The Use of Generalized Inverses in Restricted Maximum Likelihood PDF Download

Author: Henk Don
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 26

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Author: Frederick van Der Ploeg
Publisher: Academic Press
ISBN: 148327036X
Category : Business & Economics
Languages : en
Pages : 649

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Book Description
Advanced Lectures in Quantitative Economics summarizes some of the efforts of a second-phase program for first-rate candidates with a Master's degree in economics who wish to continue with a doctoral degree in quantitative economics. This book is organized into three main topics—macroeconomics, microeconomics, and econometrics. This text specifically discusses the Neo-Keynesian macroeconomics in an open economy, international coordination of monetary policies under alternative exchange-rate regimes, and prospects for global trade imbalances. The post-war developments in labor economics, introduction to overlapping generation models, and measurement of expectations and direct tests of the REH are also elaborated. This monograph likewise covers the dynamic econometric modeling of decisions under uncertainty and fundamental bordered matrix of linear estimation. This publication is a good reference for students and specialists interested in quantitative economics.

Author: Jayalakshmi Krishnakumar
Publisher: Springer Science & Business Media
ISBN: 3642456472
Category : Business & Economics
Languages : en
Pages : 371

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Book Description
Economists can rarely perform controlled experiments to generate data. Existing information in the form of real-life observations simply has to be utilized in the best possible way. Given this, it is advantageous to make use of the increasing availability and accessibility of combinations of time-series and cross-sectional data in the estimation of economic models. But such data call for a new methodology of estimation and hence for the development of new econometric models. This book proposes one such new model which introduces error components in a system of simultaneous equations to take into account the temporal and cross-sectional heterogeneity of panel data. After a substantial survey of panel data models, the newly proposed model is presented in detail and indirect estimations, full information and limited information estimations, and estimations with and without the assumption of normal distribution errors. These estimation methods are then applied using a computer to estimate a model of residential electricity demand using data on American households. The results are analysed both from an economic and from a statistical point of view.

Author: László Mátyás
Publisher: Springer Science & Business Media
ISBN: 9400901372
Category : Business & Economics
Languages : en
Pages : 944

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Book Description
The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Edwin Kuh (1959), Yair Mundlak (1961), Irving Hoch (1962), and Pietro Balestra and Marc Nerlove (1966), the pooling of cross sections and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific diffi culties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc., have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and pro bit models, latent variable models, duration and count data models, incomplete panels and selectivity bias, point processes, and simulation techniques.

Author: C. Folmer
Publisher: Elsevier
ISBN: 1483290530
Category : Business & Economics
Languages : en
Pages : 360

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Book Description
The reform of the Common Agricultural Policy (CAP) which is now being implemented, reduces the support for a selected number of agricultural products. This book uses welfare theory and applied general equilibrium analysis to assess the medium to long term consequences of this reform, if the new policies remain in place until the beginning of the next century. It analyses the implications of two alternative scenarios: a) a further trade liberalisation covering all commodities; and b) increased protectionism with high prices, constraints on production and export subsidies (financed by the farmers themselves). The study also investigates the implications of financial renationalisation, whereby the European Union member-states would cover the costs of their own support measures.

Author:
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 664

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Author: Mikis D. Stasinopoulos
Publisher: Cambridge University Press
ISBN: 1009410059
Category : Mathematics
Languages : en
Pages : 308

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Book Description
This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields.

Author: Wilfrid Joseph Dixon
Publisher: Univ of California Press
ISBN: 9780520071131
Category : Mathematics
Languages : en
Pages : 784

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Author: Emmanuel Lesaffre
Publisher: CRC Press
ISBN: 1351718673
Category : Medical
Languages : en
Pages : 547

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Book Description
Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book covers: Theory, methods, applications, and computing Bayesian biostatistics for clinical innovative designs Adding value with Real World Evidence Opportunities for rare, orphan diseases, and pediatric development Applied Bayesian biostatistics in manufacturing Decision making and Portfolio management Regulatory perspective and public health policies Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.

Author: Daniel Gianola
Publisher: Springer Science & Business Media
ISBN: 3642744877
Category : Technology & Engineering
Languages : en
Pages : 554

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Book Description
Developments in statistics and computing as well as their application to genetic improvement of livestock gained momentum over the last 20 years. This text reviews and consolidates the statistical foundations of animal breeding. This text will prove useful as a reference source to animal breeders, quantitative geneticists and statisticians working in these areas. It will also serve as a text in graduate courses in animal breeding methodology with prerequisite courses in linear models, statistical inference and quantitative genetics.