Large-scale commercial data for economic analysis
John W Galbraith
Foreword
Introduction
Digitalisation and transformation in economics and finance
Big data for policymaking in economics and finance: the potential and challenges
Quality matters: for insightful quality advice, get to know your big data
Statistics and machine learning: variations on a theme
Advanced statistical analysis of large-scale Web-based data
Text analysis
Prudential stress testing in financial networks
Data visualization: developing capabilities to make decisions and communicate
Data science in economics and finance: tools, infrastructure and challenges
Data science and machine learning for a data-driven central bank
Large-scale commercial data for economic analysis
Artificial intelligence and data are transforming the modern newsroom: a Bloomberg case study
Implementing big data solutions
A borderless market for digital data
Legal/ethical aspects and privacy: enabling free data flows
Assessing the trustworthiness of artificial intelligence
“Big tech”, journalism and the future of knowledge
Private firms collect many types of data that can be of value in economic analysis, and this data is increasingly being used by researchers to supplement official economic statistics, and in some cases to answer questions that cannot be addressed with traditional data. This chapter reviews a number of types of commercial data that have been exploited, both for ongoing monitoring of the economy and to address research questions in novel ways. We emphasise types of data that can be collected electronically and on a large scale.
INTRODUCTION
Traditionally, the most important economic data has come from official sources, usually government statistical agencies or central banks. Many of these data series are obtained through surveys, implying that construction of the data takes a substantial amount of time, so that the data is available with some time lag after the period to it applies. For example, gross domestic product (GDP) data is available in most developed countries at least six to eight weeks after the end of the period being measured.
This official data remains important; the breadth of its coverage of the economy may be difficult to match in any other way. Nonetheless
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