Along with several new. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata Throughout the book, the. The unique combination of topics, intuitive introductions to methods, and detailed illustrations of Stata examples make this book. It covers topics left out of mostmicroeconometrics textbooks and omitted from basic introductions to Stata. This revised edition has been updated to reflect the newfeatures available in Stata 11 that are useful to microeconomists.
Instead of using mfx and the user-written margeff commands, theauthors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replacethe xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several newexamples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. Throughout the book, theauthors use simulation methods to illustrate features of the estimators and tests described and provide an in-depth Stata example for eachtopic discussed.
The unique combination of topics, intuitive introductions to methods, and detailed illustrations of Stata examples make this bookan invaluable, hands-on addition to the library of anyone who uses microeconometric methods. It covers topics left out of most microeconometrics textbooks and omitted from basic introductions to Stata. This revised edition has been updated to reflect the new features available in Stata 11 that are useful to microeconomists.
Instead of using mfx and the user-written margeff commands, 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. Throughout the book, the authors use simulation methods to illustrate features of the estimators and tests described and provide an in-depth Stata example for each topic discussed. The unique combination of topics, intuitive introductions to methods, and detailed illustrations of Stata examples make this book an invaluable, hands-on addition to the library of anyone who uses microeconometric methods.
Short-link Link Embed. Share from cover. Share from page:. Author : Christopher F. 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. The chapters apply new empirical methods to the analysis of the links between international trade and various dimensions of firm performance such as productivity, profitability, wages, and survival.
The studies also include report results for Germany, one of the leading actors on the world markets for goods and services. Wonderpedia is dedicated to books published all over the globe after year , offering the books' reviews. Author : Andrew M. The text also fully reflects the very latest advances in the health economics field and the key journal literature. Large-scale survey datasets, in particular complex survey designs such as panel data, provide a rich source of information for health economists.
They offer the scope to control for individual heterogeneity and to model the dynamics of individual behaviour. However, the measures of outcome used in health economics are often qualitative or categorical. These create special problems for estimating econometric models. The dramatic growth in computing power over recent years has been accompanied by the development of methods that help to solve these problems.
The purpose of this book is to provide a practical guide to the skills required to put these techniques into practice. There is a strong emphasis on applied work, illustrating the use of relevant computer software with code provided for Stata. Familiarity with the basic syntax and structure of Stata is assumed. The Stata code and extracts from the statistical output are embedded directly in the main text and explained at regular intervals. The book is built around empirical case studies, rather than general theory, and the emphasis is on learning by example.
It presents a detailed dissection of methods and results of some recent research papers written by the authors and their colleagues. Relevant methods are presented alongside the Stata code that can be used to implement them and the empirical results are discussed at each stage. This text brings together the theory and application of health economics and econometrics, and will be a valuable reference for applied economists and students of health economics and applied econometrics.
This book, now in its second edition, provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics and quantitative social sciences.
The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.
Author : Joseph M. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs.
Three key elements in the analysis of credit risk can be distinguished, namely: 1 the lender-borrower relationship, which is at the core of the entire discussion on credit risk; 2 the pricing of credit risk in financial markets; and 3 the relevance of financial stability and regulation related to the occurrence of credit risk. This book captures these areas in a comprehensive way by highlighting some of the current issues and related questions.
Although this interest is welcome, the debate is still mostly focused on income or wealth distribution, which is an important aspect but does not present a complete view of inequality. Most of the theoretical and empirical studies produced by economists concern personal income distribution or factor income distribution.
This is more evident in the studies of the evolution and characteristics of contemporary capitalism and globalization. Varieties of Economic Inequality considers both theoretical perspectives and empirical evidence of aspects such as income, gender, race, technology, power, region, education and class.
Ultimately, this text rejects the idea of supposed long run constant factor shares, the positive effects of inequality and the greater importance of absolute level of income compared to its unequal distribution, and instead reveals the structural inequalities that exist within societies.
