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Data on government sector receipts, and on taxes in particular, are basic inputs to most structural economic descriptions and economic analyses and are increasingly used in economic comparisons. This annual publication gives a conceptual framework to define which government receipts should be regarded as taxes.
This annual publication gives a conceptual framework to define which government receipts should be regarded as taxes. It presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards.
This annual publication gives a conceptual framework to define which government receipts should be regarded as taxes. It presents a unique set of detailed and internationally comparable tax data in a common format for all OECD countries from 1965 onwards.
This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.
Data on government sector receipts, and on taxes in particular, are basic inputs to most structural economic descriptions and economic analyses and are increasingly used in economic comparisons.
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Contains information on a variety of subjects within the field of education statistics, including the number of schools and colleges, enrollments, teachers, graduates, educational attainment, finances, Federal funds for education, libraries, international education, and research and development.
Over the past 75 years, household income in the United States has increased substantially. Still, by some measures, income inequality has increased as well. This has been the subject of contested public policy and political discourse. The question still stands: How can we better articulate the nuanced changes in American incomes? It is difficult to have conversations about income inequality without an agreed-upon set of terms, metrics, and concepts. United States Income, Wealth, Consumption, and Inequality, edited by Diana Furchtgott-Roth, examines the trends in income growth in the United States and explores various measures of income, including market, post-tax, and post-transfer income. Within each chapter, distinguished experts explain how income and wealth--and the way we measure them--have changed in the United States, which demographic groups have benefited from these changes, and how mobility has changed over time and over generations. Specific chapters explain the roles of gender and race. The resulting book is relevant to modern international policy, particularly in light of the COVID-19 pandemic, and addresses what can be done to increase economic mobility in the United States.