Developing Econometrics

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemiology, this book presents classic methodology and applications as well as more advanced topics and recent developments in this field including error component models, spatial panels and dynamic models. They have developed the software programming in R and host replicable material on the book’s accompanying website.

Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.

The first cutting-edge guide to using the SAS® system for the analysis of econometric data Applied Econometrics Using the SAS® System is the first book of its kind to treat the analysis of basic econometric data using SAS®, one of the most commonly used software tools among today's statisticians in business and industry. This book thoroughly examines econometric methods and discusses how data collected in economic studies can easily be analyzed using the SAS® system. In addition to addressing the computational aspects of econometric data analysis, the author provides a statistical foundation by introducing the underlying theory behind each method before delving into the related SAS® routines. The book begins with a basic introduction to econometrics and the relationship between classical regression analysis models and econometric models. Subsequent chapters balance essential concepts with SAS® tools and cover key topics such as: Regression analysis using Proc IML and Proc Reg Hypothesis testing Instrumental variables analysis, with a discussion of measurement errors, the assumptions incorporated into the analysis, and specification tests Heteroscedasticity, including GLS and FGLS estimation, group-wise heteroscedasticity, and GARCH models Panel data analysis Discrete choice models, along with coverage of binary choice models and Poisson regression Duration analysis models Assuming only a working knowledge of SAS®, this book is a one-stop reference for using the software to analyze econometric data. Additional features include complete SAS® code, Proc IML routines plus a tutorial on Proc IML, and an appendix with additional programs and data sets. Applied Econometrics Using the SAS® System serves as a relevant and valuable reference for practitioners in the fields of business, economics, and finance. In addition, most students of econometrics are taught using GAUSS and STATA, yet SAS® is the standard in the working world; therefore, this book is an ideal supplement for upper-undergraduate and graduate courses in statistics, economics, and other social sciences since it prepares readers for real-world careers.

Written by leading market risk academic, Professor Carol Alexander, Practical Financial Econometrics forms part two of the Market Risk Analysis four volume set. It introduces the econometric techniques that are commonly applied to finance with a critical and selective exposition, emphasising the areas of econometrics, such as GARCH, cointegration and copulas that are required for resolving problems in market risk analysis. The book covers material for a one-semester graduate course in applied financial econometrics in a very pedagogical fashion as each time a concept is introduced an empirical example is given, and whenever possible this is illustrated with an Excel spreadsheet. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Factor analysis with orthogonal regressions and using principal component factors; Estimation of symmetric and asymmetric, normal and Student t GARCH and E-GARCH parameters; Normal, Student t, Gumbel, Clayton, normal mixture copula densities, and simulations from these copulas with application to VaR and portfolio optimization; Principal component analysis of yield curves with applications to portfolio immunization and asset/liability management; Simulation of normal mixture and Markov switching GARCH returns; Cointegration based index tracking and pairs trading, with error correction and impulse response modelling; Markov switching regression models (Eviews code); GARCH term structure forecasting with volatility targeting; Non-linear quantile regressions with applications to hedging.

Based on the popular Developing Leadership Talent program offered by the acclaimed Center for Creative Leadership, this important resource offers a nuts-and-bolts framework for putting in place a leadership development system that will attract and retain the best and brightest talent. Step by step, the authors explain how alignment with strategic goals and organizational purpose and effective developmental experiences are the backbone of a successful leadership program. An authoritative and useful book, Developing Leadership Talent is an essential tool for any leadership program.

