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Books in Mathematical and quantitative methods

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Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations

  • 1st Edition
  • July 22, 2024
  • Tshilidzi Marwala
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 2 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 9 8 3 - 0
Recent advances in AI and Mechanism Design provide a vital tool for solving collective action problems, common in international relations. By using AI to optimize mechanisms for cooperation and coordination, we can better address issues such as climate change, trade, and security. Mechanism Design, Behavioral Science and Artificial Intelligence in International Relations shows readers how the intersection of Mechanism Design and Artificial Intelligence is revolutionizing the way we approach international relations. By using AI to optimize mechanisms, we can design better institutions, policies, and agreements that are more effective and efficient. Dr. Tshilidzi Marwala, United Nations University Rector and UN Under-Secretary General, presents the essential technologies used in Game Theory, Mechanism Design and AI and applies these to significant global issues such as interstate conflict, cybersecurity, and energy. International relations are a complex field, with many different actors and interests in play. By incorporating AI into our analysis and decision-making processes, we can better understand and predict the behavior of multiple actors and design mechanisms that take these behaviors into account, thereby producing more desirable and creative interdisciplinary approaches. The book presents real-world applications of these rapidly evolving technologies in crucial research fields such as Interstate Conflict, International Trade, Climate Change, Water management, Energy, cybersecurity, and global finance.

Handbook of the Economics of Education

  • 1st Edition
  • Volume 7
  • October 26, 2023
  • Stephen J. Machin + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 1 3 2 7 6 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 2 7 7 - 3
Handbook of the Economics of Education, Volume Seven describes the research frontier in key topical areas and sets the agenda for further work. Sections in this new release include Methods for Measuring School Effectiveness, Teacher Evaluation and Training, U.S. School Finance: Resources and Outcomes, College Costs, Financial Aid, and Student Decisions, Firm Training, Multidimensional Human Capital and the Wage Structure, and more. By bringing together some of the world’s leading scholars, this volume provides a unique view of scholarship in the area. The international perspectives of the editors – Hanushek at Stanford, Machin at LSE, and Woessmann at Munich – leads to a volume with something for all researchers. Topics range from the economics of early childhood education to inequality in society to cash transfers in developing countries.

Handbook of the Economics of the Family

  • 1st Edition
  • March 23, 2023
  • Shelly Lundberg + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 8 9 9 6 5 - 9
  • eBook
    9 7 8 - 0 - 3 2 3 - 8 9 9 6 6 - 6
Handbook of the Economics of the Family, Volume One includes comprehensive surveys of the current state of the economics literaure in the field, prepared by leading scholars, with a particular empahsis on the most recent developments in each area. Chapters cover Culture and the family; Mating markets; Household decisions and intra-household distributions; The economics of fertility: a new era; Families, labor markets, and policy; Family background, neighborhoods, and intergenerational mobility; The great transition: Kuznets facts for family-economists; An institutional perspective on the economics of the family.

Handbook of the Economics of Education

  • 1st Edition
  • Volume 6
  • January 18, 2023
  • Eric A. Hanushek + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 9 9 2 4 0 - 4
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 9 2 4 1 - 1
The Handbook of the Economics of Education describes the research frontier in key topical areas and sets the agenda for further work. Modern analysis in the economics of education has made tremendous strides in understanding fundamental issues related to the production of human capital and the impact of varying institutional features of education systems. By bringing together some of the world’s leading scholars, this volume provides a unique view of scholarship in the area. The international perspectives of the editors – Hanushek at Stanford, Machin at LSE, and Woessmann at Munich – leads to a volume with something for all researchers. Topics range from the economics of early childhood education to inequality in society to cash transfers in developing countries.

