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A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
The volume presents the results collated in the frames of the fact finding project led by the editor. The analysis includes the examination of a large number of legal documents and policy statements issued by national authorities and the international community on the matter. A critical overview is also made about the various Roma-specific political campaigns on national and European scale. The second half of the book contains interviews with activists that assumed a leading role in school desegregation. These testimony pieces have been critically reviewed by educational and policy analysts from the concerned countries.
Examines a set of voter information campaigns worldwide to assess their effectiveness, and develops a new social science research model aimed at cumulative learning. It will appeal to academics and practitioners looking for innovative ways to conduct social science research that is rigorous, policy-relevant, and cumulative.
An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking. It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.
Youth and the future What will become of today’s young people in Australia, Asia, Europe, Latin America and North America? Will they be supportive of the world they live in? Or are they doomed to be criminal drop-outs? The authors investigate to which extent different and contradictory trends of social modernisation and economic progress determine the biographical development and social integration of young people in different countries and world regions. Thus, the authors look at the role young people themselves can play in the future; either as construc tive social actors or as a problematic – and partly excluded – group unable to face the challenges of a permanently changing world.
This book offers insights into the process of economic reform in developing countries. It is organized around three factors that are critical to the success of any reform. According to Nobel Laureate Amartya Sen, these key dimensions are Reach, Range, and Reason. 'Reach' refers to the ability of reform to be person-centered and evenhanded, reaching all individuals in society. 'Range' considers the institutional reforms and policy changes necessary to implement change and the possible ripple effects on other policies and populations. Finally, 'Reason' captures the importance of constantly asking why a particular reform has been selected.
For most of the twentieth century, American and European intellectual life was defined by its fascination with a particular utopian vision. Both the artistic and political vanguards were spellbound by the Communist promise of a new human era—so much so that its political terrors were rationalized as a form of applied evolution and its collapse hailed as the end of history.The Red Atlantisargues that Communism produced a complex culture with a dialectical relation to both modernism and itself. Offering examples ranging from the Stalinist show trial to Franz Kafka's posthumous career as a dissident writer And The work of filmmakers, painters, and writers, which can be understood only as crit...