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Catalogue complet

Asymptotics for Fractional Processes develops an approach to the large-sample analysis of fractional partial-sum processes, featuring long memory increments.

Davidson J: Asymptotics for Fractional
Processes

Asymptotics for Fractional Processes

Contributions to Economics

The new macroeconomics is about distributions and flows, rather than points and intersections. Market frictions imply that the search for trading partners is time consuming and costly. Consequently, market participants flow between economic states, and trades occur at dispersed prices. This generates motives for continued search for better market opportunities, and for bargaining between potential trading partners. This volume takes the empirical analysis of markets with frictions to a new level by using unique merged registers from Denmark on firm accounting data, individual employee data, and international trade data to estimate empirically the relevant flow rates, dispersions, and relations among key variables of interest, including productivity, firm size, wages, exports, growth, and unemployment. The results serve to inform researchers and policy makers about the functioning of markets, justify the interpretation of dispersion and flows as equilibrium outcomes, and provide an understanding of cycles, adjustment, and potentials for public policy.

The new macroeconomics emphasizes distributions and flows rather than static points and intersections. Because market frictions make the search for trading partners time‑consuming and costly, market participants continually transition between economic states, and trades occur at dispersed prices. These frictions generate incentives for ongoing search and for bargaining between potential trading partners.This volume advances the empirical study of frictional markets by drawing on the unique&nbsp;merged Danish registers that combine firm accounting data, individual employee records, and international trade information. Using these rich data, it estimates key flow rates, dispersions, and relationships among central variables such as productivity, firm size, wages, exports, growth, and unemployment. The findings deepen our understanding of how markets function, support the interpretation of dispersion and flows as equilibrium outcomes, and offer new insights into economic cycles, adjustment dynamics, and policy design.
 This volume is dedicated to the memory of 
 Dale T. Mortensen
 . It acknowledges his pioneering contributions to the analysis of markets with search frictions and to the use of matched employer–employee data.

Evidence from Danish Matched Employer-Employee Data

Firm Heterogeneity, Labor Markets and International Trade

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Transformations In Banking, Finance And Regulation

This handbook presents key advancements in the methodologies, practices, and applications of traditional efficiency and productivity analysis. Through a combination of in-depth case studies and industry examples, readers will gain a deep understanding of how these advancements can be effectively implemented in various organisational settings.Frontier Analysis (FA), one of the key approaches presented within these pages, is a quantitative methodology used to measure and compare the relative efficiency and productivity of decision-making units (DMUs) within a specific industry or sector. FA is defined by its focus on identifying the 'best-practice frontier' -- representing the best achievable performance level given the available resources and technology of the DMUs involved. By studying the deviations between observed performance and the frontier, valuable insights are gained into areas of inefficiency and opportunities for improvement.Whether it involves analyzing supply chain operations, evaluating service delivery, or optimising manufacturing processes, the Handbook on Efficiency and Productivity Analysis will provide you with actionable guidance for driving tangible improvements in efficiency and productivity. Researchers, lecturers, and students of general production economics -- particularly in the fields of management and operations research -- are the primary targets of this title, but all stakeholders in relevant industries such as business management and policymaking will find this an indispensable resource.

Handbook On Efficiency And Productivity Analysis: Extending The Frontiers

The field of climate econometrics has undergone rapid development in recent years, shaped by the growing demand for empirical methods that can rigorously assess the multifaceted interactions between the economy and the climate system. Situated at the intersection of climate science and econometric methodology, this field responds to the urgent need for tools that quantify the economic impacts of climate variability and long-term climate change. Rising policy interest, data availability, and the increasing frequency of extreme events have collectively motivated the expansion of climate econometrics as a recognized and distinct research area. This volume appears at a particularly timely juncture. The contributions assembled here reflect the current momentum in climate econometric research, both in theoretical development and empirical application. Advances in Econometrics publishes original scholarly econometrics papers with the intention of expanding the use of developed and emerging econometric techniques by disseminating ideas on the theory and practice of econometrics throughout the empirical economic business and social science literature.

Econometrics of Climate, Energy, and Green Transition

This textbook for advanced undergraduate and graduate students provides a clear and practical guide to the principles and methods for structuring and solving complex problems that include multiple, often conflicting criteria.

Principles, Methods and Programs

Multi-Criteria Decision-Making

Routledge Revivals

Planning the Mexican Economy (originally published in 1984), based on original research, looks at how the problems induced by oil led development have been and might be faced in the Mexican economy. It uses econometric modelling to chart the relationship between different sectors of the economy.

