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Personnel Economics in Practice, 3rd Edition by Edward Lazear and Michael Gibbs gives readers a rigorous framework for understanding organizational design and the management of employees. Economics has proven to be a powerful approach in the changing study of organizations and human resources by adding rigor and structure and clarifying many important issues. Not only will readers learn and apply ideas from microeconomics, they will also learn principles that will be valuable in their future careers.
The vast majority of economics majors enter the world of work directly after graduation. Unique among the subfields of economics, only personnel economics looks inside the workplace to apply simple economic theory and precise, transparent empirical research to the central issues of employeeselection, motivation and compensation. Students love this subject because it applies basic microeconomic tools to their working lives in a concrete and useful way. Peter Kuhn's conversational and up-to-date treatment of experiments and research about employment issues in Personnel Economics -incorporating the latest findings from behavioral economic research - provides an enormously interesting, instructive, and much needed textbook on these topics.Personnel Economics functions equally well as a stand-alone personnel textbook, or as supplementary material for courses in labor economics, behavioral economics, experimental economics or game theory. Although the book uses some simple economics tools, the author keeps the technical aspects to theminimum level consistent with understanding the key ideas. Aside from thinking graphically about maximizing utility or profits in the presence of a budget set (all of which are all introduced in the book), the only math a student needs is to find the maximum of a function of a single variable.Calculus is offered as an option, but there are other, easy ways to solve the same problems. All of the mathematics are administered with plenty of hand-holding, and optional problem sets - many of which use spreadsheets to provide intuition for the main results - are available to help cement theintuition. On the empirical side, the book includes an intuitive introduction to the two work-horses of empirical research on personnel issues: designing experiments and using regression to study naturally-occurring data.
Table of Contents 1 Personnel economics and non-competitive labour markets 1 2 The optimal skill ratio 11 3 The hours-employment trade-off 27 4 Temporary or permanent? 45 5 Managing adverse selection in recruiting 62 6 Optimal compensation schemes : foundation 82 7 Pay for performance with wage constraints 107 8 Relative compensation and efficiency wage 132 9 Training and human capital investment 152 10 Training investment in imperfect labour markets 171 11 Job destruction 187 12 Further issues in employment protection legislation 202 13 Teams of group incentives 218 App. A Labour demand at the firm level 232 App. B Constrained optimization 238.
This text provides an introduction to personnel economics, showing how economists can make specific predictions and prescriptions for personnel issues that arise in business on a daily basis. The author focuses on compensation and its relation to worker motivation, selection and teamwork.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
(E-book available via MyiLibrary) In even the most market-oriented economies, most economic transactions occur not in markets but inside managed organizations, particularly business firms. Organizational economics seeks to understand the nature and workings of such organizations and their impact on economic performance. The Handbook of Organizational Economics surveys the major theories, evidence, and methods used in the field. It displays the breadth of topics in organizational economics, including the roles of individuals and groups in organizations, organizational structures and processes, the boundaries of the firm, contracts between and within firms, and more.
This book examines personnel economics within the context of the professional sport industry. Sport is an effective industry in which to empirically test theories of personnel economics, primarily because the employer-employee relationship in sport is much more visible and transparent than in almost any other industry. Researchers benefit from having data on a host of variables pertaining to individual employees (i.e. players), such as their age, race, national origin, and experience. Researchers also have data on each employee's performance, on their salary, and on who their co-workers (teammates) and managers (coaches) are. The chapters are organized around the core functional areas of personnel economics and cover all aspects of the employment relationship in sport - from recruiting and selection, to pay and performance, to work team design. Each chapter contains a thorough literature review that provides the reader with a sense of the breadth and depth of the work being done in the area, and with a sense as to how the literature can move forward, both in a sport and non-sport context. The book is suitable for an advanced undergraduate course right through to a PhD-level field-course in both management and economics. Academic researchers in the fields of sports economics, personnel economics, human resource management, strategic management and sport management will also find the book of interest. Contributors include: D. Berri, C. Deutscher, B. Frick, L.H. Kahane, N. Longley, J.G. Maxcy, J. Prinz, R. Simmons, D. Weimar
A guide to the continually evolving field of labour economics.
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
This volume honours the contributions Claudia Goldin has made to scholarship and teaching in economic history and labour economics. The chapters address some closely integrated issues: the role of human capital in the long-term development of the American economy, trends in fertility and marriage, and women's participation in economic change.