Bernan Press proudly presents the 13th edition of Employment, Hours, and Earnings: States and Areas, 2018. A special addition to Bernan Press's Handbook of U.S. Labor Statistics: Employment, Earnings, Prices, Productivity, and Other Labor Data, this reference is a consolidated wealth of employment information, providing monthly and annual data on hours worked and earnings made by industry, including figures and summary information spanning several years. These data are presented for states and metropolitan statistical areas. This edition features: *Nearly 300 tables with data on employment for each state, the District of Columbia, and the nation's seventy-five largest metropolitan statistical areas (MSAs) *Detailed, non-seasonally adjusted, industry data organized by month and year *Hours and earnings data for each state, by industry *An introduction for each state and the District of Columbia that denotes salient data and noteworthy trends, including changes in population and the civilian labor force, industry increases and declines, employment and unemployment statistics, and a chart detailing employment percentages, by industry *Ranking of the seventy-five largest MSAs, including census population estimates, unemployment rates, and the percent change in total nonfarm employment, *Concise technical notes that explain pertinent facts about the data, including sources, definitions, and significant changes; and provides references for further guidance *A comprehensive appendix that details the geographical components of the seventy-five largest MSAs The employment, hours, and earnings data in this publication provide a detailed and timely picture of the fifty states, the District of Columbia, and the nation's seventy-five largest MSAs. These data can be used to analyze key factors affecting state and local economies and to compare national cyclical trends to local-level economic activity. This reference is an excellent source of information for analysts in both the public and private sectors. Readers who are involved in public policy can use these data to determine the health of the economy, to clearly identify which sectors are growing and which are declining, and to determine the need for federal assistance. State and local jurisdictions can use the data to determine the need for services, including training and unemployment assistance, and for planning and budgetary purposes. In addition, the data can be used to forecast tax revenue. In private industry, the data can be used by business owners to compare their business to the economy as a whole; and to identify suitable areas when making decisions about plant locations, wholesale and retail trade outlets, and for locating a particular sector base.

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

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.

The epic successor to one of the most important books of the century: at once a retelling of global history, a scathing critique of contemporary politics, and a bold proposal for a new and fairer economic system.

Thomas Piketty’s bestselling Capital in the Twenty-First Century galvanized global debate about inequality. In this audacious follow-up, Piketty challenges us to revolutionize how we think about politics, ideology, and history. He exposes the ideas that have sustained inequality for the past millennium, reveals why the shallow politics of right and left are failing us today, and outlines the structure of a fairer economic system.

Our economy, Piketty observes, is not a natural fact. Markets, profits, and capital are all historical constructs that depend on choices. Piketty explores the material and ideological interactions of conflicting social groups that have given us slavery, serfdom, colonialism, communism, and hypercapitalism, shaping the lives of billions. He concludes that the great driver of human progress over the centuries has been the struggle for equality and education and not, as often argued, the assertion of property rights or the pursuit of stability. The new era of extreme inequality that has derailed that progress since the 1980s, he shows, is partly a reaction against communism, but it is also the fruit of ignorance, intellectual specialization, and our drift toward the dead-end politics of identity.

Once we understand this, we can begin to envision a more balanced approach to economics and politics. Piketty argues for a new “participatory” socialism, a system founded on an ideology of equality, social property, education, and the sharing of knowledge and power. Capital and Ideology is destined to be one of the indispensable books of our time, a work that will not only help us understand the world, but that will change it.

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.

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.

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.

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.

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 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.

In recent years, interest in rigorous impact evaluation has grown tremendously in policy-making, economics, public health, social sciences and international relations. Evidence-based policy-making has become a recurring theme in public policy, alongside greater demands for accountability in public policies and public spending, and requests for independent and rigorous impact evaluations for policy evidence. Froelich and Sperlich offer a comprehensive and up-to-date approach to quantitative impact evaluation analysis, also known as causal inference or treatment effect analysis, illustrating the main approaches for identification and estimation: experimental studies, randomization inference and randomized control trials (RCTs), matching and propensity score matching and weighting, instrumental variable estimation, difference-in-differences, regression discontinuity designs, quantile treatment effects, and evaluation of dynamic treatments. The book is designed for economics graduate courses but can also serve as a manual for professionals in research institutes, governments, and international organizations, evaluating the impact of a wide range of public policies in health, environment, transport and economic development.

