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Microeconometrics Using Stata Second Edition Volume II: Nonlinear Models and Casual Inference Methods

Microeconometrics Using Stata Second Edition Volume II: Nonlinear Models and Casual Inference Methods

Microeconometrics Using Stata Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit tobit Poisson and choice models. Each of these discussions has been updated to show the most modern implementation in Stata and many include additional explanation of the underlying methods. In addition the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity including finite mixture models structural equation models and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book. | Microeconometrics Using Stata Second Edition Volume II: Nonlinear Models and Casual Inference Methods

GBP 89.99
1

Microeconometrics Using Stata Second Edition Volumes I and II

Microeconometrics Using Stata Second Edition Volumes I and II

Microeconometrics Using Stata Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit tobit Poisson and choice models. Each of these discussions has been updated to show the most modern implementation in Stata and many include additional explanation of the underlying methods. In addition the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity including finite mixture models structural equation models and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book. | Microeconometrics Using Stata Second Edition Volumes I and II

GBP 150.00
1

Microeconometrics Using Stata Second Edition Volume I: Cross-Sectional and Panel Regression Models

Microeconometrics Using Stata Second Edition Volume I: Cross-Sectional and Panel Regression Models

Microeconometrics Using Stata Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to panel-data estimation to nonlinear models such as probit tobit Poisson and choice models. Each of these discussions has been updated to show the most modern implementation in Stata and many include additional explanation of the underlying methods. In addition the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata. The second edition is greatly expanded—the new material is so extensive that the text now comprises two volumes. In addition to the classics the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically the book includes entirely new chapters on duration models randomized control trials and exogenous treatment effects endogenous treatment effects models for endogeneity and heterogeneity including finite mixture models structural equation models and nonlinear mixed-effects models spatial autoregressive models semiparametric regression lasso for prediction and inference Bayesian analysis Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book. | Microeconometrics Using Stata Second Edition Volume I: Cross-Sectional and Panel Regression Models

GBP 89.99
1

A Visual Guide to Stata Graphics

A Course in Item Response Theory and Modeling with Stata

Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures the book illustrates linear models with continuous predictors (modeled linearly using polynomials and piecewise) interactions of continuous predictors categorical predictors interactions of categorical predictors and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models models where time is a continuous predictor models with time as a categorical predictor nonlinear models (such as logistic or ordinal logistic regression) and models involving complex survey data. The examples illustrate the use of the margins marginsplot contrast and pwcompare commands. This new edition reflects new and enhanced features added to Stata most importantly the ability to label statistical output using value labels associated with factor variables. As a result output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally this second edition illustrates other new features such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata this book is for you.

GBP 59.99
1

Data Management Using Stata A Practical Handbook

Data Management Using Stata A Practical Handbook

This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats the ability to write highly customized Excel files the ability to have multiple Stata datasets open at once and the ability to store and manipulate string variables stored as Unicode. Further this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition the chapters are organized by data management areas: reading and writing datasets cleaning data labeling datasets creating variables combining datasets processing observations across subgroups changing the shape of datasets and programming for data management. Within each chapter each section is a self-contained lesson illustrating a particular data management task (for instance creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the “nuts and bolts” examples author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management while experienced users will find this information to be handy and time saving—there is a good chance that even the experienced user will learn some new tricks. | Data Management Using Stata A Practical Handbook

GBP 61.99
1