Actuarial Principles

  • 1st Edition
  • October 29, 2021
  • Andrew Leung
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 0 1 7 2 - 7
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 0 1 7 3 - 4
Actuarial Principles: Lifetables and Mortality Models explores the core of actuarial science: the study of mortality and other risks and applications. Including the CT4 and CT5 UK courses, but applicable to a global audience, this work lightly covers the mathematical and theoretical background of the subject to focus on real life practice. It offers a brief history of the field, why actuarial notation has become universal, and how theory can be applied to many situations. Uniquely covering both life contingency risks and survival models, the text provides numerous exercises (and their solutions), along with complete self-contained real-world assignments.

Statistical Modeling Using Local Gaussian Approximation

  • 1st Edition
  • October 5, 2021
  • Dag Tjøstheim + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 5 8 6 1 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 5 4 4 5 - 8
Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the most well-known and most used distribution in statistics, to a large class of non-Gaussian and nonlinear situations through local approximation. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and spectral density functions, and in discrimination. Chapters in this release cover Parametric, nonparametric, locally parametric, Dependence, Local Gaussian correlation and dependence, Local Gaussian correlation and the copula, Applications in finance, and more. Additional chapters explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation,  Conditional density estimation, The local Gaussian partial correlation, Regression and conditional regression quantiles, and a A local Gaussian Fisher discriminant.

Handbook of Econometrics

  • 1st Edition
  • Volume 7A
  • November 25, 2020
  • Steven Durlauf + 3 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 6 3 6 4 9 - 2
  • eBook
    9 7 8 - 0 - 4 4 4 - 6 3 6 5 4 - 6
Handbook of Econometrics, Volume 7A, examines recent advances in foundational issues and "hot" topics within econometrics, such as inference for moment inequalities and estimation of high dimensional models. With its world-class editors and contributors, it succeeds in unifying leading studies of economic models, mathematical statistics and economic data. Our flourishing ability to address empirical problems in economics by using economic theory and statistical methods has driven the field of econometrics to unimaginable places. By designing methods of inference from data based on models of human choice behavior and social interactions, econometricians have created new subfields now sufficiently mature to require sophisticated literature summaries.

A Guide to Econometric Methods for the Energy-Growth Nexus

  • 1st Edition
  • November 10, 2020
  • Angeliki Menegaki
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 9 0 3 9 - 5
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 9 0 4 0 - 1
A Guide to Econometric Methods for the Energy-Growth Nexus presents, explains and compares all the available econometrics methods pertinent to the energy-growth nexus. Chapters cover methods and applications, starting with older econometric methods and moving toward new ones. Each chapter presents the method and facts about its applications, providing step-by-step explanations about the ways the method meets the demands of the field. In addition, applied case studies and practical research steps are included to enhance the learning process. By touching on all relevant econometric methods for the energy-growth nexus, this book gives energy-growth researchers and students all they need to tackle the subject matter.

The Econometric Analysis of Network Data

  • 1st Edition
  • May 15, 2020
  • Bryan Graham + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 1 7 7 1 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 1 7 7 2 - 9
The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice.

Elements of Numerical Mathematical Economics with Excel

  • 1st Edition
  • November 27, 2019
  • Giovanni Romeo
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 7 6 4 8 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 7 6 4 9 - 8
Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic optimization theory in an easy and practical manner, without requiring the mastery of specific programming languages that are often difficult and expensive to learn. Featuring user-friendly numerical discrete calculations developed within the Excel worksheets, the book includes key examples and economic applications solved step-by-step and then replicated in Excel. After introducing the fundamental tools of mathematical economics, the book explores the classical static optimization theory of linear and nonlinear programming, applying the core concepts of microeconomics and some portfolio theory. This provides a background for the more challenging worksheet applications of the dynamic optimization theory. The book also covers special complementary topics such as inventory modelling, data analysis for business and economics, and the essential elements of Monte Carlo analysis. Practical and accessible, Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization increases the computing power of economists worldwide. This book is accompanied by a companion website that includes Excel examples presented in the book, exercises, and other supplementary materials that will further assist in understanding this useful framework.

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