Market Interrelationships and Applied Demand Analysis


Book Description

This textbook addresses the core issues facing economists concerning price determination in commodity markets, especially food and agricultural commodities. This book hones in on the conceptual basis of the various relationships, with special emphasis on market interrelationships, both horizontally and vertically. This book covers key concepts such as consumer demand theory; quality, heterogeneous goods, and cross section demand; derived demand, marketing margins, and relationship between output and raw material prices; retail-to-farm demand linkages, imperfect competition, and short-run price determination; dynamic consumer demand; and dynamic models of the firm. What makes this textbook of particular use to students is its focus on bridging the gap between theory and empirical analysis. Going from theory to empirics requires that we have data—time series or cross section—that match the theoretical constructs. Often the data match is not perfect, either by definition or how the data are computed. In addition to problems of matching data with theoretical constructs, students and researchers need to know how to specify, estimate, and interpret results within the context of imperfect and often incomplete data. This textbook uses several data sets to illustrate how one might address problems in real-world settings. Furthermore, with exercises at the end of each chapter, students are able to test themselves on their ability to bring theory to life.




Market Interrelationships and Applied Demand Analysis


Book Description

This textbook addresses the core issues facing economists concerning price determination in commodity markets, especially food and agricultural commodities. This book hones in on the conceptual basis of the various relationships, with special emphasis on market interrelationships, both horizontally and vertically. This book covers key concepts such as consumer demand theory; quality, heterogeneous goods, and cross section demand; derived demand, marketing margins, and relationship between output and raw material prices; retail-to-farm demand linkages, imperfect competition, and short-run price determination; dynamic consumer demand; and dynamic models of the firm. What makes this textbook of particular use to students is its focus on bridging the gap between theory and empirical analysis. Going from theory to empirics requires that we have data—time series or cross section—that match the theoretical constructs. Often the data match is not perfect, either by definition or how the data are computed. In addition to problems of matching data with theoretical constructs, students and researchers need to know how to specify, estimate, and interpret results within the context of imperfect and often incomplete data. This textbook uses several data sets to illustrate how one might address problems in real-world settings. Furthermore, with exercises at the end of each chapter, students are able to test themselves on their ability to bring theory to life.




Applied Time Series Analysis and Innovative Computing


Book Description

Applied Time Series Analysis and Innovative Computing contains the applied time series analysis and innovative computing paradigms, with frontier application studies for the time series problems based on the recent works at the Oxford University Computing Laboratory, University of Oxford, the University of Hong Kong, and the Chinese University of Hong Kong. The monograph was drafted when the author was a post-doctoral fellow in Harvard School of Engineering and Applied Sciences, Harvard University. It provides a systematic introduction to the use of innovative computing paradigms as an investigative tool for applications in time series analysis. Applied Time Series Analysis and Innovative Computing offers the state of art of tremendous advances in applied time series analysis and innovative computing paradigms and also serves as an excellent reference work for researchers and graduate students working on applied time series analysis and innovative computing paradigms.




Applied Econometrics with SAS


Book Description

Using Applied Econometrics with SAS: Modeling Demand, Supply, and Risk, you will quickly master SAS applications for implementing and estimating standard models in the field of econometrics. This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics--demand, supply, and risk--a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques, collectively covering the following: Double-log demand systems Linear expenditure systems Almost ideal demand systems Rotterdam models Random parameters logit demand models Frequency-severity models Compound distribution models Cobb-Douglas production functions Translogarithmic cost functions Generalized Leontief cost functions Density estimation techniques Copula models SAS procedures that facilitate estimation of demand, supply, and risk models include the following, among others: PROC MODEL PROC COPULA PROC SEVERITY PROC KDE PROC LOGISTIC PROC HPCDM PROC IML PROC REG PROC COUNTREG PROC QLIM An empirical example, SAS programming code, and a complete data set accompany each econometric model, empowering you to practice these techniques while reading. Examples are drawn from both major scholarly studies and business applications so that professors, graduate students, government economic researchers, agricultural analysts, actuaries, and underwriters, among others, will immediately benefit.







