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"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.
A practical how-to guide on all the steps involved with survey implementation, this volume covers survey management, questionnaire design, sampling, respondent's psychology and survey participation, and data management. A comprehensive and practical reference for those who both use and produce survey data.
This book is unique in covering all important topics of the Chinese economy in depth but written in a language understandable to the layman and yet challenging to the expert. Beginning with entrepreneurship that propels the dynamic economic changes in China today, the book is organized into four broad parts to discuss China's economic development, to analyze significant economic issues, to recommend economic policies and to comment on the timely economic issues in the American economy for comparison.Unlike a textbook, the discussion is original and thought-provoking. It is written by a most distinguished economist who has studied the Chinese economy for thirty years, after making breathtaking contributions to the fields of econometrics, applied economics and dynamic economics and serving as a major adviser to the government of Taiwan during its period of rapid development in the 1960s and 1970s. In the last thirty years, the author has served as a major adviser to the government of China on economic reform and important economic policies and cooperated with the Ministry of Education to introduce and promote the development of modern economics in China, including training hundreds of economists in China and placing many graduate students to pursue a doctoral degrees in economics in leading universities in the US and Canada. These graduates now plays pivotal roles in China and in the US in academics, business or government institutions. The essays, a culmination of the author's expertise in China over five decades, are being widely read in China. When the author became professor emeritus at Princeton, the University named the Econometric Research Program as the Gregory C Chow Econometric Research Program in his honor.
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to provide a solid foundation in statistics. It also addresses tools used by researchers to describe and summarize data ranging from single variables to assessing the relationship between variables and cause and effect among variables. The second section focuses on inferential statistics, describing how researchers draw conclusions about whole populations based on data from samples. This section also covers confidence intervals and a variety of significance tests for examining relationships between different types of variables. Additionally, tools for multivariate analyses and data interpretation are presented. Key Features: Addresses the role of statistics in evidence-based practice and program evaluation Features examples of qualitative and quantitative analysis Each chapter contains exercise problems and questions to enhance student learning Includes electronic data sets taken from actual social work arenas Offers a full ancillary digital packet including a student guide to SPSS with accompanying Data Set, an Instructor's Manual, PowerPoint slides, and a Test Bank
"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
We are bombarded with economic numbers: unemployment, retail sales, inflation, GDP—the list goes on and on. Some analyst or another is constantly telling us about an obscure statistic that is the key to our future, or is apparently the indicator that the "Fed" will be using to key off its decisions. With economic numbers playing such a central role in the national and world dialogue on policy and markets, and spilling over into the political arena, a broad review of what they are all about is timely. This book reviews the critical US economic data, and how one may put the numbers into an intellectual structure that will depict evolving economic reality. The work is aimed at those who want and need to get some understanding about how the data contributes to a big picture of the economy and guides policy. The objective is for the reader to grasp the overall logic of the data—how each piece of the puzzle contributes to our understanding of the overall economy. This is the way the Fed looks at the numbers. There are other books that go through the economic numbers, but they do so in a "bottom-up" fashion, describing a series in some detail and adding something about how financial markets may respond to it. This book naturally has considerable discussion of series, but views them as part of the overall mosaic, not items of fundamental interest in themselves.
Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
This book integrates the problem of violence into a larger framework, showing how economic and political behavior are closely linked.