This book advocates a move away from the focusing on inequality at the level of the individual and suggests policy for eradicating these various forms of inequality. It is suitable for those who study political economy, social inequality as well as economic theory and philosophy.
It helps practitioners such as health care managers and planners by providing accessible overviews into the broad field of health economics, including the economics of designing health service finance and delivery and the economics of public and population health. This encyclopedia provides an organized overview of this diverse field, providing one trusted source for up-to-date research and analysis of this highly charged and fast-moving subject area. Features research-driven articles that are objective, better-crafted, and more detailed than is currently available in journals and handbooks Combines insights and scholarship across the breadth of health economics, where theory and empirical work increasingly come from non-economists Provides overviews of key policies, theories and programs in easy-to-understand language.
The Consortium for Improving Agriculture-based Livelihoods in Central Africa CIALCA has set up a research for development platform in various mandate areas in DR Congo, Burundi, and Rwanda, aiming to identify improved production, market, and nutrition options and facilitating the access for development partners to these options. This platform is supported by capacity building, multi-stakeholder dialogue, and monitoring and evaluation efforts.
The conference, facilitated by CIALCA, aimed to i take stock of the state-of the art in agricultural intensification in the highlands of SSA and ii chart the way forward for agricultural research for development in the humid highlands of SSA, and more specifically in the recently launched Humidtropics Consortium Research Programme, through keynote, oral and poster presentations, and strategic panel discussions. Although separately entrepreneurship and cluster studies have already attracted the attention of academics and practitioners; this book aims to go further and offer an integrated and interactive view of topics.
The cross-cutting approach is one of the main attributes of this book. In fact, the book involves a great range of organizational and economic perspectives, from social psychology to conventional applied economics disciplines. Moreover, these topics allow the use of different levels of analysis, from the individual entrepreneur behind a start-up to the structure of cluster networks, including the organizational levels.
An analysis of the change and development of clusters going further than traditional functional approaches by examining how entrepreneurs and their actions are not only influenced by the cluster but also shape the cluster development, will offer an explanation of how entrepreneurship and networking entrepreneurs can foster, perhaps also inhibit, cluster development and change.
Finally Entrepreneurship and Cluster Dynamics theorizes about the role of the strategic entrepreneurship in developing start-ups inside already established companies, which can play the role of broker in the cluster.
Entrepreneurship and Cluster Dynamics offers a unique opportunity to academics, researchers, and students to learn about relations and interactions between entrepreneurship and cluster perspectives, providing both newly and original theoretical propositions and also rigorous conclusive empirical exercises. Due to their unique make up, these firms are often heavily influenced by family dynamics that must be reconciled by family and non-family workers alike in order to ensure the sustainability of the business.
As smaller businesses competing against an increasingly globalized economy and more directly impacted by economic instability, especially in the wake of the COVID pandemic, these businesses must continue to improve their practices and processes in order to not only survive but thrive.
The Research Anthology on Strategies for Maintaining Successful Family Firms discusses the strategies, sustainability, and human aspects of family firms in order to understand what sets them apart from other businesses and how they can survive and compete in a globalized economy.
This book discusses the unique dynamic brought by family firms that offers both opportunities and challenges for a growing business.
Covering topics such as corporate venturing, the family unit, and business ethics, this text is an essential resource for family firms, entrepreneurs, managers, business students, business professors, researchers, and academicians. However, without the existence of good corporate governance in these economies, small enterprise will cease to exist in developing countries.
Corporate Governance Models and Applications in Developing Economies is a collection of innovative research that contributes to the better understanding of corporate governance models by documenting the structures, principles, tenets, case studies, and applications for the development of good business practices in developing economies. While highlighting topics including risk management, financial distress, and insider trading, this book is ideally designed for corporate managers, executives, economists, strategists, investors, shareholders, students, researchers, academicians, business professionals, and policymakers.
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