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Economics and Finance (R0)

Ednaldo Araquém Silva

U.S. Corporate Profits, 1950-2024

Operating Profit Markups in Leading U.S. Firms

&lt;p&gt;Cost-Based Profits.- Time-Invariant Markup.- Petroleum and Natural Gas Exploration.- Beverages.- Manufacturing.- Pharmaceutica.- Chemicals and Allied Products.- Petroleum Refining.- Machinery and Equipment.- Computer Equipment and Electronic Devices.- Transportation Equipment.- Government Contractors.- Computer Services.- &amp;nbsp;Book Summary.&lt;/p&gt;

This monograph presents a method for resolving the issue of which distribution to assume when estimating the technical efficiency of industries using the stochastic production frontier model. Other studies use methods that rely on specific industry data, but this method identifies and resolves the distribution type by comparing data across many industries. A unique aspect highlighted here is the notion that by considering the distribution of inefficiency as a result of the asymptotic distribution derived from a specific stochastic process of firm productivity, it is possible to discern whether the technical inefficiency arises from some irrational decision making within the firms, indicated by the information on the inefficiency generating mechanism provided by the distribution parameters. This research clearly demonstrates the relationship between the econometric method of the stochastic production frontier model and Leibenstein's theory of X-inefficiency. The method proposed in this book is applied to data from Japanese firms, confirming that the observed variance in productivity within Japanese industries cannot be denied as the result of irrational decision making by firms.

Production Efficiency with the Stochastic Management Model

Financial Forecasting

Professional Practice in Governance and Public Organizations

This Open Access book highlights the importance of administrative microdata sources. Administrative data presents several advantages, including wide coverage, low measurement error and collection costs, and interoperability with surveys.&nbsp;Improved access would benefit many stakeholders: the research community would produce higher-quality and more numerous publications, policymakers and citizens would learn whether policies are effective, firms would benefit from greater market transparency, and trust in public institutions would increase. However, many barriers still exist. This book aims to address these issues.Focusing on the European Union, the book is organized into two parts. The first part analyzes the access regimes in each EU country. It provides data users with information on how to access administrative data and offers data holders best practices for combining access with data security. The second part documents the benefits of administrative data in key policy areas - society, the economy, and the environment - and identifies specific areas of intervention.Administrative data are the foundation for modern policy analysis. Berton and Paruolo’s exciting new book highlights state-of-the art applications of administrative data, offering practical advice on how to use the right data to learn “what works”. It also includes a valuable country-by-country overview of the administrative data in each EU country, curated by a who’s who list of experts.&nbsp; A must-read for anyone looking to learn more about the prospects and potential for administrative data in the EU.David CardCo-winner of the 2021 Nobel Memorial Prize in Economics

This Open Access book highlights the importance of administrative microdata sources. Administrative data presents several advantages, including wide coverage, low measurement error and collection costs, and interoperability with surveys.&nbsp;Improved access would benefit many stakeholders: the research community would produce higher-quality and more numerous publications, policymakers and citizens would learn whether policies are effective, firms would benefit from greater market transparency, and trust in public institutions would increase. However, many barriers still exist. This book aims to address these issues.Focusing on the European Union, the book is organized into two parts. The first part analyzes the access regimes in each EU country. It provides data users with information on how to access administrative data and offers data holders best practices for combining access with data security. The second part documents the benefits of administrative data in key policy areas - society, the economy, and the environment - and identifies specific areas of intervention."Administrative data are the foundation for modern policy analysis. Berton and Paruolo’s exciting new book highlights state-of-the art applications of administrative data, offering practical advice on how to use the right data to learn “what works”. It also includes a valuable country-by-country overview of the administrative data in each EU country, curated by a who’s who list of experts.&nbsp; A must-read for anyone looking to learn more about the prospects and potential for administrative data in the EU."David CardCo-winner of the 2021 Nobel Memorial Prize in Economics

From Administrative Sources to Public Value

Data-Driven Learning in the EU

A Strategic Guide to Evaluating and Implementing Ai, Automation, and Analytics

The Ai-Ready CFO

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>

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

Management for Professionals

This book provides a captivating and data-driven exploration of ESG strategies, examining their driving forces and financial impact on firms and capital markets. While ESG adoption has gained significant momentum, the financial implications of ESG strategies remain a debated topic. This book aims to bridge the gap between corporate ESG strategies and their measurable market outcomes, offering a comprehensive analysis of the drivers that motivate firms to embrace ESG initiatives. By integrating a thorough literature review with rigorous empirical research, it uncovers how ESG initiatives shape corporate decision-making, risk-taking, and market reactions. What sets this book apart is its comprehensive and analytical approach—not only identifying why firms adopt ESG strategies but also assessing their real effects on firm performance, investment behavior, stock returns, and financial risk. By bridging theoretical insights with real-world data, it provides a robust framework for evaluating ESG’s role in shaping corporate resilience and long-term value creation.

