Although South Africa’s informal sector is small compared to other developing countries, it nevertheless provides livelihoods, employment and income for millions of workers and business owners. Almost half of informal-sector workers work in firms with employees. The annual entry of new enterprises is quite high, as is the number of informal enterprises that grow their employment. There is no shortage of entrepreneurship and desire to grow.

However, obstacles and constraints cause hardship and failure, pointing to the need for well-designed policies to enable and support the sector, rather than suppress it. The same goes for formalisation. Recognising the informal sector as an integral part of the economy, rather than ignoring it, is a crucial first step towards instituting a ‘smart’ policy approach.

The South African Informal Sector is strongly evidence- and data-driven, with substantial quantitative contributions combined with qualitative findings – suitable for an era of increased pressure for evidence-based policy-making – and utilises several disciplinary perspectives.

Economic theories can be expressed in words, numbers, graphs and symbols. The existing traditional economics textbooks cover all four methods, but the general focus is often more on writing about the theory and methods, with few practical examples. With an increasing number of universities having introduced mathematical economics at undergraduate level, Basic mathematics for economics students aims to fill this gap in the field. Basic mathematics for economics students begins with a comprehensive chapter on basic mathematical concepts and methods (suitable for self-study, revision or tutorial purposes) to ensure that students have the necessary foundation. The book is written in an accessible style and is extremely practical. Numerous mathematical economics examples and exercises are provided as well as fully worked solutions using numbers, graphs and symbols. Basic mathematics for economics students is aimed at all economics students. It focuses on quantitative aspects and especially complements the three highly popular theoretical economics textbooks, Understanding microeconomics, Understanding macroeconomics and Economics for South African students, all written by Philip Mohr and published by Van Schaik Publishers.

Gain a clear understanding of the fundamental concepts and applications behind operations and supply chain management with the reader-friendly approach in Collier/Evans' popular OPERATIONS AND SUPPLY CHAIN MANAGEMENT, 2E. The authors present detailed, solved problems throughout this edition to illustrate key formulas and computations as you learn to complete both manual and digital calculations using Excel spreadsheet templates and other Excel models for optimization and simulation. Even more review questions, cases, experiential activities, problems and exercises as well as feature boxes teach you how to work with the latest operations management (OM) and supply chain management (SCM) concepts and tools. New content examines process analysis and resource utilization, analytics in OM, capacity measurement, applications of linear optimization and other critical OM and SCM topics. You can further your understanding with interactive digital resources and new algorithmic exercises within MindTap's complete learning applications.

Master the fundamental concepts and today's applications of operations (OM) and supply chain management (SCM) with OPERATIONS AND SUPPLY CHAIN MANAGEMENT, 3rd Edition by award-winning authors Collier and Evans.

This edition provides balanced coverage of both manufacturing and service businesses with updates, recent developments and new concepts that highlight the latest changes in OM and SCM. This edition clearly explains concepts while using contemporary practical examples ideal for business students, updated boxed features and new and updated case studies. Discussions highlight new concepts and new Excel techniques and digital tools, while solved problems illustrate key formulas and computations.

MindTap online learning platform is also available to support both manual calculations and the use of Excel spreadsheet templates and models. MindTap's algorithmic homework and interactive learning tools encourage students to apply qualitative and quantitative reasoning to today's OM and SCM concepts.

This volume offers extensive coverage of current political, economic and social affairs of the region. It provides an impartial perspective on all the countries and territores of Eastern Europe, Russia and Central Asia. With easy-to-use data, it contains almost 600 pages of analysis by acknowledged experts, recent statistics and useful directory material.

A classic text for accuracy and statistical precision. Statistics for Business and Economics enables readers to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides readers with the knowledge they need to become stronger analysts for future managerial positions. The eighth edition of this book has been revised and updated to provide readers with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. This package includes MyLab. For courses in Business Statistics. A classic text for accuracy and statistical precision Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions. In this regard, it emphasizes an understanding of the assumptions that are necessary for professional analysis. In particular, it has greatly expanded the number of applications that utilize data from applied policy and research settings. The Ninth Edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This revision recognizes the globalization of statistical study and in particular the global market for this book. Reach every student by pairing this text with MyLab Statistics MyLab (TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student. MyLab Statistics should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Economic theories can be expressed in words, numbers, graphs and symbols. The existing traditional economics textbooks cover all four methods, but the general focus is often more on writing about the theory and methods, with few practical examples. With an increasing number of universities having introduced mathematical economics at undergraduate level, Basic mathematics for economic students aims to fill this gap in the field. Basic mathematics for economic students begins with a comprehensive chapter on basic mathematical concepts and methods (suitable for self-study, revision or tutorial purposes) to ensure that students have the necessary foundation. The book is written in an accessible style and is extremely practical. Numerous mathematical economics examples and exercises are provided as well as fully worked solutions using numbers, graphs and symbols. Basic mathematics for economic students is aimed at all economics students. It focuses on quantitative aspects and especially complements the two highly popular theoretical economics textbooks Understanding microeconomics and Understanding macroeconomics, both written by Philip Mohr and published by Van Schaik.

