The impact of technical change on employment is investigated in this important new book which offers a critical appraisal of how far current economic analysis and theory can deal with this key policy issue.The Economics of Technology and Employment addresses the impact of technical change on employment from both theoretical and empirical perspectives. After an analytical discussion of theoretical propositions and models put forward by classical and contemporary economists, Dr Vivarelli develops a model to examine the extent to which worker displacement due to technical progress can be offset by compensatory market forces. This model is tested using Italian and US aggregate time-series data. The theoretical discussion and empirical results are combined to demonstrate that the employment impact of labour saving technologies can only be partially counter-balanced by market forces and so economic policy measures could be necessary. This important and innovative volume will be welcomed by economists and policymakers as a major contribution to our theoretical understanding of employment, industrial innovation and technical change.

Takeshi Amemiya has made a significant contribution to econometric theory over the past 30 years. This volume brings together 34 of his key articles and papers on areas such as limited dependent variables, non-linear simultaneous equations models, time series analysis and error components models. Many of the articles reprinted in this volume are indispensable references for researchers in the relevant fields. The specially written preface outlines the influences and motivations behind Professor Amemiya's work. Studies in Econometric Theory presents in a single volume the most significant work of one of the most important influential econometricians of our time.

The Super Bowl is the most watched sporting event in the United States. But what does participating in this event mean for the players, the halftime performers, and the cities who host the games? Is there an economic benefit from being a part of the Super Bowl and if so, how much? This Palgrave Pivot examines the economic consequences for those who participate in the Super Bowl. The book fills in gaps in the literature by examining the benefits and costs of being involved in the game. Previously, the literature has largely ignored the affect the game has had on the careers of the players, particularly the stars of the game. The economic benefit of being the halftime performer has not been considered in the literature at all. While there have been past studies about the economic impact on the cities who host of the game, this book will expand on previous research and update it with new data.

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. In this second edition, Terence Mills expands on the research in the area of trends and cycles over the last (almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.

In a time of changing technology and cultural shifts, it is difficult to measure some aspects of the workforce. Education and the American Workforce brings together a comprehensive collection of employment and education information from federal statistical agencies. The Census Bureau is the leading source of quality data about the nation's people and economy. The Bureau of Labor Statistics (BLS) is the principal federal agency responsible for measuring labor market activity, working conditions, and price changes in the economy. Together, these agencies produce a wealth of information about the American workforce. This book includes information about the jobs that people hold, the occupations that they pursue, the industries where they work, and the education levels that people have attained. In addition to tables, each section also includes relevant figures and highlights of notable data. Some examples of interesting data found inside Education and the American Workforce include: *With no formal educational requirement and a median salary of $22,680, 4.5 million people are employed as retail salespersons, the most of any single occupation. Cashiers and food preparation/serving workers account for another 3.5 million each. There are 2.9 million registered nurses, the most numerous of occupations that require a bachelor's degree. *The biggest numeric decline is expected for Postal Service mail carriers, dropping by about 78,000 in ten years. When combined with other Postal Service occupations-such as clerks, sorters, postmasters, and others-a decline of 140,000 jobs is expected for the Postal Service. *Among the 75 largest counties, Bronx County, NY had the highest number of residents age 25 and over with less than a high school diploma at 29.4 percent while Montgomery County, PA had the lowest percentage at 6.2 percent. *Meanwhile, New York County, NY and Fairfax County, VA had the highest percentage of residents with a bachelor's degree or higher at 59.9 percent followed by Montgomery County, MD at 57.9 percent among the 75 largest counties. Nationally, between 2011 and 2015, 29.8 percent of the population had a bachelor's degree or higher.

This major book presents, for the first time, an authoritative history of developments in macroeconometric modelling since the 1930s. It focuses in particular on the construction of mathematico-statistical models of entire economies, estimated from national accounts and other macroeconomic data. International and comparative in scope, the book contains chapters prepared by specialists from the different countries concerned. This landmark book is indispensable to an understanding of the history and development of large scale econometric models of modern economies.

Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization's operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.

This research collection offers a 34-article tour of recent advances and the current state of 5 important and booming areas of empirical methodology: Bayesian methods; modelling of temporal duration, dependence, and dynamics; network-analytic methodology; text, classification, and big-data analytic methods; methods for nonparametric and design-based causal inference. These prominent articles, written by leading scholars, break new ground and provide definitive statements of the current best practices in those respective areas. Together they describe the cutting-edge profile of modern empirical methodology for applied empirical analysis in political science. This is an essential resource for those studying and researching political methodology.