This book provides a captivating and data-driven exploration of ESG strategies, examining their driving forces and financial impact on firms and capital markets. While ESG adoption has gained significant momentum, the financial implications of ESG strategies remain a debated topic. This book aims to bridge the gap between corporate ESG strategies and their measurable market outcomes, offering a comprehensive analysis of the drivers that motivate firms to embrace ESG initiatives. By integrating a thorough literature review with rigorous empirical research, it uncovers how ESG initiatives shape corporate decision-making, risk-taking, and market reactions. What sets this book apart is its comprehensive and analytical approach—not only identifying why firms adopt ESG strategies but also assessing their real effects on firm performance, investment behavior, stock returns, and financial risk. By bridging theoretical insights with real-world data, it provides a robust framework for evaluating ESG’s role in shaping corporate resilience and long-term value creation.

Antecedents, Corporate Decision-Making, and Real Effects

ESG Strategies and Financial Markets

Contributions to Finance and Accounting

This book presents a novel analytical framework for examining the role of taxation in corporate finance, grounded in the Brusov–Filatova–Orekhova (BFO) theory and its perpetuity limit—the Modigliani–Miller (MM) theory. The authors investigate the influence of taxation on key financial indicators and investment project performance, incorporating the practical realities of corporate operations, such as the timing and frequency of tax payments and income variability.
 The book formulates evidence-based recommendations for regulatory bodies concerning the structure, timing, and differentiation of profit tax payments, particularly in relation to corporate debt levels and other financial characteristics. It also provides strategic guidance for firms in selecting optimal tax payment methodologies.
 Furthermore, the authors explore the implications of tax burden on dividend policy and identify a range of innovative effects with the potential to inform both regulatory tax policy and managerial decision-making. This work contributes to the advancement of financial theory by integrating taxation into dynamic investment and capital structure models under realistic economic conditions.

This book presents a novel analytical framework for examining the role of taxation in corporate finance, grounded in the Brusov–Filatova–Orekhova (BFO) theory and its perpetuity limit—the Modigliani–Miller (MM) theory. The authors investigate the influence of taxation on key financial indicators and investment project performance, incorporating the practical realities of corporate operations, such as the timing and frequency of tax payments and income variability. 
 The book formulates evidence-based recommendations for regulatory bodies concerning the structure, timing, and differentiation of profit tax payments, particularly in relation to corporate debt levels and other financial characteristics. It also provides strategic guidance for firms in selecting optimal tax payment methodologies.
 
 Furthermore, the authors explore the implications of tax burden on dividend policy and identify a range of innovative effects with the potential to inform both regulatory tax policy and managerial decision-making. This work contributes to the advancement of financial theory by integrating taxation into dynamic investment and capital structure models under realistic economic conditions.

Innovative Approaches in Corporate Finance, Investments, and Dividend Policy

Taxes and Taxation

Dieses Werk zeigt professionelle Wege auf, wie selbst mit kleinsten Projekten – in traditionellen oder digitalen Welten – viel erreicht werden kann und wie aus ersten Schritten im weiteren Verlauf eine erfolgreiche Gründung bzw. ein wirtschaftlich profitables Start-up hervorgehen kann. Das Buch stellt innovative Möglichkeiten des sozialen Engagements vor und zeigt, wie man Erfolg hat, indem man sich in kluger Weise einbringt. Das Buch bietet vielfältigen Rat, Erfolgsgeschichten und Porträts von Menschen, die durch ihre Initiativen wirklich etwas bewirken konnten.
 
 “Gründet Euch!” knüpft authentisch an den aktuellen Zeitgeist des “Sich-engagieren-Wollens” an und bietet fachkundige Unterstützung, um auf professionellem Wege etwas zu bewirken, durch Blogs, Apps, lokale Initiativen und/oder ein Start-up u.v.m.&nbsp;

Dieses Werk zeigt professionelle Wege auf, wie selbst mit kleinsten Projekten – in traditionellen oder digitalen Welten – viel erreicht werden kann und wie aus ersten Schritten im weiteren Verlauf eine erfolgreiche Gründung bzw. ein wirtschaftlich profitables Start-up hervorgehen kann. Das Buch stellt innovative Möglichkeiten des sozialen Engagements vor und zeigt, wie man Erfolg hat, indem man sich in kluger Weise einbringt. Das Buch bietet vielfältigen Rat, Erfolgsgeschichten und Porträts von Menschen, die durch ihre Initiativen wirklich etwas bewirken konnten.
 
 “Gründet Euch!” knüpft authentisch an den aktuellen Zeitgeist des “Sich-engagieren-Wollens” an und bietet fachkundige Unterstützung, um auf professionellem Wege etwas zu bewirken, durch Blogs, Apps, lokale Initiativen und/oder ein Start-up u.v.m.

Vom ersten Engagement zum erfolgreichen Social Business (AT)

Gründet Euch!

