Books in Mathematical and quantitative methods general

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Handbook of the Economics of Education

• 1st Edition
• Volume 7
• October 26, 2023
• Stephen J. Machin + 2 more
• English
• Hardback 978-0-443-13276-6

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• eBook 978-0-443-13277-3

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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 978-0-323-89965-9

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• eBook 978-0-323-89966-6

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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.

Statistical Modeling Using Local Gaussian Approximation

• 1st Edition
• October 5, 2021
• Dag Tjøstheim + 2 more
• English
• Paperback 978-0-12-815861-6

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• eBook 978-0-12-815445-8

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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.

The Econometric Analysis of Network Data

• 1st Edition
• May 15, 2020
• Bryan Graham + 1 more
• English
• Paperback 978-0-12-811771-2

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• eBook 978-0-12-811772-9

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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 978-0-12-817648-1

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• eBook 978-0-12-817649-8

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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.

Flexible Bayesian Regression Modelling

• 1st Edition
• October 30, 2019
• Yanan Fan + 3 more
• English
• Paperback 978-0-12-815862-3

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• eBook 978-0-12-815863-0

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Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need for considerable flexibility in modeling techniques. It reviews three forms of flexibility: methods which provide flexibility in their error distribution; methods which model non-central parts of the distribution (such as quantile regression); and finally models that allow the mean function to be flexible (such as spline models). Each chapter discusses the key aspects of fitting a regression model. R programs accompany the methods. This book is particularly relevant to non-specialist practitioners with intermediate mathematical training seeking to apply Bayesian approaches in economics, biology, finance, engineering and medicine.

The Mind under the Axioms

• 1st Edition
• September 18, 2019
• Sacha Bourgeois-Gironde
• English
• Paperback 978-0-12-815131-0

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• eBook 978-0-12-815132-7

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The Mind under the Axioms reviews two basic ingredients of our understanding of human decisions – conative aspects (preferences) and cognitive aspects (beliefs). These ingredients are axiomatized in modern decision theory in the view to obtain a formally and empirically tractable representation of the decision-maker. The main issue developed in this book is the connection between realistic and testable psychological features and the descriptive component of abstract axioms of rationality. It addresses three main topics for which the interaction between axiomatization and psychology leads to potential new developments in experimental decision-theory and puts strictures on the standard revealed preference methodology prevailing in that field. The possibility of a cardinal representation of preferences is discussed. Different ways of accounting for incomplete preferences, and in which sense, are analysed. Finally, the conditions of separability between preferences and beliefs, such as prescribed by axioms of state-independence, are submitted to actual and potential tests. The book offers a bridge between the disciplines of decision-theory, psychology, and neuroeconomics. It is thus relevant for those, in psychology and cognitive sciences, who are sometimes put off by the high degree of formalism and abstraction in decision-theory, that seems to lie beyond the reach of psychological realism. It also aims to convince those in decision-theory for whom psychological realism and empirical testability should not constrain the modelling enterprise that conceptual clarification can come from attempted experimentation.

The Extended Energy–Growth Nexus

• 1st Edition
• June 8, 2019
• Jose Alberto Fuinhas + 1 more
• English
• Paperback 978-0-12-815719-0

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• eBook 978-0-12-815444-1

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The Extended Energy-Growth Nexus: Theory and Empirical Applications advances the established bivariate econometric relationship which inextricably links energy consumption to economic growth. The book extends this "nexus" to accommodate variables such as globalization, institutional variables, financial variables and the energy "mix." Rooted firmly in the modern literature, it covers empirical applications such as the evaluation of renewable energy incentives, the electricity generation mix, and sustainable development. Each application area incorporates modern econometric methodologies, including VAR, panel VAR, ARDL, panel ARDL, Asymmetric panel ARDL, and Panel Quantile Regression. Throughout chapters are accompanied by illustrative Stata and EViews code, demonstrating their uses in applied research.

Dishonesty in Behavioral Economics

• 1st Edition
• June 4, 2019
• Alessandro Bucciol + 1 more
• English
• Paperback 978-0-12-815857-9

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• eBook 978-0-12-815858-6

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Dishonesty in Behavioral Economics provides a rigorous and comprehensive overview of dishonesty, presenting state-of-the-art research that adopts a behavioral economics perspective. Throughout the volume, contributors emphasize the effects of psychological, social, and cognitive factors on the decision-making process. In contrast to related titles, Dishonesty in Behavioral Economics emphasizes the importance of empirical research methodologies. Its contributors demonstrate how various methods applied to similar research questions can lead to different results. This characteristic is important because, of course, it is difficult to obtain reliable measures of dishonesty.

Ranked Set Sampling

• 1st Edition
• October 16, 2018
• Carlos N. Bouza-Herrera + 1 more
• English
• Paperback 978-0-12-815044-3

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• eBook 978-0-12-815693-3

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Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective and efficient sampling designs, giving RSS techniques a particular place in resolving the disciplinary problems of economists in application contexts, particularly experimental economics. This book seeks to place RSS at the heart of economic study designs.