This conference proceedings volume presents advanced methods in time series estimation models that are applicable various areas of applied economic research such as international economics, macroeconomics, microeconomics, finance economics and agricultural economics. Featuring contributions presented at the 2018 International Conference on Applied Economics (ICOAE) held in Warsaw, Poland, this book presents contemporary research using applied econometric method for analysis as well as country specific studies with potential implications on economic policy. Applied economics is a rapidly growing field of economics that combines economic theory with econometrics to analyse economic problems of the real world usually with economic policy interest. ICOAE is an annual conference started in 2008 with the aim to bring together economists from different fields of applied economic research in order to share methods and ideas. Approximately 150 papers are submitted each year from about 40 countries around the world. The goal of the conference and the enclosed papers is to allow for an exchange of experiences with different applied econometric methods and to promote joint initiatives among well-established economic fields such as finance, agricultural economics, health economics, education economics, international trade theory and management and marketing strategies. Featuring global contributions, this book will be of interest to researchers, academics, professionals and policy makers in the field of applied economics and econometrics.

This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts. The first part, comprising two chapters, is philosophical in nature and deals with the concepts that define the underlying structure of the MCDM paradigm. The second part is the largest part consisting of five chapters, each of which presents the logic of a specific MCDM technique, and demonstrates how it can be used to model a particular decision problem. In the final part, some selected applications of the MCDM techniques to agricultural problems are presented and thus reinforce the development of an understanding of the MCDM paradigm.

The book has been designed for use at different levels: as a textbook for final year undergraduate and postgraduate courses in modelling for decision-making; as a manual for researchers and practising modellers; and, as general reference on the application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily follow the contents of this book.

Stokes discusses--and illustrates with output from actual problems--a number of applied econometric techniques, including OLS specification tests, recursive residual analysis, limited dependent variable models, error component models, and others. His book is clearly written and copiously illustrated with equations, with follow-up analysis to show how models are built and some of their limitations. His B34S DEGREESDTM software is available and allows readers to do further research with a large number of datasets distributed with the program. A necessary resource for applied econometrics researchers in economics, finance, and in health, energy, and labor economics.

This work illustrates the use of model specification and diagnostic tests applied to a variety of econometric modeling techniques. For each technique discussed the basic mathematical models are outlined. A sample problem is discussed and estimated using the B34S DEGREESDTM Data Analysis System. The output of the program is displayed in the text and discussed. Where appropriate, output from the RATS DEGREESDTM software is displayed. Follow-up models are estimated and discussed. The examples selected are taken from a variety of sources and reflect actual applied research. Complete data are given in the text to enable the reader to use these problems with other programs and techniques. It is the author's experience that applied econometric techniques are best learned by running actual problems. Since most users experiment with a limited number of techniques, their experience is limited. This book discusses a broad range of techniques and shows how they are interrelated. DEGREESL DEGREESL The techniques discussed include the following: simple, one-equation OLS and GLS models with continuous variables on the left-hand side, which are tested with recursive residual and BLUS residual techniques. Another class of models includes restrictions on the left-hand side variables. Models studied and illustrated with data include probit, logit, multinomial logit, and ordered probit models. Other techniques discussed and illustrated include two-stage least squares, limited information maximum likelihood, three-stage least squares, iterative three-stage least squares, error component models and Markov probability models, which are illustrated with a model of OPEC production dynamics.

ARIMA and transfer function models are shown to be generalizations of the single-equation model, while VAR and VARMA models are shown to be a time series generalization of three-stage least squares and full information maximum likelihood models. VAR models are viewed in the frequency domain for added insight, and extensive nonlinearity tests are developed and applied. More specialized techniques include state space models, optimal control analysis, nonlinear analysis, and the QR approach to computation. An important feature of the book is the emphasis on nonlinear model building. The Hinich nonlinear testing approach is discussed and integrated into the OLS, times series, and nonlinear estimation procedures. The MARS and PISPLINE methods of analysis are illustrated with models that failed linearity tests when estimated with linear methods. The purpose of the monograph is to illustrate the above techniques, using actual research data. To facilitate the calculations, the B34S DEGREESDTM Data Analysis System was developed. Sample output for all procedures discussed in the text has been provided so that the availability of the B34S DEGREESDTM program is DEGREESInot DEGREESR required in order to benefit from this book. While the book is self-contained, interested readers can obtain the B34S DEGREESDTM Data Analysis program and do further research with the datasets discussed in the book which are supplied with the software.

This publication contains detailed official national accounts data for over 200 countries or areas of the World for the years 2001 to 2013. It is a valuable source of information on the state and structure of economies worldwide. The data for each country or area are presented in separate chapters with uniform table headings and classifications as recommended in the System of National Accounts 1993 (1993 SNA). Each country chapter also contains a write-up on the methodology and data sources which are used to compile the national accounts. A summary of the SNA conceptual framework, classifications, and definitions is also. It also contains statistics on gross domestic product.

This book examines the drivers of inbound medical tourism in Germany. In light of growing international trade of medical services, it provides a quantitative analysis of the determinants of international patients' choice of destination. It develops coherent definitions of medical tourism and medical travel, and presents multiple unique data sets to identify inbound medical travelers in Germany. Further, it introduces an empirical modeling framework for investigating and quantifying the drivers and effects of a patient's choice of destination at the national, hospital and individual level. A particular focus of the analysis lies on cultural proximity and personal networks as key channels to convey trust in a destination's service. In addition, real consideration sets of international patients are presented. The findings presented are embedded in a global context and will help inform future empirical investigations and modeling.

