The Data Economy
Tools and Applications
Seiten
2025
Princeton University Press (Verlag)
978-0-691-25672-6 (ISBN)
Princeton University Press (Verlag)
978-0-691-25672-6 (ISBN)
- Noch nicht erschienen (ca. Januar 2025)
- Versandkostenfrei innerhalb Deutschlands
- Auch auf Rechnung
- Verfügbarkeit in der Filiale vor Ort prüfen
- Artikel merken
Tools from macroeconomics and finance to incorporate the central role that data plays in the economy
The most valuable firms in the global economy are valued largely for their data. Amazon, Apple, Google, and others have proven the competitive advantage of a good data set. And yet despite the growing importance of data as a strategic asset, modern economic theory neglects its role. In this book, Isaac Baley and Laura Veldkamp draw on a range of theoretical frameworks at the research frontier in macroeconomics and finance to model and measure data economies. Starting from the premise that data is digitized information that facilitates prediction and reduces uncertainty, Baley and Veldkamp uncover the ways that firm-level data choices resonate throughout the broader macroeconomic and financial landscapes.
With The Data Economy, Baley and Veldkamp put forward a broad research agenda with a formal yet accessible approach, offering an analysis of the data economy and its welfare effects that will be of interest to practitioners, researchers, and graduate students. The tools presented, many of them information-related methods from macroeconomics and finance, are theoretical but introduced with careful attention to how they can inform or enable measurement. Applications include assessing the economic worth of data and unraveling its influence on the structure of production, inflation, and pricing dynamics; firm and investor behavior; advertising; market power; and asset pricing. Baley and Veldkamp bring readers to the cutting edge of this novel research area, equipping them to formulate their own theoretical advances and policy analysis.
The most valuable firms in the global economy are valued largely for their data. Amazon, Apple, Google, and others have proven the competitive advantage of a good data set. And yet despite the growing importance of data as a strategic asset, modern economic theory neglects its role. In this book, Isaac Baley and Laura Veldkamp draw on a range of theoretical frameworks at the research frontier in macroeconomics and finance to model and measure data economies. Starting from the premise that data is digitized information that facilitates prediction and reduces uncertainty, Baley and Veldkamp uncover the ways that firm-level data choices resonate throughout the broader macroeconomic and financial landscapes.
With The Data Economy, Baley and Veldkamp put forward a broad research agenda with a formal yet accessible approach, offering an analysis of the data economy and its welfare effects that will be of interest to practitioners, researchers, and graduate students. The tools presented, many of them information-related methods from macroeconomics and finance, are theoretical but introduced with careful attention to how they can inform or enable measurement. Applications include assessing the economic worth of data and unraveling its influence on the structure of production, inflation, and pricing dynamics; firm and investor behavior; advertising; market power; and asset pricing. Baley and Veldkamp bring readers to the cutting edge of this novel research area, equipping them to formulate their own theoretical advances and policy analysis.
Isaac Baley is associate professor of economics at Universitat Pompeu Fabra, associate researcher at the Centre de Recerca en Economia Internacional, and affiliated professor at the Barcelona School of Economics. He is a former economic advisor to the Mexican Ministries of Economics and Finance. Laura Veldkamp is the Cooperman Professor of Economics and Finance at Columbia University's Graduate School of Business. She is the author of Information Choice in Macroeconomics and Finance (Princeton), a former editor of the Journal of Economic Theory, and a member of the American Finance Association's board of directors.
Erscheint lt. Verlag | 14.1.2025 |
---|---|
Zusatzinfo | 10 b/w illus. |
Verlagsort | New Jersey |
Sprache | englisch |
Maße | 156 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Wirtschaft ► Allgemeines / Lexika | |
Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
Wirtschaft ► Volkswirtschaftslehre ► Makroökonomie | |
ISBN-10 | 0-691-25672-1 / 0691256721 |
ISBN-13 | 978-0-691-25672-6 / 9780691256726 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
44,90 €
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
74,95 €