Extensive code examples in R, Stata, and Python Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions An easy-to-read conversational tone Up-to-date coverage of methods with fast-moving literatures like difference-in-differences

In businesses and organizations, understanding the social reality of individuals, groups, and cultures allows for in-depth understanding and rich analysis of multiple research areas to improve practices. Qualitative research provides important insight into the interactions of the workplace. Qualitative Techniques for Workplace Data Analysis is an essential reference source that discusses the qualitative methods used to analyze workplace data, as well as what measures should be adopted to ensure the credibility and dependability of qualitative findings in the workplace. Featuring research on topics such as collection methods, content analysis, and sampling, this book is ideally designed for academicians, development practitioners, business managers, and analytic professionals seeking coverage on quality measurement techniques in the occupational settings of emerging markets.

Conventional methods of financial modeling are often overly exact, to the point that their purpose--to aid in financial decision making--is easily lost. Tarrazo's approach, the use of approximation, gives professionals in finance, economics, and portfolio management a sound and sophisticated way to improve their decision making, particularly in such tasks as economic prediction, financial planning, and portfolio management. Tarrazo reviews how to build models, especially those with simultaneous equation systems, then provides a simple way to use approximate equation systems to solve them. Down to earth, readable, and meticulously explained throughout, the book is not only an important tool in practical problem solving situations, but it also provides valuable methods and guidance for upper level students and their instructors.

Among the book's important contributions is its chapter on portfolio optimization. Tarrazo helps clarify the theory and application of modern portfolio theory, especially in regard to its implementation with commonly available information management tools (such as EXCEL). He also provides innovative ways to optimize portfolios under realistic conditions and a method to obtain optimal weights in interval form that does not rely on probability; instead, it relies on the mathematical quality of the matrix in the optimization. Another chapter shows that approximate equations are a general-purpose optimization tool, one that subsumes all other known optimization tools such as classical and mathematical programming. Tarrazo closes with an unusually full bibliography, containing more than 200 references spanning several areas of analysis and various disciplines.

The remarkable evolution of econophysics research has brought the deep synthesis of ideas derived from economics and physicsto subjects as diverse as education, banking, finance, and the administration of large institutions. The original papers in this collection present a broad summary of these advances, written by interdisciplinary specialists. Included are studies on subjects in the development of econophysics; on the perspectives offered by econophysics on large problems in economics and finance, including the 2008-9 financial crisis; and on higher education and group decision making. The introductions and insights they provide will benefit everyone interested in applications of this new transdisciplinary science.
Ten papers present an updated version of the origins, issues, and applications of econophysics Economics and finance chapters consider lessons learned from the 2008-9 financial crisis Sociophysics chapters propose new thinking on educational reforms and group decision making"

This book includes discussions related to solutions of such tasks as: probabilistic description of the investment function; recovering the income function from GDP estimates; development of models for the economic cycles; selecting the time interval of pseudo-stationarity of cycles; estimating characteristics/parameters of cycle models; analysis of accuracy of model factors. All of the above constitute the general principles of a theory explaining the phenomenon of economic cycles and provide mathematical tools for their quantitative description. The introduced theory is applicable to macroeconomic analyses as well as econometric estimations of economic cycles.

Nonlinear Models, Labour Markets and Exchange offers a number of broad introductory surveys in the areas of nonlinear modelling, labour economics and the economic analysis of exchange. This collection of articles consists largely of recently published refereed papers. The early chapters provide an introduction to the analysis of 'chaos and strange attractors' and the use of the very flexible generalised exponential family of frequency distributions in analysing both time series and cross-sectional distributions. The volume then provides syntheses of the theories of internal labour markets, trade union bargaining, and population ageing and its implications. It goes on to survey a range of topics in the broad area of the theory of exchange, which is central to the neoclassical economic model. Finally, the book provides some advice for students who are about to start their first piece of research. It ends with a unique survey of the history of economic analysis. Providing introductory material and syntheses of a wide range of topics, Nonlinear Models, Labour Markets and Exchange will be welcomed by economics academics and researchers interested in labour economics and econometrics.

