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Industrial data sharing and data readiness: a law and economics perspective
We study the incentives and welfare properties of industrial data sharing taking into account the data (economy) readiness of companies. We...
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Knowledge Management and Data Analysis Techniques for Data-Driven Financial Companies
In today’s fast-paced financial industry, knowledge management and data-driven decision making have become essential for the success of financial...
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Property rights theory, bundles of rights on IoT data, and the EU Data Act
With the advance of smart IoT devices (Internet of Things) the amount of valuable data will increase dramatically. With its recently enacted Data Act...
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Data as Clues
Details of the data collected and the reasons why these data were collected are presented. Data are for the New York Stock Exchange, the Philadelphia...
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Time Series Data
When having time series data, there are many challenges that we can meet. This chapter covers the main issues, and relevant tests, for stationarity,...
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Data portability and competition: Can data portability increase both consumer surplus and profits?
We study how data portability affects consumer surplus and firms’ profits in a two-period model with a switching cost where two firms compete under a...
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Limits of Data Society
The world is currently undergoing an unparalleled technological transformation that is resha** the dynamics of how individuals, families and...
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Overview of Data Quality: Examining the Dimensions, Antecedents, and Impacts of Data Quality
Competition in the business world is fierce, and poor decisions can bring disaster to firms, especially in the big data era. Decision quality is...
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Characterization of Usage Data with the Help of Data Classifications
Comprehensive data understanding is a key success driver for data analytics projects. Knowing the characteristics of the data helps a lot in...
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Observed-data DIC for spatial panel data models
In spatial panel data modeling, researchers often need to choose a spatial weights matrix from a pool of candidates, and decide between static and...
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The Usefulness of High-Frequency Alternative Data to Obtain Nowcasts for Japan’s GDP: Evidence from Credit Card Data
High-frequency alternative data, with their nearly real-time availability, provide timely information to track economic activity in real time. This...
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Inferring alighting bus stops from smart card data combined with cellular signaling data
Alighting bus stops inferring is of great significance for origin–destination estimation. Cellular signaling data (CSD), a kind of individual...
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Spatiotemporal Analysis of Traffic Data: Correspondence Analysis with Fuzzified Variables vs. Principal Component Analysis Using Weather and Gas Price as Extra Data
Study of large rail traffic databases presents formidable challenges for transport system specialists, more particularly while kee** both space and...
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A tale of two data sets: comparing German administrative and survey data using wage inequality as an example
The IAB’s Sample of Integrated Labour Market Biographies (SIAB) and the Socio-Economic Panel (SOEP) are the two data sets most commonly used to...
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Data and Methods
This chapter briefly outlines the research framework and data collection process used in this volume, and discusses the indicators used for analysis,...
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Data Evaluation: Results
The chapter dealing with the data evaluation analyses in detail the achieved results within the activities performed to achieve the set goal of the...
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Data transparency and sovereign financing conditions
This paper provides novel evidence on the link between transparency through dissemination of economic data and financing conditions in international...
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Myth 7: Your Data Is Gold
Claims that “your data” is a modern form of gold, and that Big Tech makes too much money off of it are wrong in two fundamental ways: The data about...
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Financial Data Analytics Theory and Application
This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics...