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Mathematics and Statistics (R0)

Mikulás Luptácik

Klaus Prettner

Mathematical Optimization and Economic Analysis

&lt;p&gt;Part 1. Single-Objective Optimization.- Scarcity and Efficiency.- Kuhn-Tucker Conditions.- Convex Programming.- Linear Programming.- Data Envelopment Analysis.- Geometric Programming.- Part 2. Multiobjective Optimization.- Fundamentals of Multiobjective Optimization.- Multiobjective Linear Programming.- Multiobjective Geometric Programming.- Part 3. Dynamic Optimization.-&amp;nbsp;Dynamic Optimization.- Applications of Dynamic Optimization.&lt;/p&gt;

Evolutionary Economics and Social Complexity Science

This is the first book to present a new approach of institutional design as an evolutionary applied policy based on coherent conceptualization and methodology, and to study the actuality and implications of diversifying real/virtual community currencies. In contrast to a de facto standard theory, an institutional ecosystem can be composed of various institutions that continue to coexist with changing relative frequencies. In this view, diversified monetary institutions with local rules are feasible and realistic. Community currencies are worldwide attempts to redress such problems as financial instability, chronic stagnation, and decline of communities caused by globalization of the economy. Considering those alternative movements as a new type of policy, "evolutionist institutional design", this book clarifies the feasibility and significance of community currencies in the current era of globalization. The book also provides a better understanding than mainstream approaches of such platform institutions as money that determine fundamental means of cognition and action of interacting agents. Money is a symbolically generalized communication medium in the mesodomain that mediates between socioeconomic performance and patterns in the macrodomain and motives and cognitive frameworks in the microdomain. Conventional national systems of money and finance are platform institutions that determine basic replicators for a capitalistic market economy to evolve. In contrast, community currencies conveying both economic and social/cultural values are distinct platform institutions that are expected to endogenously change such basic replicators in outer and inner institutions for agents to a noncapitalistic market economy. These currencies are considered target institutions for "media design" in the framework of evolutionist institutional design.

An Evolutionist Institutional Design Approach

Community Currency

Econometric Society Monographs

Empirical Bayes methods as envisioned by Herbert Robbins are becoming an essential element of the statistical toolkit. In Empirical Bayes: Tools, Rules, and Duals, Roger Koenker and Jiaying Gu offer a unified view of these methods. They stress recent computational developments for nonparametric estimation of mixture models, not only for the traditional Gaussian and Poisson settings, but for a wide range of other applications. Providing numerous illustrations where empirical Bayes methods are attractive, the authors give a detailed discussion of computational methods, enabling readers to apply the methods in new settings.

Some Tools, Rules, and Duals

Empirical Bayes

Platform Supply Chains in the AI Era

Network Design and Planning

Platform Supply Chains 3

A paradigm-shifting textbook that teaches graduate students in economics how to use economic models to interpret data. Offering a new pedagogical paradigm, this textbook delivers a ready-made economics course covering the general concepts that unify different approaches to bringing economic models to data. Jesse Shapiro presents core ideas in quantitative economics as an abstract, cohesive whole and introduces canonical models that can be used across a wide range of applications. This course-in-a-book exposes students to stylized applications of these models that illuminate their foundations as well as recent research articles demonstrating the models’ broad applicability. <ul><li>Provides a coherent, generalized approach to making model-based inferences in empirical economics</li><li>Introduces central concepts and canonical models in quantitative economics</li><li>Features applications of modern research topics</li><li>Suits self-paced learning and classroom use alike</li></ul>

Introduction to Quantitative Economics

Bridging the gap between undergraduate and graduate macroeconomics, this book approaches DSGE models from a unified perspective based on the concept of competitive equilibrium (CE) and the equivalent social planner problem (SPP). Equilibrium conditions derived from a CE are used to motivate the methods that solve the models. A guided focus on Dynare enables students to solve problems while avoiding the typical pitfalls associated with the software. The approach is 'we have a need and here's a tool that solves it' instead of 'here's a tool and let's look for an application.' It is consistent with current practices: define an equilibrium, characterize its solution, find its steady state, approximate the equilibrium conditions, and solve for its policy functions. This book is for the student who wants to follow current macroeconomic research and build on that to gain a competitive edge in creating and solving empirical models with real-world applicability.

A Gentle Introduction to DSGE Models

Macroeconomic Modeling

SpringerBriefs in Operations Management

This book outlines a practical framework for implementing a resilient circular economy principle across ten major industries in a developed country. It focuses on integrating circular thinking into supply chain management and applying digital transformation, blockchain technologies, and Industry 4.0 and 5.0 tools to improve sustainability and productivity.The book introduces a three-platform model that categorizes supply chain elements, aligns technologies with organizational goals, and supports lean and agile manufacturing practices. It also incorporates quantum economics to address uncertainty in economic modeling—an emerging approach that enhances the reliability of circular economy strategies.Expert evaluations are used to score performance matrices across industries, helping prioritize technologies and assess their impact. The book also applies quality engineering methods such as quality function deployment and value engineering to guide decision-making.Readers will gain a clear understanding of how circular supply chain components contribute to a resilient circular economy goal, how emerging technologies support these efforts, and how uncertainty modeling can improve real-world applications. This book would be a useful read for researchers, policymakers, and industry professionals seeking structured methods to support a large-scale resilient circular economy initiative.

Achieving a Resilient Circular Economy Through Emerging Technologies and Uncertainty Calculation

Towards an AI Algorithm for Multiple Objectives in Imperfect Markets

A Framework for Economists with Policy Aspirations

Minimalist Market Design

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

A rigorous, cutting-edge overview of the range of methods used to conduct causal inference in the social sciences. This textbook provides a lucid, rigorous, and cutting-edge overview of the methods used to conduct causal inference in the social sciences, covering all the core techniques and latest advances. Offering a detailed survey of the current state of microeconometric theory, Damian Clarke delves deeply into machine learning applications and presents developments in difference-in-difference methods, instrumental variables, multiple hypothesis testing, and other advanced topics. With a diverse range of examples and exercises offering hands-on experience, Applied Microeconometrics equips graduate students and researchers to apply state-of-the art scholarship to actionable problems. <ul><li>Integrates a rich array of machine learning methods into causal modeling frameworks</li><li>Covers recent advances in difference-in-differences and dynamic research designs, formal discussions of challenges related to inference and hypothesis testing, and heterogeneity analysis</li><li>Features a breadth of real-world examples from recent papers</li><li>Includes coding implementation in Python, R, and Stata</li></ul>

Applied Microeconometrics

National Bureau of Economic Research Conference Report

A comprehensive survey of the evolution of market design over the past three decades. In the mid-1990s, the first Federal Communications Commission spectrum auction and the redesign of the National Residency Matching Program collectively helped to jumpstart the field of market design. Since then, extensive research has improved auction design and broken new conceptual ground in addressing multi-agent matching problems. This volume summarizes key discoveries and advances in market design over the past three decades and explores contemporary challenges--from climate policy and electricity markets to AI-mediated exchanges and hospital resource allocation. Contributors examine how to design efficient, incentive-compatible mechanisms that are robust to shifting conditions and increasing complexity. They consider a wide variety of applications that could benefit from the market design viewpoint, such as environmental markets, school choice, and organ exchange. Together, the chapters illustrate the important interactions between economic theory, computational tools, and institutional insight.

New Directions in Market Design

Mathematical Optimization and Economic Analysis

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