Analysis of Microdata - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Microdata write by Rainer Winkelmann. This book was released on 2006-09-21. Analysis of Microdata available in PDF, EPUB and Kindle. The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book is to familiarize readers with a wide range of commonly used models, and thereby to enable them to become critical consumers of current empirical research, and to conduct their own empirical analyses. The focus of the book is on regression-type models in the context of large cross-section samples. In microdata applications, dependent variables often are qualitative and discrete, while in other cases, the sample is not randomly drawn from the population of interest and the dependent variable is censored or truncated. Hence, models and methods are required that go beyond the standard linear regression model and ordinary least squares. Maximum li- lihood estimation of conditional probability models and marginal probability e?ects are introduced here as the unifying principle for modeling, estimating and interpreting microdata relationships. We consider the limitation to m- imum likelihood sensible, from a pedagogical point of view if the book is to be used in a semester-long advanced undergraduate or graduate course, and from a practical point of view because maximum likelihood estimation is used in the overwhelming majority of current microdata research. In order to introduce and explain the models and methods, we refer to a number of illustrative applications. The main examples include the deter- nants of individual fertility, the intergenerational transmission of secondary schoolchoices,andthewageelasticityoffemalelaborsupply.
Data-Driven Policy Impact Evaluation
Data-Driven Policy Impact Evaluation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Driven Policy Impact Evaluation write by Nuno Crato. This book was released on 2018-10-02. Data-Driven Policy Impact Evaluation available in PDF, EPUB and Kindle. In the light of better and more detailed administrative databases, this open access book provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
Statistical Disclosure Control for Microdata
Statistical Disclosure Control for Microdata - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Disclosure Control for Microdata write by Matthias Templ. This book was released on 2017-05-05. Statistical Disclosure Control for Microdata available in PDF, EPUB and Kindle. This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da ta before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.
Big Data for Twenty-First-Century Economic Statistics
Big Data for Twenty-First-Century Economic Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data for Twenty-First-Century Economic Statistics write by Katharine G. Abraham. This book was released on 2022-03-11. Big Data for Twenty-First-Century Economic Statistics available in PDF, EPUB and Kindle. Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Macro- and Microdata Analyses and Their Integration
Macro- and Microdata Analyses and Their Integration - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Macro- and Microdata Analyses and Their Integration write by Nancy D. Ruggles. This book was released on 1999. Macro- and Microdata Analyses and Their Integration available in PDF, EPUB and Kindle. She is no longer an economist at Yale, but he still is. They explain how to measure and analyze macroeconomic and microeconomic data and how to integrate the two, which diverged sharply during the Great Depression and have rarely interacted since. They demonstrate macroanalysis with studies of recession and recovery in the US from 1929 to 1974, theoretical concepts and empirical measurement of saving and investment, accounting for saving and capital formation in the US from 1947 to 1991, and other cases. For microanalysis they look at a study of differential fertility based on census data, longitudinal establishment data, and other topics. For the integration of the two, they take a more methodological approach, describing such features as macroaccount and microdata sets, the relation of methodology to the technology of economic research, and measuring economic and social performance. Annotation copyrighted by Book News, Inc., Portland, OR