Mastering Statistical Analysis with Excel


Book Description

In today’s data-driven world, the ability to analyze and interpret data has become an essential skill for individuals and organizations alike. Statistical analysis, which involves using mathematical methods to analyze and draw conclusions from data, is one of the most powerful tools available for this purpose. While statistical analysis can be performed using various software programs, Microsoft Excel remains one of the most widely used tools for data analysis. Its user-friendly interface, versatile features, and widespread availability make it a popular choice for data analysis, especially for those who are new to statistical analysis. This book, “Mastering Statistical Analysis Using Excel,” is designed to provide readers with a comprehensive guide to using Excel for statistical analysis. Whether you are a beginner or an experienced user of Excel, this book will help you master the fundamentals of statistical analysis and learn how to use Excel to perform a wide range of statistical analyses. The book is organized into chapters that cover different statistical techniques, starting with basic descriptive statistics and progressing to more advanced techniques such as hypothesis testing, regression analysis, and ANOVA. Each chapter includes clear explanations of the concepts, step-by-step instructions for performing the analysis in Excel, and examples to illustrate how to apply the techniques to real-world data. Throughout the book, we focus on practical applications of statistical analysis, with a particular emphasis on using Excel to solve real-world problems. We also include tips and tricks for optimizing your use of Excel, including keyboard shortcuts, Excel functions, and add-ins that can help streamline your analysis. We believe that this book will be a valuable resource for anyone looking to improve their skills in statistical analysis using Excel. Whether you are a student, a business professional, or a researcher, the techniques and tools covered in this book will help you gain valuable insights from your data and make informed decisions based on your findings.




Labor Markets and Employment Relationships


Book Description

This innovative text grounds the economic analysis of labor markets and employment relationships in a unified theoretical treatment of labor exchange conditions. In addition to providing thorough coverage of standard topics including labor supply and demand, human capital theory, and compensating wage differentials, the text draws on game theory and the economics of information to study the implications of key departures from perfectly competitive labor market conditions. Analytical results are consistently applied to contemporary policy issues and empirical debates. Provides a coherent theoretical framework for the analysis of labor market phenomena Features graphical in-chapter analysis supplemented by technical material in appendices Incorporates numerous end-of-chapter questions that engage the analysis and anticipate subsequent results Includes innovative chapters on employee compensation methods, market segmentation, income inequality and labor market dynamics Balances theoretical, empirical and policy analysis




Economics of food processing in the United States


Book Description

Economics of Food Processing in the United States aims to provide an economic overview of the food processing industries in the United States; to explore the firm-level implications of social, economic, technological, and institutional forces for selected food processing industries; and to uncover some of the implications for consumers, raw product producers, and the national economy of the major trends observed in food industries. The book begins by evaluating the major forces shaping demand, supply, prices, and trade in processed foods. It then considers major trends in technical processes; major forces in marketing, distribution, and structure; and major trends in regulation. The next few chapters explore these trends for five specific food processing industries, which represent major types of products processed: fruits and vegetables, meat, milk, grain and soybeans, and wine. After the specific industries have been examined, the final two chapters treat these industries in the context of the national and international economy. Students preparing for careers, researchers, and industry participants who study these firms and industries and the various approaches to solving their economic and management problems will benefit from the information in this volume and from its approach to presenting the dynamics of the food processing industries.




Federal Register


Book Description




Handbook of Research on the Empirical Aspects of Strategic Trade Negotiations and Management


Book Description

International trade is a key dimension of the world economy, it is a critical factor in raising living standards, increasing employment, and providing a larger variety of goods to consumers around the world. Despite the strong focus that international trade research has received in theoretical terms, the empirical aspects of trade are less clear and justify further research. In this context, it is essential for studies to focus on shedding light on the most important methods used to evaluate the multiple dimensions of trade within this international context. Trade has a myriad of direct and indirect effects, therefore touching several fields of research, including economics, management, finance, international relations, political science, and sociology, which makes it essential to explore. The Handbook of Research on the Empirical Aspects of Strategic Trade Negotiations and Management provides a systematic overview of the latest trends in the empirical analysis of trade from international perspectives. It provides a survey on the methods used to evaluate a specific topic in international trade, enhance knowledge about the multiple facets of international trade around the world, and grant in-depth surveys of previous empirical findings on specific topics in international trade. Important topics covered within this book include trade diversification, regional centrality, ethical pricing, globalization, cultural impacts, and open economies. This book is a valuable reference tool for government officials, policy makers, managers, executives, economists, practitioners, stakeholders, researchers, academicians, and students.