Dynamic Modeling and Econometrics in Economics and Finance

Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention. This second volume of the two-part series offers a comprehensive and accessible guide to tackling these challenges and applying advanced econometric techniques to real-world financial and economic time series data.
Designed for students, professionals, and researchers with a solid foundation in statistics, econometrics, and finance, this book bridges the gap between theory and practice. Concepts are introduced progressively, making it suitable for both intermediate and advanced readers. Each chapter is written in clear, approachable language, ensuring that even those with limited prior experience can grasp and apply the material effectively.
Key Topics Include:
<ul>
<li>Fundamentals of Non-Linear Dynamics</li>
<li>Endogeneity in Econometric Models</li>
<li>Asymmetric Pricing</li>
<li>Physics-Inspired Gravity Models in Economics</li>
<li>Artificial Intelligence and Machine Learning for Fraud Analytics</li>
</ul>
With practical examples, source code, and interdisciplinary insights, this volume empowers readers to navigate the complexities of nonlinear econometric modeling and apply cutting-edge techniques to contemporary challenges in finance and trade.

Nonlinear models have become indispensable in modern finance and economics, yet their reliance on numerical root-finding methods introduces layers of complexity that demand rigorous attention. This second volume of the two-part series offers a comprehensive and accessible guide to tackling these challenges and applying advanced econometric techniques to real-world financial and economic time series data.Designed for students, professionals, and researchers with a solid foundation in statistics, econometrics, and finance, this book bridges the gap between theory and practice. Concepts are introduced progressively, making it suitable for both intermediate and advanced readers. Each chapter is written in clear, approachable language, ensuring that even those with limited prior experience can grasp and apply the material effectively.Key Topics Include:<ul><li>Fundamentals of Non-Linear Dynamics</li><li>Endogeneity in Econometric Models</li><li>Asymmetric Pricing</li><li>Physics-Inspired Gravity Models in Economics</li><li>Artificial Intelligence and Machine Learning for Fraud Analytics</li></ul>With practical examples, source code, and interdisciplinary insights, this volume empowers readers to navigate the complexities of nonlinear econometric modeling and apply cutting-edge techniques to contemporary challenges in finance and trade.

Empirical Applications and Source Code

Non-Linearity in Econometric Modeling, Vol. 2

Practice applying your knowledge and be ready to get any small business' books organized When it comes to basic bookkeeping concepts, Bookkeeping Workbook For Dummies, 2nd Edition is your source for hands-on learning. Bookkeeping is essential for any business, and you'll need practice to grasp it. This valuable study guide offers brief explanations and examples, true/false, and multiple-choice quiz questions. Find useful examples that feature U.S. bookkeeping standards you need to know, including taxing laws. Launch your bookkeeping journey with the practical know-how you need to keep solid financial records for any business. Inside: <ul> <li>Review key bookkeeping concepts and get hands-on practice to solidify your knowledge</li> <li>Strengthen your ability to apply textbook financial understanding to real-world situations</li> <li>Internalize what you're learning, so you'll carry bookkeeping knowledge with you wherever you go</li> <li>Supplement your coursework or use as a self-study guide</li> </ul> Anyone who does or plans to do bookkeeping for small business can put their bookkeeping knowledge to the test with this practical Dummies workbook.

Bookkeeping Workbook For Dummies

SpringerBriefs in Economics

This book offers a regression-based analysis of corporate profitability in the United States over the period 1950 to 2024. Drawing on detailed analysis of 71 leading corporations across 11 key industries-from petroleum and natural gas to high-tech and government contracting-this book reveals a striking pattern: operating-profit markups have remained both high and remarkably stable over the past seven decades.
Using a clear and accessible regression-based methodology, the author demonstrates how corporations have consistently maintained their ability to pass through costs, challenging common assumptions about volatility in profit margins.
Written by a seasoned expert for professionals in&nbsp;corporate accounting, corporate law, finance, taxation, and&nbsp;economic policy, this book provides:
A robust empirical framework for analyzing long-term profitability

Industry-specific insights into pricing power and cost pass-through

A valuable resource for understanding corporate behavior across economic cycles






Whether you're advising clients, shaping policy, or conducting research, this book offers essential insights into the enduring dynamics of corporate profitability.

U.S. Corporate Profits, 1950–2024

Lecture Notes in Economics and Mathematical Systems

This textbook provides a comprehensive foundation for developing asset-pricing models with heterogeneous investors. Volume I in a two-volume set, this book covers topics such as stochastic calculus, dynamic programming, representative agent models, and a numerical method (finite difference) for solving them. The book takes a step-by-step approach, carefully show the underlying object of the models and the implementation of the finite difference method and Upwind scheme to solve dynamic programming problems in asset pricing. Where appropriate, chapters include MATLAB code for ease of replication. This book will be of interest to advanced undergraduate and graduate students of finance, economics, mathematics, and statistics.

This textbook provides a comprehensive foundation for developing asset-pricing models with heterogeneous investors. Volume I in a two-volume set, this book covers topics such as stochastic calculus, dynamic programming, representative agent models, and a numerical method (finite difference) for solving them. The book takes a step-by-step approach, carefully show the underlying object of the models and the implementation of the finite difference method and Upwind scheme to solve dynamic programming problems in asset pricing. Where appropriate, chapters include MATLAB code for ease of replication. This book will be of interest to advanced undergraduate and graduate students of finance, economics, mathematics, and statistics.

Foundations

Heterogeneous Agents in Asset Pricing, Vol 1

U.S. Corporate Profits, 1950-2024

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