Patterns of Economic Change by State and Area: Income, Employment, and Gross Domestic Product is a special edition of Business Statistics of the United States. It presents data on personal income, employment, and gross domestic product for the United States as a whole, and by region, state, and metropolitan statistical area (MSA). Data on personal income and employment extends back to 1960 for the states and regions and to 1970 for the MSAs. Patterns of Economic Change complements other Bernan Press titles such as the State and Metropolitan Area Data Book and County and City Extra. In contrast to their predominantly current and detailed cross-section data on states and metropolitan areas, this book contributes historical time-series measurements of key aggregates that show how the economies of regions, states, and metropolitan areas have responded over time to cyclical currents and long-term trends. Statistics at the state level provide a framework for analyzing current economic conditions in each state and can serve as a basis for decision making. For example: Federal government agencies use the statistics as a basis for allocating funds and determining matching grants to states. The statistics are also used in forecasting models to project energy and water use. State governments use the statistics to project tax revenues and the need for public services. Academic regional economists use the statistics for applied research. Businesses, trade associations, and labor organizations use the statistics for market research.

World Statistics on Mining and Utilities 2020 provides a unique biennial overview of the role of mining and utility activities in the world economy. This extensive resource from UNIDO provides detailed time series data on the level, structure and growth of international mining and utility activities by country and sector. Country level data is clearly presented on the number of establishments, employment and output of activities such as coal, iron ore and crude petroleum mining as well as the production and supply of electricity, natural gas and water.This unique and comprehensive source of information meets the growing demand of data users who require detailed and reliable statistical information on the primary industry and energy producing sectors. The publication provides internationally comparable data for economic researchers, development strategists and business communities who influence the policy of industrial development and its environmental sustainability.

The Dynamics of Industrial Collaboration revisits and reformulates issues previously raised by inter-firm collaboration. The latest research in collaboration, processes and evaluation of cooperation, and industrial and research networks, is presented by way of both empirical and theoretical studies. The authors use several theoretical perspectives to explain inter-firm and inter-institutional collaboration: the theory of transaction costs and contracts, evolutionary theory, and the resource-based view. The book illustrates that none of these approaches are dominant. The issue of collaboration is raised in various contexts such as the new economics, biotechnology, and the motor industry. It will be of special interest to industrial economists and scholars of evolutionary economics.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline. Key Features: A concise overview of spatial statistics theory and methods, looking at parallel developments in geostatistics and spatial econometrics, highlighting the eclipsing of centography and point pattern analysis by geostatistics and spatial autoregression, and the emergence of local analysis Contemporary descriptions of popular geospatial random variables, emphasizing one- and two-parameter spatial autoregression specifications, and Moran eigenvector spatial filtering coupled with a broad coverage of statistical estimation techniques A detailed articulation of a spatial statistical workflow conceptualization The helpful insights from empirical applications of spatial statistics in agronomy, criminology, demography, economics, epidemiology, geography, remotely sensed data, urban studies, and zoology/botany, will make this book a useful tool for upper-level students in these disciplines.

Race and Employment in America: 2013, First Edition This Bernan Press first edition contains a convenient selection of information from the Census Bureau s Equal Employment Opportunity (EEO) tabulation. Based on the American Community Survey, the EEO tabulation highlights the diversity of the labor force and serves as the primary external benchmark for comparing the race, ethnicity, and sex composition of an organization's internal workforce, and the analogous external labor market, within a specified geography and job category. Essential for any economic development official, EEO specialist, regional planner, urban researcher, or college student, Race and Employment in America answers questions about the direction of the workforce in America by race and the professions that America s races are choosing. Occupations are displayed by individual states and metropolitan areas. Race and Employment in America is one of the most comprehensive printed publications on the civilian labor force by race. Researchers, college students, and data users can easily see the trends of the job market that are affecting the nation today. This edition includes: A complete listing of detailed occupation data for the nation, by race, sex, and Hispanic origin Listings of job categories by race, sex, and Hispanic origin for all states and metropolitan areas Highlights of occupational employment by race and metropolitan area, covering the years 2006 through 2010 Detailed list of the EEO tabulation s occupations, including job descriptions and SOC occupation codes Occupation profiles for each race and Hispanic origin group, showing fifteen occupation groups ranked by the number of workers and the ten most selected detailed occupations of each sex, race, and Hispanic origin group figures showing visual images of the civilian labor force, by race Educational attainment data by race, sex, Hispanic origin, and selected age groups Educational attainment level by race, sex, and Hispanic origin for detailed occupations Race and Employment in America is a valuable addition for all academic and public libraries. Race and Employment in America: 2013 is great companion to Employment, Hours, and Earnings, and the Occupational Outlook Handbook available from Bernan Press. Other Bernan research and reference books include: County and City Extra: Annual Metro, City, and County Data Book The Who, What, and Where of America: Understanding the American Community Survey Places, Towns, and Townships"

