | Inversión en tiempo real y alta definición: Un enfoque Big Data [Global | Investment in Real Time and High Definition: A Big Data Approach]," Working Papers 20/13, BBVA Bank, Economic Research Department.
    • Handle: RePEc:bbv:wpaper:2013
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    References listed on IDEAS

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    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity

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