atyho / ifc-data-science-in-central-banking

Files for IFC Workshop on Data Science in Central Banking

IFC-Data-Science-in-Central-Banking

Description

This is the data repository for project titled "Cloud Computing Research Collaboration: An Application to Access to Cash and Financial Services" presented at the IFC and Bank of Italy workshop on Data Science in Central Banking Part 1 and Part 2.

Table of Contents

• Software Requirements
• Installation
• Containerization
• Usage
• License for Code
• Acknowledgements
• References

Software Requirements

• Apache Spark 2.3.0
• Python 3.6.4
  • pyspark 3.1.1

Installation

User can use Microsoft Azure Databricks.

Interested users can also set up their own managed cloud computing service (JupyterHub) following the step-by-step guide in our Journal of Econometric Methods article and the GitHub repository. Spark functionality can be added following the guide on installing Spark.

Containerization

containersDemoRM.mp4

Usage

The next section is usage, in which you instruct other people on how to use your project after they’ve installed it. This would also be a good place to include screenshots of your project in action.

License for Code

The code is licensed under a MIT license. See LICENSE for details.

Acknowledgements

The views expressed in this paper are those of the authors. No responsibility for these views should be attributed to the authors' affiliated organizations. All errors are the responsibility of the authors. We thank the ITS department at the Bank of Canada for their excellent assistance with Microsoft Azure Databricks.

References

• Canada Post. 2016. "Postal Code Latitude/Longitude Data Technical Specifications."

• Handel, Danielle V., Ho, Anson T. Y., Huynh, Kim P., Jacho-Chávez, David T. and Rea, Carson H.. "Econometrics Pedagogy and Cloud Computing: Training the Next Generation of Economists and Data Scientists" Journal of Econometric Methods, vol. 10, no. 1, 2021, pp. 89-102.

• Henry, Christopher, Kim Huynh, and Angelika Welte. 2018. "2017 Methods-of-Payment Survey Report." Bank of Canada Staff Discussion Papers (18-17).

• IFC and Bank of Italy Workshop on "Data Science in Central Banking" Part 1: Data Science in Central Banking: Machine learning applications, 19-22 October 2021, virtual event hosted by the Bank of Italy.

• IFC workshop on "Data Science in Central Banking" Part 2: Data Science in Central Banking: Applications and tools, 14-17 Feb 2022, virtual event hosted by the Bank for International Settlements.

• Statistics Canada. 2020. "PostalCode Conversion File (PCCF), Reference Guide."