This clearly written volume provides an accessible examination of the nature of disequilibrium models. Srivastava and Rao contend that existing software packages can be easily used to implement some of the relatively simple methods. This study furnishes a substantial grounding in the economics and econometrics of the disequilibrium models by reviewing the Walrasian general equilibrium theory and by comparing the two genuine alternative frameworks for analyzing economic phenomena. Srivastava and Rao demonstrate that while both frameworks share a common set of basic assumptions about the behavior of the economic decision making units, they differ in their assumptions about the ability of the markets to attain equilibrium within a single trading period and whether trading can take place out of equilibrium. The first two chapters provide background, divide the existing methods of estimation of disequilibrium models into two categories, and explain the estimation methods for the basic model that belongs to the first category. The next three chapters explain the estimation methods for the directional, quantitative, and generalized stochastic models of the second category. Various methods for testing and evaluating equilibrium versus disequilibrium hypotheses are investigated in chapter six. Chapter seven examines the assumptions on which the models are formulated and discusses some alternative specifications of the disequilibrium models. The final chapters provide analyses of the economics and econometrics of the multi-market models and illustrate how some simple estimation methods can be used to estimate the disequilibrium formulations of the U. S. labor market. This is an important volume that will aid in the achievement of methodological consistency between analytical philosophy and the estimation methods in the applied work on disequilibrium economics.

Debates about tax policy arise every year in Washington, and legislative changes occur almost as often. In just the past decade, corporate tax burdens were dramatically reduced and then subsequently increased. But who really bears the burden of taxation? Finding a satisfactory way to address this question remains one of the biggest challenges for economists. While much research has explored this issue using annual data on household incomes and expenditures, this book considers the multiple effects of taxes on individuals over their entire lifetimes.

Since annual incomes typically vary from year to year, and change systematically over the course of a lifetime, annual income is not necessarily a good indicator of a person's relative well-being. Instead, Dianne Rogers and Don Fullerton categorize individuals into lifetime income groups, and re-estimate the pattern of earnings over the lifetime of each group. They utilize a general equilibrium model that encompasses household demands, work effort, and savings, and they calculate the distribution of each current tax. Because their model includes all major U.S. federal, state, and local taxes, it can be used to simulate the effects of changes in any of those taxes on investment, productivity, resource allocation, and the distribution of burdens.

Don Fullerton is professor of economics at the University of Virginia and visiting professor of economics and public policy at Carnegie Mellon, School of Urban and Public Affairs. He served as Deputy Assistant Secretary of the Treasury for Tax Analysis from 1985 to 1987. Diane Lim Rogers is assistant professor of economics at Pennsylvania State University.

This book offers a series of statistical tests to determine if the "crowd out" problem, known to hinder the effectiveness of Keynesian economic stimulus programs, can be overcome by monetary programs. It concludes there are programs that can do this, specifically "accommodative monetary policy." They were not used to any great extent prior to the Quantitative Easing program in 2008, causing the failure of many fiscal stimulus programs through no fault of their own. The book includes exhaustive statistical tests to prove this point. There is also a policy analysis section of the book. It examines how effectively the Federal Reserve's anti-crowd out programs have actually worked, to the extent they were undertaken at all. It finds statistical evidence that using commercial and savings banks instead of investment banks when implementing accommodating monetary policy would have markedly improved their effectiveness. This volume, with its companion volume Why Fiscal Stimulus Programs Fail, Volume 2: Statistical Tests Comparing Monetary Policy to Growth, provides 1000 separate statistical tests on the US economy to prove these assertions.

