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This book introduces the application of microeconometric methods for modelling various aspects of economic activity for small to large size enterprises, using methods that are based on both time-series and cross-section approaches. The information obtained from using these estimated models can then be used to inform business decisions that improve the efficiency of operations and planning. Basic models used in the modelling of the business (single-equation and multiple-equation systems) are introduced whilst a wide range of economic activity including major aspects of financial management, demand for labour, administrative staff and labour productivity are also explored. Microeconometrics in Business Management: Introduces econometric methods which can be used in the modelling of economic activity and forecasting, to help improve the efficiency of business operations and planning. Describes econometric entities through multiple-equation and single-equation microeconometric models. Explores the process of building and adapting basic microeconometric tools. Presents numerous micromodels based on time-series data and statistical cross-sectional sequences, which can be used in any enterprise. Features numerous real –world applications along with examples drawn from the authors own experience. Is supported by a companion website featuring practice problems and statistical data to aid students to construct and estimate micro models. Features end of chapter exercises with examples present in free software GRETL. This book serves as a valuable resource for students, business management practitioners and researchers in econometric micro-model construction and various decision-making processes.
This book introduces the application of microeconometric methods for modelling various aspects of economic activity for small to large size enterprises, using methods that are based on both time-series and cross-section approaches. The information obtained from using these estimated models can then be used to inform business decisions that improve the efficiency of operations and planning. Basic models used in the modelling of the business (single-equation and multiple-equation systems) are introduced whilst a wide range of economic activity including major aspects of financial management, demand for labour, administrative staff and labour productivity are also explored. Microeconometrics in Business Management: Introduces econometric methods which can be used in the modelling of economic activity and forecasting, to help improve the efficiency of business operations and planning. Describes econometric entities through multiple-equation and single-equation microeconometric models. Explores the process of building and adapting basic microeconometric tools. Presents numerous micromodels based on time-series data and statistical cross-sectional sequences, which can be used in any enterprise. Features numerous real –world applications along with examples drawn from the authors own experience. Is supported by a companion website featuring practice problems and statistical data to aid students to construct and estimate micro models. Features end of chapter exercises with examples present in free software GRETL. This book serves as a valuable resource for students, business management practitioners and researchers in econometric micro-model construction and various decision-making processes.
Developed over a ten year period at the Stanford Business School, this textbook underscores the connections between microeconomics and business. Its full-length, integrated case studies reveal how economic models can yield answers to practical problems.
This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.
A sophisticated yet non-technical introduction to microeconomics for MBA students, now in its third edition.
Focuses on the assumptions underlying the algorithms rather than their statistical properties Presents cutting-edge analysis of factor models and finite mixture models. Uses a hands-on approach to examine the assumptions made by the models and when the models fail to estimate accurately Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems Introduces R programming concepts throughout the book. Includes appendices that discuss many of the concepts introduced in the book, as well as measures of uncertainty in microeconometrics.
A graduate textbook on microeconomics, covering decision theory, game theory, and the foundations of contract theory, with a unique focus on the empirical. This graduate-level text on microeconomics, covering such topics as decision theory, game theory, bargaining theory, contract theory, trade under asymmetric information, and relational contract theory, is unique in its emphasis on the interplay between theory and evidence. It reviews the microeconomic theory of exchange “from the ground up,” aiming to produce a set of models and hypotheses amenable to empirical exploration, with particular focus on models that are useful for the study of contracts, institutions, and organizations. It explores research that extends price theory to the exchange of commodities when markets are incomplete, discussing recent developments in the field. Topics covered include the relationship between theory and evidence; decision theory as it is used in contract theory and institutional design; game theory; axiomatic and strategic bargaining theory; agency theory and the class of models that are considered to constitute contract theory, with discussions of moral hazard and trade with asymmetric information; and the theory of relational contracts. The final chapter offers a nontechnical review that provides a guide to which model is the most appropriate for a particular application. End-of-chapter exercises help students expand their understanding of the material, and an appendix provides brief introduction to optimization theory and the welfare theorem of general equilibrium theory. Students are assumed to be familiar with general equilibrium theory and basic constrained optimization theory.
Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
The Theory of the Firm presents an innovative general analysis of the economics of the firm.