Appropriate for one or two term courses in introductory Business Statistics. With Statistics for Management, Levin and Rubin have provided a non-intimidating business statistics textbook that students can easily read and understand. Like its predecessors, the Seventh Edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the text an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how textbook principles work in professional practice.

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method.
*The first book to present a unified view of filtering techniques
*Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series
*Provides easy access to a wide spectrum of parametric and non-parametric filtering methods

Welcome to Economics Express - a series of short books to help you: * take exams with confidence * prepare and deliver successful assignments * understand quickly * revise and prepare effectively. As you embark on your economic journey, this series of books will be your helpful companion. They are not meant to replace your lectures, textbooks, seminars or any other sources suggested by your lecturers. Rather, as you come to an exam or an assignment, they will help you to revise and prepare effectively. Whatever form your assessment might take, each book in the series will help you to build up the skills and knowledge you will need to maximise your performance. Each topic-based chapter will outline the key information and analysis, provide sample questions with responses, and give you the assessment advice and exam tips you will need to produce effective assessments based on these core topics. A companion website provides supporting resources for self testing, assessment, exam practice and answers to questions in the book. Ian Jacques was formerly a senior lecturer at Coventry University. He has considerable experience teaching mathematical methods to students studying economics, business and accounting.

In the last half of the 20th Century, the world economy has benefited from a globalization process driven by the enlightened confluence of technology, innovation, trade, and foreign direct investment. This book broadens our understanding of that process. Opening with a review of current global economic metrics and the significant differences between advanced and developing nations, the book goes on to discuss the globalization paradigm and the forces driving it. Discussing the importance of new ideas and new technology in continued economic growth, the volume shows how the protection of intellectual property encourages innovation. Also covering the evolution of international trade, the book reviews trade distortions from both external and internal sources, comparing trade on a multilateral, non-discriminatory basis with alternative trade practices, such as free trade and custom unions. The work also reviews the origins and functions of the new World Trade Organization. Describing the rapidly growing practice of foreign direct investment, the book shows how FDI is closely linked to international trade and concludes with a review of the important function FDI can play in the bundling and delivery of the resources required for accelerated economic development of the emerging world.

A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time. * Helps to answer the question: which risk measure is best for a given problem? * Finds new relations between existing classes of risk measures * Describes applications in finance and extends them where possible * Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field * Applications include optimal portfolio choice, risk theory, and numerical methods in finance * Topics requiring more mathematical rigor and detail are included in technical appendices to chapters

These proceedings highlight research on the latest trends and methods in experimental and behavioral economics. Featuring contributions presented at the 2017 Computational Methods in Experimental Economics (CMEE) conference, which was held in Lublin, Poland, it merges findings from various domains to present deep insights into topics such as game theory, decision theory, cognitive neuroscience and artificial intelligence. The fields of experimental economics and behavioral economics are rapidly evolving. Modern applications of experimental economics require the integration of know-how from disciplines including economics, computer science, psychology and neuroscience. The use of computer technology enhances researchers' ability to generate and analyze large amounts of data, allowing them to use non-standard methods of data logging for experiments such as cognitive neuronal methods. Experiments are currently being conducted with software that, on the one hand, provides interaction with the people involved in experiments, and on the other helps to accurately record their responses. The goal of the CMEE conference and the papers presented here is to provide the scientific community with essential research on and applications of computer methods in experimental economics. Combining theories, methods and regional case studies, the book offers a valuable resource for all researchers, scholars and policymakers in the areas of experimental and behavioral economics.

The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in general. Both statistical and econometric methods, and especially artificial intelligence methods, are used in the case studies. The publication presents both traditional and innovative methods on the theoretical level, always accompanied by a case study, i.e. their specific use in practice. Furthermore, a comprehensive comparative analysis of the individual methods is provided. The book is intended for readers from the ranks of academic staff, students of universities of economics, but also the scientists and practitioners dealing with the time series prediction. From the point of view of practical application, it could provide useful information for speculators and traders on financial markets, especially the commodity markets.

The Economics and Econometrics of the Energy-Growth Nexus recognizes that research in the energy-growth nexus field is heterogeneous and controversial. To make studies in the field as comparable as possible, chapters cover aggregate energy and disaggregate energy consumption and single country and multiple country analysis. As a foundational resource that helps researchers answer fundamental questions about their energy-growth projects, it combines theory and practice to classify and summarize the literature and explain the econometrics of the energy-growth nexus. The book provides order and guidance, enabling researchers to feel confident that they are adhering to widely accepted assumptions and procedures.

This publication shows detailed national accounts estimates for over 200 countries and areas for the reporting years 2008 to 2019. National data for each country and area are presented in separate chapters using uniform table headings and classifications recommended in the United Nations System of National Accounts (SNA). A summary of the conceptual framework of the SNA and definitions of important terms are also included in this publication. Other statistical information covered includes gross domestic product, national income, savings, private and government consumption, and transactions of institutional sector