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The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
Dieses Buch ist eine unschätzbare Informationsquelle für alle Ingenieure, Designer, Manager und Techniker bei Entwicklung, Studium und Anwendung einer großen Vielzahl von Simulationstechniken. Es vereint die Arbeit internationaler Simulationsexperten aus Industrie und Forschung. Alle Aspekte der Simulation werden in diesem umfangreichen Nachschlagewerk abgedeckt. Der Leser wird vertraut gemacht mit den verschiedenen Techniken von Industriesimulationen sowie mit Einsatz, Anwendungen und Entwicklungen. Neueste Fortschritte wie z.B. objektorientierte Programmierung werden ebenso behandelt wie Richtlinien für den erfolgreichen Umgang mit simulationsgestützten Prozessen. Auch gibt es eine Liste mit den wichtigsten Vertriebs- und Zulieferadressen. (10/98)
This publication examines the empirical evidence on the privatisation measures introduced in the Latin American region since the 1980s, in light of recent criticisms of the record of privatisation and allegations of corruption, abuse of market power and neglect of the poor. It includes case studies on the privatisation debate in Argentina, Bolivia, Brazil, Chile, Colombia, Mexico, and Peru; and sets out recommendations for future reforms.
Some of the key mathematical results are stated without proof in order to make the underlying theory acccessible to a wider audience. The book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The emphasis is on methods and the analysis of data sets. The logic and tools of model-building for stationary and non-stationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introducitons are also given to cointegration and to non-linear, continuous-time and long-memory models. The time series package included in the back of the book is a slightly modified version of the package ITSM, published separately as ITSM for Windows, by Springer-Verlag, 1994. It does not handle such large data sets as ITSM for Windows, but like the latter, runs on IBM-PC compatible computers under either DOS or Windows (version 3.1 or later). The programs are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis.
This book is a practical guide to building economic models both macroeconomic and multisectoral. It uses free software available from the Internet together with regularly updated databanks including the quarterly national accounts of the United States and other quarterly data. It assumes no prior acquaintance with econometrics or computer programming, but does assume a willingness to follow a mathematical argument. Much of the text has often been used in college teaching. The book begins with a very simple model that can be computed with a hand calculator or cell phone. The model has, however, a nonlinearity in the investment function and shows how a nonlinearity can lead to a model with a cycle which neither damps out nor explodes. It then moves to models built with real data in the framework of the U.S. National Income and Product Accounts and develops the important concept of identity-centered modeling. Once the identities are are working properly, the modeler can proceed to the estimation of equations by least-squares regressions. Gradually the reader is led to the construction of a model roughly comparable to those used by commercial economic forecasting firms. At every step of the way, the reader sees results of calculations with real data and is urged to estimate his or her own equations with real, up-to-date data. The second section explores making alternative forecasts with this model and devising optimal economic policies with its aid. It also explores the range of uncertainty of the forecasts due to known variability of the errors in its equations. A rather long chapter expounds some conventional econometric methods and applies them to real data to both illustrate them and evaluate their usefulness. Although most of the book uses equations which are linear in the parameters which must be estimated, some functions very useful for certain purposes in economics are non-linear in the parameters. A chapter is devoted to their estimation. Most of the book uses the relatively simple U.S. system of national accounts, but one chapter deals with modeling with the more complicated System of National Accounts used by most other countries. Like the economy itself, dynamic models such as those built here have a tendency to develop cycles. One chapter looks into the mathematical theory of why that is so. The third section enlarges the scope of the book to include multisectoral models. Although here the model actually built is a tiny one of 8-sectors with made-up data, the methods employed are exactly those of the Inforum models used in a number of countries around the world. Multi-sectoral models can use many of the same techniques used for macromodels, but there are some additional problems. One of these is the estimation of personal consumption functions where the demand for any one product depends not only on its price but those of all other products. One method which has worked better than others is explained and the results of its estimation in four countries are presented and compared. Another problem is the computation of product-to-product tables from those constructed by statistical agencies. The book does not explain Real Business Cycle models, nor Computable General Equilibrium models, nor Dynamic Stochastic General Equilibrium models, which are all, in the author's opinion, unrealistic fads, not serious ways of modeling an economy..
A Hands-On Way to Learning Data AnalysisPart of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear models
Der erste Teil bietet eine kritische Gesamtschau unseres Wissens und zugleich eine EinfÃ"hrung in das Studium der altassyrischen Epoche (die ersten beiden Jahrhunderte des 2. Jahrtausends), wie wir sie durch Entdeckungen in Assur und die Keilschriftarchive der altassyrischen Händler kennen, die in der Handelskolonie (genannt karum) in der Unterstadt des alten Kanesh (moderne KÃ"ltepe) in Zentralanatolien lebten. Die ersten Kapitel bestimmen, was "altassyrisch" ist und analysieren die Chronologie und die verfÃ"gbaren archäologischen und schriftlichen Quellen. Darauf folgt eine kritische Darstellung der Veröffentlichungen zu den altassyrischen Quellen. Nach einem Abriss der Altassyrischen Geschichte folgt ein Ãberblick zur "anatolischen Situation", der die Städte, lokale Herrscher und die rund vierzig altassyrischen Handelsniederlassungen in Nordmesopotamien und Anatolien behandelt. Ein eigenes Kapitel ist den wichtigen altassyrischen Handelsverträgen gewidmet. Der zweite Teil fasst die jÃ"ngsten Erkenntnisse zur Geschichte Nordsyriens zeitgleich mit der späten Phase des altassyrischen Handels zusammen. Der ausfÃ"hrlichen Untersuchung der Quellen ist ein Appendix der wichtigsten Texte beigefÃ"gt. Das Buch ist durch umfassende Indices erschlossen und enthält eine ausfÃ"hrliche Bibliographie.
Postal and Delivery Services: Delivering on Competition is an indispensable source of information and analysis on the current state of the postal and delivery sector. It offers current insight into strategy, regulation as well as the economics of this sector. Issues addressed include international postal policy, the universal service obligation, regulation, competition, entry, the role of scale and scope economies, the nature and role of cost and demand analysis in postal service, productivity, interaction of law and economics, human resources, transition and reform issues.
There are more than one billion Android devices in use today, each one a potential target. Unfortunately, many fundamental Android security features have been little more than a black box to all but the most elite security professionals—until now. In Android Security Internals, top Android security expert Nikolay Elenkov takes us under the hood of the Android security sys­tem. Elenkov describes Android security archi­tecture from the bottom up, delving into the imple­mentation of major security-related components and subsystems, like Binder IPC, permissions, cryptographic providers, and device administration. You’ll learn: –How Android permissions are declared, used, and enforced –How Android manages application packages and employs code signing to verify their authenticity –How Android implements the Java Cryptography Architecture (JCA) and Java Secure Socket Extension (JSSE) frameworks –About Android’s credential storage system and APIs, which let applications store cryptographic keys securely –About the online account management framework and how Google accounts integrate with Android –About the implementation of verified boot, disk encryption, lockscreen, and other device security features –How Android’s bootloader and recovery OS are used to perform full system updates, and how to obtain root access With its unprecedented level of depth and detail, Android Security Internals is a must-have for any security-minded Android developer.