Statistics for Business and Economics introduces statistics in the context of contemporary business. Emphasising statistical literacy in thinking, the text applies its concepts with real data and uses technology to develop a deeper conceptual understanding. Examples, activities, and case studies foster active learning in the classroom while emphasising intuitive concepts of probability and teaching students to make informed business decisions. The 14th Edition continues to highlight the importance of ethical behaviour in collecting, interpreting, and reporting on data, while also providing a wealth of new and updated exercises and case studies.

Quantitative techniques form the backbone of all statistical, economic and management models according to which forecasts and management decisions are made. Quantitative statistical techniques aims to help readers not only master these techniques, but also understand the role of each technique. Quantitative principles are stated simply and are specifically directed at the first-year student who is contemplating a career in the business sector. The topics that are dealt with reflect the relevant quantitative background specifically demanded by business careers.

Kwantitatiewe tegnieke vorm die ruggraat van alle statistiese, ekonomiese en bestuursmodelle ingevolge waarvan vooruitskattings gemaak en bestuursbesluite geneem word. Die doel van Kwantitatiewe statistiese tegnieke is om die rol van hierdie tegnieke aan lesers te verduidelik en hulle in staat te stel om dit te bemeester. Die kwantitatiewe beginsels word eenvoudig uiteengesit en is veral gemik op eerstejaarstudente wat 'n loopbaan in die sakesektor beplan. Die onderwerpe wat behandel word, sluit direk aan by die kwantitatiewe agtergrond wat vir bepaalde beroepe in die sakewereld vereis word.

Fundamental Statistics for the Social, Behavioral, and Health Sciences presents students with instructional material in a clear, concise manner and features exercises that get students thinking about how to use statistics in applied settings. The text opens with coverage of foundational concepts in descriptive statistics, including frequency distribution, central tendency, and variability. Additional chapters guide students through their first journey into inferential statistics. The book is highly accessible, features clear examples and graphs, and challenges students to apply what they learn to a variety of situations. It includes step-by-step instructions on using IBM SPSS Statistics. The revised second edition includes new tables that illustrate effect sizes for t-tests. Additionally, the second edition includes small text corrections throughout and updated interior design to increase readability. Fundamental Statistics for the Social, Behavioral, and Health Sciences is an ideal resource for foundational courses in statistics.

We are bombarded every day with numbers that tell us how we are doing, whether the economy is growing or shrinking, whether the future looks bright or dim. Gross national product, balance of trade, unemployment, inflation, and consumer confidence guide our actions, yet few of us know where these numbers come from, what they mean, or why they rule our world.
In "The Leading Indicators," Zachary Karabell tells the fascinating history of these indicators. They were invented in the mid-twentieth century to address the urgent challenges of the Great Depression, World War II, and the Cold War. They were rough measures-- designed to give clarity in a data-parched world that was made up of centralized, industrial nations--yet we still rely on them today.
We live in a world shaped by information technology and the borderless flow of capital and goods. When we follow a 1950s road map for a twenty-first-century world, we shouldn't be surprised if we get lost.
What is urgently needed, Karabell makes clear, is not that we invent a new set of numbers but that we tap into the thriving data revolution, which offers unparalleled access to the information we need. Companies should not base their business plans on GDP projections; individuals should not decide whether to buy a home or get a degree based on the national unemployment rate. If you want to buy a home, look for a job, start a company, or run a business, you should find your own indicators. National housing figures don't matter; local ones do. You can find them at the click of a button. Personal, made-to-order indicators will meet our needs today, and the revolution is well underway. We need only to join it.

Getting Data Science Done outlines the essential stages in running successful data science projects-providing comprehensive guidelines to help you identify potential issues and then a range of strategies for mitigating them. Data science is a field that synthesizes statistics, computer science and business analytics to deliver results that can impact almost any type of process or organization. Data science is also an evolving technical discipline, whose practice is full of pitfalls and potential problems for managers, stakeholders and practitioners. Many organizations struggle to consistently deliver results with data science due to a wide range of issues, including knowledge barriers, problem framing, organizational change and integration with IT and engineering. Getting Data Science Done outlines the essential stages in running successful data science projects. The book provides comprehensive guidelines to help you identify potential issues and then a range of strategies for mitigating them. The book is organized as a sequential process allowing the reader to work their way through a project from an initial idea all the way to a deployed and integrated product.