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.

State Profiles 2022: The Population and Economy of Each U.S. State has been completely updated and provides a wealth of current, authoritative, and comprehensive data on key demographic and economic indicators for each U.S. state and the District of Columbia. Each state is covered by a compact standardized chapter that allows for easy comparisons and timely analysis between the states. A ten-page profile for each U.S. state plus the District of Columbia provides reliable, up-to-date information on a wide range of topics, including: population, labor force, income and poverty, government finances, crime, education, health insurance coverage, voting, marital status, migration, and more. If you want a single source of key demographic and economic data on each of the U.S. states, there is no other book like State Profiles. This book provides an overview of the U.S. economy which provides a framework for understanding the state information. State Profiles is primarily useful for public, school, and college and university libraries, as well as for economic and sociology departments. However, anyone needing state-level information including students, state officials, investors, economic analysts, and concerned citizens will find State Profiles wealth of data and analysis absolutely essential!

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.

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.

This book presents a unique collection of contributions on modern topics in statistics and econometrics, written by leading experts in the respective disciplines and their intersections. It addresses nonparametric statistics and econometrics, quantiles and expectiles, and advanced methods for complex data, including spatial and compositional data, as well as tools for empirical studies in economics and the social sciences. The book was written in honor of Christine Thomas-Agnan on the occasion of her 65th birthday. Given its scope, it will appeal to researchers and PhD students in statistics and econometrics alike who are interested in the latest developments in their field.

This book presents a broad range of statistical techniques to address emerging needs in the field of repeated measures. It also provides a comprehensive overview of extensions of generalized linear models for the bivariate exponential family of distributions, which represent a new development in analysing repeated measures data. The demand for statistical models for correlated outcomes has grown rapidly recently, mainly due to presence of two types of underlying associations: associations between outcomes, and associations between explanatory variables and outcomes. The book systematically addresses key problems arising in the modelling of repeated measures data, bearing in mind those factors that play a major role in estimating the underlying relationships between covariates and outcome variables for correlated outcome data. In addition, it presents new approaches to addressing current challenges in the field of repeated measures and models based on conditional and joint probabilities. Markov models of first and higher orders are used for conditional models in addition to conditional probabilities as a function of covariates. Similarly, joint models are developed using both marginal-conditional probabilities as well as joint probabilities as a function of covariates. In addition to generalized linear models for bivariate outcomes, it highlights extended semi-parametric models for continuous failure time data and their applications in order to include models for a broader range of outcome variables that researchers encounter in various fields. The book further discusses the problem of analysing repeated measures data for failure time in the competing risk framework, which is now taking on an increasingly important role in the field of survival analysis, reliability and actuarial science. Details on how to perform the analyses are included in each chapter and supplemented with newly developed R packages and functions along with SAS codes and macro/IML. It is a valuable resource for researchers, graduate students and other users of statistical techniques for analysing repeated measures data.

This book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading experts in statistics, stochastic processes, mathematical finance and insurance. The individual chapters cover a wide variety of topics ranging from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing and volatility modelling. The book also features review articles, e.g. on survival analysis.

This book studies the evolution of the middle class in Russia after the fall of the Soviet Union. Using data from the RLMS (Russian Longitudinal Monitoring Survey), the volume covers the period of transition (1991-2008) during which many fundamental economic reforms were implemented. The first part of the book is devoted to a discussion of the concept of middle class and a description of the economic situation in Russia during the transition period. Particular attention is given to variations in the distribution of Russian incomes and the estimated importance of the middle class. The second part of the book focuses on the link between the middle class and income bipolarization. The third and last section of the book uses the semiparametric "mixture model" to discover how many different groups may be derived from the income distribution in Russia, as well as what the main socio-economic and demographic characteristics of those groups are. The mobility of households into and out of the middle class during the transition period is also studied in hopes of determining the factors that contribute to such mobility. Using rigorous empirical methods, this volume sheds light on a relatively unstudied economic group and provides insight for countries which are about to enter a transition period. As such, this book will be of great interest to researchers in economics and inequality as well as professionals and practitioners working with international organizations.