Stata, Bittmann Felix

Автор: Lee C. Adkins and R.
Название: Using Stata for Principles of Econometrics, 4th Edition
ISBN: 111803208X ISBN-13(EAN): 9781118032084
Издательство: Wiley
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Цена: 103430.00 T
Наличие на складе: Поставка под заказ.
Описание: The first major volume to place U.S.-centered labor history in a transnational or U.S.-in-the-world focus, Workers Across the Americas invites the leading authors in the field to explore themes of Labor and Empire, Indigenous Peoples and Labor Systems, International Feminism and Reproductive Labor, Labor Recruitment and Immigration Control, Transnational Labor Politics, and Labor Internationalism.

Автор: Cameron
Название: Microeconometrics Using Stata
ISBN: 1597180734 ISBN-13(EAN): 9781597180733
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Поставка под заказ.
Описание: Updated to reflect Stata 11, this revised edition offers a complete and up-to-date survey of microeconometric methods available in Stata. The authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

Автор: Das Panchanan
Название: Econometrics in Theory and Practice: Analysis of Cross Section, Time Series and Panel Data with Stata 15.1
ISBN: 9813290188 ISBN-13(EAN): 9789813290181
Издательство: Springer
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Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software.The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Автор: Deb, Partha Norton, Edward C. Manning, Willard G.
Название: Health econometrics using stata
ISBN: 1597182281 ISBN-13(EAN): 9781597182287
Издательство: Taylor&Francis
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Цена: 57150.00 T
Наличие на складе: Невозможна поставка.
Описание: This book provides an excellent overview of the methods used to analyze data on healthcare expenditure and use. It introduces readers to widely used methods, shows them how to perform these methods in Stata, and illustrates how to interpret the results.

Автор: Kumbhakar
Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata
ISBN: 1107609461 ISBN-13(EAN): 9781107609464
Издательство: Cambridge Academ
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Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Автор: Kumbhakar
Название: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata
ISBN: 1107029511 ISBN-13(EAN): 9781107029514
Издательство: Cambridge Academ
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Цена: 84480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Practitioner`s Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
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Цена: 88800.00 T
Наличие на складе: Невозможна поставка.
Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.