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Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. --

Social sciences --- Methodology --- Research --- Sciences sociales --- Methodology. --- Research. --- Méthodologie. --- Recherche. --- Social sciences - Methodology --- Social sciences - Research --- Datenanalyse --- Sozialwissenschaften --- Qualitative Analyse --- Empirische Sozialforschung

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"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"--

Quantitative methods in social research --- Programming --- Social sciences --- Quantitative research --- Sciences sociales --- Recherche quantitative --- Methodology. --- Research. --- Data processing. --- Méthodologie. --- Recherche. --- Stata.

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We report on a large randomized controlled trial of hospital insurance for above-poverty-line Indian households. Households were assigned to free insurance, sale of insurance, sale plus cash transfer, or control. To estimate spillovers, the fraction of households offered insurance varied across villages. The opportunity to purchase insurance led to 59.91% uptake and access to free insurance to 78.71% uptake. Access increased insurance utilization. Positive spillover effects on utilization suggest learning from peers. Many beneficiaries were unable to use insurance, demonstrating hurdles to expanding access via insurance. Across a range of health measures, we estimate no significant impacts on health.