The systematic management of executive talent is a key strategic challenge for most large corporations. This is an emerging field and, consequently, there is a lack of consensus about what is involved and a variety of approaches have been adopted. In Developing Executive Talent Jonathan Smilansky, Ph.D. summarises the key activities and concerns of large businesses in the USA and Europe that are focused around the identification, development and effective utilisation of executive talent. In doing so, he provides even the most experienced Human Resource executive with a much broader array of inputs about what today's leading organizations are doing in this area. What quickly becomes clear is that even the best businesses are still developing their talent management processes. There are no 'right' answers and different organizations, with different levels of commitment, at different stages of development and in different environments produce different approaches. Developing Executive Talent is a map that lets you compare your organisation's approach with what others are doing in this area. It also grants you a close-up view of alternative processes designed to identify and develop the leaders of tomorrow. By learning from the experience of others you can become an 'educated consumer' of talent management services, and help both your organization and your own career. With quotations from Heads of Human Resources describing their experiences and concerns, specific tools and processes used by large businesses to identify and manage the leaders of tomorrow, Developing Executive Talent offers the clearest and most coherent picture to date of how leading organizations are tackling this critical business challenge.

Build your own intelligent agent system… Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling goods via electronic commerce, to autonomous space probes. This powerful technology is not widely used, however, as developing intelligent agent software requires high levels of training and skill. The authors of this book have developed and tested a methodology and tools for developing intelligent agent systems. With this methodology (Prometheus) developers can start agent-oriented designs and implementations easily from scratch saving valuable time and resources. Developing Intelligent Agent Systems not only answers the questions “what are agents?” and “why are they useful?” but also the crucial question: “how do I design and build intelligent agent systems?” The book covers everything a practitioner needs to know to begin to effectively use this technology – including an introduction to the notion of agents, a description of the concepts involved, and a software engineering methodology. Read on for: a practical step-by-step introduction to designing and building intelligent agent systems. a full life-cycle methodology for developing intelligent agent systems covering specification, analysis, design and implementation of agents. PDT: Prometheus Design Tool – software support for the Prometheus design process. the example of an electronic bookstore to illustrate the design process throughout the book. Electronic resources including the Prometheus Design Tool (PDT), can be found at: http://www.cs.rmit.edu.au/agents/prometheus This book is aimed at industrial software developers, software engineers and at advanced undergraduate students. It assumes knowledge of basic software engineering but does not require knowledge of Artificial Intelligence or of mathematics. Familiarity with Java will help in reading the examples in chapter 10.

The collected papers from the most prestigious symposia in the field of child development provide scholars, students, and practitioners with access to the work of key researchers in human development. This volume focuses on changes in our understanding of cogisnitive control processes—constructs important to the field since Wundt and Freud. Our understanding of these constructs has advanced dramatically in recent years—both empirically and conceptually. This collection brings generalists and specialists alike up-to-date on this central process of human development and the implications for this new knowledge on school success and other areas.

Until the late 1980s, there were very few democratically elected governments in the developing world. These areas were characterized by a range of authoritarian regimes from military administrations to one-party dictatorships. Over the past decade, however, the situation has altered significantly and an increasing number of developing countries have made the transition to democracy. For some, this process of building and consolidating democracy has been relatively easy, while for others, it has proved more complex and harder to sustain. In this important new textbook, Jeff Haynes seeks to explain why these differences occur. Adopting a broadly comparative approach, he begins by examining the theories and practice of democratic transition and consolidation in the new democracies of Africa, Asia, Latin America and the Middle East. Haynes argues persuasively that a country's ability to consolidate democracy depends not only on the interaction of structural and agency factors, but also on a variety of specific domestic and international concerns which may help or hinder democratic progress. Using a wide range of case studies to illustrate his argument, Haynes provides an accessible and comprehensive analysis of the processes and problems of democratic consolidation in developing nations. This is an important textbook that will be invaluable to students in a variety of areas from politics and comparative politics to development studies and history.

Team working and learning through reflection are both fundamental to quality healthcare. This book is the first to explore the use of the practices of reflection to develop health care teams that can deliver sustainable, high-quality personalised care. Developing the Reflective Healthcare Team is structured in three parts which are about new views of reflective practice, improving team working, and the use of the TA2LK facilitative reflective process to develop high performing teams.