This book explores new topics in modern research on empirical corporate finance and applied accounting, especially the econometric analysis of microdata. The book examines how quantitative methods can be applied in corporate finance and accounting research in order to predict companies getting into financial distress.
Presented in a clear and straightforward manner, it also suggests methods for linking corporate governance to financial performance, and discusses what.
This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables.
Using existing data sets and structured as hands-on exercises, each chapter engages. With contributions from international scholars, this second volume by Joseph Stiglitz and Martin Guzman comprises of theoretical, empirical, and policy-based chapters which carefully utilize theory and data analysis.
Part I focuses on the issues of global inequality, poverty measurement and security. Part II turns to the issue of income contingent loans ICL , where the repayment in any year depends on the annual income of the individual. These loans have proven to be an especially effective way of financing higher education,. Wonderpedia is dedicated to books published all over the globe after year , offering the books' reviews.
Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time.
It covers fixed and random effects models, models for change scores and event history. Books Microeconometrics Using Stata. 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. Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications.
Integrating Stata's impressive graphics, this comprehensive book presents hundreds of examples showing how to apply Stata to accomplish a wide variety of tasks. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. This book explores new topics in modern research on empirical corporate finance and applied accounting, especially the econometric analysis of microdata.
The book examines how quantitative methods can be applied in corporate finance and accounting research in order to predict companies getting into financial distress.
Presented in a clear and straightforward manner, it also suggests methods for linking corporate governance to financial performance, and discusses what the determinants of accounting disclosures are. Exploring these questions by way of numerous practical examples, this book is intended for researchers, practitioners and students who are not yet familiar with the variety of approaches available for data analysis and microeconometrics. In my view, the text is positioned between a narrative and a scientific treatise.
It is based on a vast amount of literature but is not overloaded with formulae. My appreciation of financial microeconometrics has very much increased. The book is well organized and properly written. I enjoyed reading it. This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis.
Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables. Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research.
These include: Data cleaning Data preparation Computation of descriptive statistics Using sample weights Choosing and implementing the right estimator Interpreting results Preparing final output tables Graphical representation Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.
With contributions from international scholars, this second volume by Joseph Stiglitz and Martin Guzman comprises of theoretical, empirical, and policy-based chapters which carefully utilize theory and data analysis. Part I focuses on the issues of global inequality, poverty measurement and security. Part II turns to the issue of income contingent loans ICL , where the repayment in any year depends on the annual income of the individual.
These loans have proven to be an especially effective way of financing higher education, but there has been experimentation of the use of these loans in several other areas. Wonderpedia is dedicated to books published all over the globe after year , offering the books' reviews. Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data.
It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time.
It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website.
As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics.
Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates.
Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology. Features: Compares and contrasts incidence rates with risks, odds, and hazards.
Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate differences. Examines linear regression for rate differences with an emphasis on common problems. Gives methods for correcting confidence intervals. Illustrates problems related to collapsibility. Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data.
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.
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