Third-degree Price Discrimination in the Age of Big Data PDF Download
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Author: George Charlson
Publisher:
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Category :
Languages : en
Pages :
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Author: George Charlson
Publisher:
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Category :
Languages : en
Pages :
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Author: Benjamin Reed Shiller
Publisher:
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Category :
Languages : en
Pages :
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Author: Walter R. Paczkowski
Publisher: Routledge
ISBN: 1351713094
Category : Business & Economics
Languages : en
Pages : 318
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Book Description
The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.
Author: Benjamin Reed Shiller
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Martin Ebers
Publisher: Bloomsbury Publishing
ISBN: 1509950702
Category : Law
Languages : en
Pages : 384
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This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws.
Author: Martin Kolmar
Publisher: Springer Nature
ISBN: 3030781674
Category : Business & Economics
Languages : en
Pages : 500
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Book Description
This textbook provides a comprehensive and unique introduction to modern microeconomics. It adopts an integrative approach, positioning the main findings of economics in a broader context. It critically reflects on theories from a philosophical standpoint and compares them to approaches found in the social sciences, while at the same time highlighting the implications for the design of legal systems and business practices. Intended for undergraduate students, the book presents brief examples and comprehensive case studies to help them grasp the real-world implications of the theories. As such, it is suitable for an applied, yet technically precise approach to teaching microeconomics, as well as for a critical review of the economic mainstream. Starting from the question as to why and how societies organize economic activity, it analyzes the potential and limitations of various types of market with regard to alleviating scarcity and achieving distributive objectives, from an institutional perspective. This second edition systematically expands on decision theory by including chapters on traditional decision theory under risk and uncertainty, and on behavioral economics, as well as a chapter presenting findings from the neurosciences, evolutionary psychology, and narrative psychology. Furthermore, there are theoretical additions, along with updated case studies and examples – from trade wars to pandemics and the climate crisis. A new edition of the companion workbook features a wealth of exercises, ranging from basic multiple-choice questions to challenging mathematical problems and case studies, is also available.
Author: Kevin Daimi
Publisher: Springer Nature
ISBN: 3031353080
Category : Technology & Engineering
Languages : en
Pages : 460
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Book Description
The Second International Conference on Innovations in Computing Research (ICR’23) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the innovations in computing technologies. The conference is aptly segmented into six tracks: Data Science, Computer and Network Security, Health Informatics and Medical Imaging, Computer Science and Computer Engineering Education, Internet of Things, and Smart Cities/Smart Energy. These tracks aim to promote a birds-of-the-same-feather congregation and maximize participation. The Data Science track covers a wide range of topics including complexity score for missing data, deep learning and fake news, cyberbullying and hate speech, surface area estimation, analysis of gambling data, car accidents predication model, augmenting character designers’ creativity, deep learning for road safety, effect of sleep disturbances on the quality of sleep, deep learning-based path-planning, vehicle data collection and analysis, predicting future stocks prices, and trading robot for foreign exchange. Computer and Network Security track is dedicated to various areas of cybersecurity. Among these are decentralized solution for secure management of IoT access rights, multi-factor authentication as a service (MFAaaS) for federated cloud environments, user attitude toward personal data privacy and data privacy economy, host IP obfuscation and performance analysis, and vehicle OBD-II port countermeasures. The Computer Science and Engineering Education track enfolds various educational areas, such as data management in industry–academia joint research: a perspective of conflicts and coordination in Japan, security culture and security education, training and awareness (SETA), influencing information security management, engaging undergraduate students in developing graphical user interfaces for NSF funded research project, and emotional intelligence of computer science teachers in higher education. On the Internet of Things (IoT) track, the focus is on industrial air quality sensor visual analytics, social spider optimization meta-heuristic for node localization optimization in wireless sensor networks, and privacy aware IoT-based fall detection with infrared sensors and deep learning. The Smart Cities and Smart Energy track spans various areas, which include, among others, research topics on heterogeneous transfer learning in structural health monitoring for high-rise structures and energy routing in energy Internet using the firefly algorithm.
Author: David Birget
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In a context where more and more personal data is gathered by companies thanks to the rise of social networks, the internet of things, e-commerce and many other online services, it is interesting to explore how this data can be used profitably by different businesses. One potential application is to use online data to estimate the willingness to pay of consumers in order to implement personalised pricing. The goal of this thesis is threefold. First of all, I investigate to what extend price discrimination is already being used online. Secondly, I analyse the future economic potential of personalised pricing in the light of the recent progress in data collection and analytics. Thirdly, I examine the economic implications for different stakeholders resulting from a hypothetical large-scale use of personalised pricing by online shops. In this context, I also review current regulation and suggest potential improvements.
Author: David Arthur Malueg
Publisher:
ISBN:
Category :
Languages : en
Pages : 10
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Author: Richard Schmalensee
Publisher:
ISBN:
Category : Price discrimination
Languages : en
Pages : 14
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