Alternative Development Strategies

Planning the Mexican Economy

Clear, practical, and rigorous: Proud's Statistics in Economics shows students how to use and apply data and statistics to solve real problems in economics and business. Statistics for Economics is the most applied textbook available bringing theory to life through real-world data and problems, while remaining flexible and accessible for students of all mathematical backgrounds. · Applied and relevant: Every concept is grounded in real-world business and economics examples, helping students see the relevance of statistics from day one. Data analysis exercises, Excel walkthroughs, and dataset-based questions ensure students build practical skills they can use immediately. · Designed for diverse cohorts: With a maths primer and hundreds of multiple-choice questions, the text supports students from all mathematical backgrounds-ideal for mixed-ability groups and inclusive teaching. · Engaging and insightful: Moves beyond dry theory with compelling examples-from using Bayes' theorem to locate missing aircraft to exploring bias in election polling-keeping students interested and encouraging deeper thinking. · End-of-chapter review questions reinforce key concepts and promote critical thinking, while multiple-choice questions embedded throughout each chapter allow students to test their understanding as they learn-encouraging continuous engagement and retention. · Digitally enriched: The digital edition includes integrated video walkthroughs of worked examples, interactive data exercises using real-world datasets, multiple-choice questions, and flashcards-supporting blended and online learning environments. Digital formats and resources This title is available for students and institutions to purchase in a variety of formats: the e-book offers a mobile experience and convenient access along with functionality tools, navigation features and links that offer extra learning support. For more information about e-books, please visit www.oxfordtextbooks.co.uk/ebooks <https: www.oxfordtextbooks.co.uk="" ebooks=""> Teaching resources for adopting lecturers include: PowerPoint slides Test bank Instructor's Manual Maths Primer</https:>

STATISTICS FOR ECONOMICS

Derivatives: Mathematical Foundations for Finance Students is written for students of finance and actuarial science who want to understand derivatives not just as formulas but as ideas that make sense. The goal is to build the mathematical foundations up step by step - starting from the familiar territory of first-year undergraduate probability and statistics and moving all the way to stochastic calculus and the principles of risk-neutral pricing, which form the heart of modern financial mathematics.This text will enable the reader to:¿ understand models of asset price behaviour and apply stochastic calculus ¿ use stochastic simulations in R to investigate processes and price options ¿ price options with the binomial model ¿ derive solutions to the Black-Scholes equation using risk-neutral pricing ¿ price interest-rate derivatives using Black's model, short-rate models and the Heath-Jarrow-Morton (HJM) framework ¿ tackle quantitative finance exam questions.It incorporates a range of learning features to aid student understanding, including boxed examples, end-of-chapter summaries, selected questions from Society of Actuaries (US) Quantitative Finance examinations and further reading suggestions. The book is also supported by a suite of digital learning resources, including PowerPoint slides, multiple choice questions, instructor manual/advice document for lecturers, and a test bank.Derivatives: Mathematical Foundations for Finance Students will appeal to both undergraduate and postgraduate students who wish to understand the principles of stochastic calculus and option pricing.

Mathematical Foundations for Finance Students

Derivatives

Accounting Measurement and Economic Value presents a rigorous foundation for economic value grounded in the representational theory of measurement and accounting practice. Bridging accounting, economics, and the philosophy of science, the book argues that empirical progress in economics is impeded by the lack of a clear and effective method for measuring economic value. It provides a formal measurement system based on observable accounting procedures - focusing on activity costs, prices, and quantities - that enables falsifiable economic hypotheses and replicable empirical testing.Rejecting utility-based and decision theory approaches to the measurement of economic value, the author proposes an alternative framework rooted in effective measurement procedures. These procedures trace the flow of rights and resources in monetary economies and provide the foundation for the additive, ratio-scaled values used in both microeconomic and macroeconomic analysis.The book provides the first comprehensive account of how accounting numbers, when correctly understood, can serve as the empirical backbone for economic models. It is written for researchers in accounting, economics, and related fields interested in the foundations of measurement, empirical validation of theory, and the role of information systems in economic decision-making.

Accounting Measurement And Economic Value

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

A Generalized Linear Models Approach

Count Time Series

A foundational treatment of discrete choice models, with a focus on random utility models Discrete choice models are essential tools for understanding decision-making when individuals must choose among alternatives. They have applications across the social sciences, notably in economics, marketing, and political science. This book offers a foundational treatment of discrete choice models, introducing the logit model and its generalizations, logistic and Poisson regressions, and generalized linear models, and demonstrates their use in analyzing important econometric models. These include international trade gravity, demand estimation, matching with and without transfers, hedonic markets, and dynamic discrete choice. Bridging theoretical clarity and practical applicability, the book is suitable for use in graduate-level coursework and will be an essential resource for researchers and practitioners. • Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models • Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets • A substantial set of exercises and problems at the end of each chapter • Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

SpringerBriefs in Regional Science

This book analyzes regional business cycles in Latin America. The authors explain the nature of regional business cycles and discuss different sources of regional economic fluctuations such as technology changes, natural disasters, or supply and demand shocks. Presenting case studies on Brazil, Chile and Mexico, the authors examine the co-movement of regional business cycles as well as the differing responses of regional economies to external shocks due to regional characteristics such as availability of natural resources, and the degree of integration into national and global markets. This short book appealto students and scholars as well as policy makers interested in regional growth processes in developing countries.

This book analyzes regional business cycles in Latin America. The authors explain the nature of regional business cycles and discuss different sources of regional economic fluctuations such as technology changes, natural disasters, or supply and demand shocks. Presenting case studies on Brazil, Chile and Mexico, the authors examine the co-movement of regional business cycles as well as the differing responses of regional economies to external shocks due to regional characteristics such as availability of natural resources, and the degree of integration into national and global markets. This short book appealto students and scholars as well as policy makers interested in regional growth processes in developing countries.

A Sub-National Synchronization Study

Regional Business Cycles in Latin America

Asymptotics for Fractional Processes

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