Agricultural Statistics is published each year to meet the diverse need for a reliable reference book on agricultural production, supplies, consumption, facilities, costs, and returns. Its tables of annual data cover a wide variety of facts in forms suited to most common use. The estimates for crops, livestock, and poultry made by the U.S. Department of Agriculture are prepared mainly to give timely current state and national totals and averages. They are based on data obtained by sample surveys of farmers and of people who do business with farmers. The survey data are supplemented by information from the Census of Agriculture taken every five years. Being estimates, they are subject to revision as more data become available from commercial or government sources. Unless otherwise indicated, the totals for the United States shown in the various tables on area, production, numbers, price, value, supplies, and disposition are based on official Department estimates. They exclude states for which no official estimates are compiled. Extensive data includes statistics for the following: Grain and Feed Cotton, Tobacco, Sugar Crops, and Honey Oilseeds, Fats, and Oils Vegetables and Melons Hay, Seeds, and Minor Field Crops Cattle, Hogs, and Sheep Dairy and Poultry Insurance, Credit & Cooperatives Agricultural Conservation & Forestry Consumption & Family Living Fertilizers & Pesticides Miscellaneous Agricultural Statistics such as Foreign Agricultural Trade Statistics including exports, fisheries and more. Professionals in the following fields to include farmers, ranchers, soil conservationists, surveyors, agricultural economist consultants, livestock manufacturers, livestock feedlot operators, food distributors, animal scientists, food chemists, food brokers, farm and land appraisers (and more) may have the greatest interest in this volume.

Business Statistics narrows the gap between theory and practice by focusing on relevant statistical methods, thus empowering business students to make good, data-driven decisions. Using the latest GAISE (Guidelines for Assessment and Instruction in Statistics Education) report, which included extensive revisions to reflect both the evolution of technology and new wisdom on statistics education, this edition brings a modern edge to teaching business statistics. This includes a focus on the report's key recommendations: teaching statistical thinking, focusing on conceptual understanding, integrating real data with a context and a purpose, fostering active learning, using technology to explore concepts and analyse data, and using assessments to improve and evaluate student learning. By presenting statistics in the context of real-world businesses and by emphasising analysis and understanding over computation, this book helps students be more analytical, prepares them to make better business decisions, and shows them how to effectively communicate results. Samples Preview the detailed table of contents Download a sample chapter from Business Statistics, Global Edition, 4th Edition

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.

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.

The Handbook of U.S. Labor Statistics is recognized as an authoritative resource on the U.S. labor force. It continues and enhances the Bureau of Labor Statistics's (BLS) discontinued publication, Labor Statistics. It allows the user to understand recent developments as well as to compare today's economy with that of the past. This publication includes several tables throughout the book examining the extensive effect that coronavirus (COVID-19) had on the labor market throughout 2020. A chapter titled “The Impact of Coronavirus (COVID-19) on the Labor Force” includes new information on hazard pay, safety measures businesses enforced during the pandemic, vaccine incentives, and compressed work schedules. In addition, there are several other tables within the book exploring its impact on employment, telework, and consumer expenditures. This edition of Handbook of U.S. Labor Statistics also includes a completely updated chapter on prices and the most current employment projections through 2030. The Handbook is a comprehensive reference providing an abundance of information on a variety of topics. In addition to providing statistics on employment, unemployment, and prices, it includes information on topics such as: Earnings; Productivity; Consumer expenditures; Occupational safety and health; Union membership; Working poor Recent trends in the labor force And much more! Features of the publication: In addition to over 215 tables that present practical data, the Handbook provides: Introductory material for each chapter that contains highlights of salient data and figures that call attention to noteworthy trends in the data Notes and definitions, which contain concise descriptions of the data sources, concepts, definitions, and methodology from which the data are derived References to more comprehensive reports which provide additional data and more extensive descriptions of estimation methods, sampling, and reliability measures

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.

Bernan Press proudly presents the 15th edition of Employment, Hours, and Earnings: States and Areas, 2020. A special addition to Bernan Press 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.

The Who, What, and Where of America is designed to provide a sampling of key demographic information. It covers the United States, every state, each metropolitan statistical area, and all the counties and cities with a population of 20,000 or more. Who: Age, Race and Ethnicity, and Household Structure What: Education, Employment, and Income Where: Migration, Housing, and Transportation Each part is preceded by highlights and ranking tables that show how areas diverge from the national norm. These research aids are invaluable for understanding data from the ACS and for highlighting what it tells us about who we are, what we do, and where we live. Each topic is divided into four tables revealing the results of the data collected from different types of geographic areas in the United States, generally with populations greater than 20,000. Table A. States Table B. Counties Table C. Metropolitan Areas Table D. Cities In this edition, you will find social and economic estimates on the ways American communities are changing with regard to the following: Age and race Health care coverage Marital history Education attainment Income and occupation Commute time to work Employment status Home values and monthly costs Veteran status Size of home or rental unit This title is the latest in the County and City Extra Series of publications from Bernan Press. Other titles include County and City Extra, County and City Extra: Special Decennial Census Edition, and Places, Towns, and Townships.