This volume of Research on Economic Inequality contains research on how we measure poverty, inequality and welfare and how these measurements contribute towards policies for social mobility. The volume contains eleven papers, some of which focus on the uneven impact of the Covid-19 pandemic on poverty and welfare. Opening with debates on theoretical issues that lie at the forefront of the measurement of inequality and poverty literature, the first two chapters go on to propose new methods for measuring wellbeing and inequality in multidimensional categorical environments, and for measuring pro-poor growth in a Bayesian setting. The following three papers present theoretical innovations for measuring poverty and inequality, namely, in estimating the dynamic probability of being poor using a Bayesian approach, and when presented with ordinal variables. The next three chapters are contributions on empirical methods in the measurement of poverty, inclusive economic growth and mobility, with a focus on India, Israel and a unique longitudinal dataset for Chile. The volume concludes with three chapters exploring the impact of the Covid-19 pandemic as an economic shock on income and wealth poverty in EU countries and in an Argentinian city slum.

Organizations can use the valuable tool of data envelopment analysis (DEA) to make informed decisions on developing successful strategies, setting specific goals, and identifying underperforming activities to improve the output or outcome of performance measurement. Strategic Performance Management and Measurement Using Data Envelopment Analysis highlights the advantages of using DEA as a tool to improve business performance and identify sources of inefficiency in public and private organizations. These recently developed theories and applications of DEA will be useful for policymakers, managers, and practitioners in the areas of sustainable development of our society including environment, agriculture, finance, and higher education sectors.

This study quantifies the relationships between the economies of the Unites States and Japan on an industrially disaggregated basis. It links two large-scale econometric models of the U.S. and Japan in the framework of the world model system (Project LINK). These models are useful not only for forecasts and aggregate policy studies, but also for detailed investigation of industrial changes and trade policy on sectoral output employment, trade balance, and inflation in both countries. The interactions with other parts of the world are also taken into account. Applications to policy changes and exchange rate variations illustrate the potential of the model system and provide a powerful insight into the operation of two closely integrated economies. A pioneering effort to link quantitatively the relationships between the economies of the United States and Japan, this volume will be of interest to economists and policymakers here and abroad.

The success of any business relies heavily on the evaluation and improvement on current strategies and processes. Such progress can be facilitated by implementing more effective decision-making systems. Tools and Techniques for Economic Decision Analysis provides a thorough overview of decision models and methodologies in the context of business economics. Highlighting a variety of relevant issues on finance, economic policy, and firms and networks, this book is an ideal reference source for managers, professionals, students, and academics interested in emerging developments for decision analysis.

The relevance of applied economic and social analysis stands or falls with the strength of the analytical tools, on the one hand, and the appropriateness of the underlying data framework, on the other hand. Whereas virtually all economic and sociological research focuses on the analytical tools, this book deals with the design of an appropriate data framework. In many countries, it is not so much a lack of data per se that is the problem. Official statistics often comprise a wealth of information, laid down in many different publications. The main difficulty then relates to the lack of integration of these statistics, so that all kinds of events that are interrelated in reality can only be studied in isolation. Of course, the lack of integration of statistics applies less to economic data, as the national accounts function as a coordinating information system for these data. In fact, an important aim of this book is to demonstrate that the basic principles of national accounts can and should be extended to a wider range of statistics, notably social and environmental statistics. For this purpose, a so-called System of Economic and Social Accounting Matrices and Extensions (SESAME) is designed and applied in this book, following its announcement in the 1993 System of National Accounts, the guidelines of the United Nations and other international organizations.

Complex-Valued Modeling in Economics and Finance outlines the theory, methodology, and techniques behind modeling economic processes using complex variables theory. The theory of complex variables functions is widely used in many scientific fields, since work with complex variables can appropriately describe different complex real-life processes. Many economic indicators and factors reflecting the properties of the same object can be represented in the form of complex variables. By describing the relationship between various indicators using the functions of these variables, new economic and financial models can be created which are often more accurate than the models of real variables. This book pays critical attention to complex variables production in stock market modeling, modeling illegal economy, time series forecasting, complex auto-aggressive models, and economic dynamics modeling. Very little has been published on this topic and its applications within the fields of economics and finance, and this volume appeals to graduate-level students studying economics, academic researchers in economics and finance, and economists.