[PDF] Econometric Methods With Applications In Business And Economics eBook

Author : Christiaan Heij
Publisher : OUP Oxford
Page : 816 pages
File Size : 44,88 MB
Release : 2004-03-25
Category : Business & Economics
ISBN : 0191608408

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Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a 'learning by doing' approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). · Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. · Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. · Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. · Derivations and theory exercises are clearly marked for students in advanced courses. This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics.

Author : C. Heij
Publisher : Oxford University Press
Page : 814 pages
File Size : 36,47 MB
Release : 2004-03-25
Category : Business & Economics
ISBN : 0199268010

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Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a 'learning by doing' approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). • Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. • Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. • Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. • Derivations and theory exercises are clearly marked for students in advanced courses. This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics.

Author : Giuseppe Arbia
Publisher : Springer Science & Business Media
Page : 283 pages
File Size : 31,5 MB
Release : 2008-11-14
Category : Business & Economics
ISBN : 3790820709

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Spatial Econometrics is a rapidly evolving field born from the joint efforts of economists, statisticians, econometricians and regional scientists. The book provides the reader with a broad view of the topic by including both methodological and application papers. Indeed the application papers relate to a number of diverse scientific fields ranging from hedonic models of house pricing to demography, from health care to regional economics, from the analysis of R&D spillovers to the study of retail market spatial characteristics. Particular emphasis is given to regional economic applications of spatial econometrics methods with a number of contributions specifically focused on the spatial concentration of economic activities and agglomeration, regional paths of economic growth, regional convergence of income and productivity and the evolution of regional employment. Most of the papers appearing in this book were solicited from the International Workshop on Spatial Econometrics and Statistics held in Rome (Italy) in 2006.

Author : Paolo Postiglione
Publisher : CRC Press
Page : 287 pages
File Size : 11,51 MB
Release : 2021-12-22
Category : Technology & Engineering
ISBN : 1498766838

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Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics. This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data. This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types. The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.

Author : Badi Hani Baltagi
Publisher : Springer Science & Business Media
Page : 426 pages
File Size : 21,60 MB
Release : 2002
Category : Business & Economics
ISBN : 9783540435013

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As well as specification testing, Gauss-Newton regressions and regression diagnostics. In addition, the book features a set of empirical illustrations that demonstrate some of the basic results. The empirical exercises are solved using several econometric software packages.

Author : Orley Ashenfelter
Publisher :
Page : 328 pages
File Size : 46,41 MB
Release : 2003
Category : Business & Economics
ISBN :

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Every major econometric method is illustrated by a persuasive, real life example applied to real data. * Explores subjects such as sample design, which are critical to practical application econometrics.

Author : Giovanni Cerulli
Publisher : Springer
Page : 319 pages
File Size : 42,39 MB
Release : 2015-05-08
Category : Business & Economics
ISBN : 3662464055

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This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, followed by a practical estimation of the treatment effects. By using both real and simulated data, readers will become familiar with evaluation techniques, such as regression-adjustment, matching, difference-in-differences, instrumental-variables and regression-discontinuity-design and are given practical guidelines for selecting and applying suitable methods for specific policy contexts.

Author : Joshua Chan
Publisher : Cambridge University Press
Page : 491 pages
File Size : 49,53 MB
Release : 2019-08-15
Category : Business & Economics
ISBN : 1108423388

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Illustrates Bayesian theory and application through a series of exercises in question and answer format.

Author : Richard S. Conway Jr.
Publisher : Springer Nature
Page : 276 pages
File Size : 27,75 MB
Release : 2022-04-23
Category : Business & Economics
ISBN : 3030766462

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This textbook offers an introduction to empirical regional economics, including a comprehensive and systematic overview of the fundamentals, history, development, and applications of economic base models. It not only provides a sound basis for regional economics and regional economic analysis, but it also includes numerous applications of the underlying theory. The book has an empirical orientation, highlighting the value of observation and testing in order to explain regional economic behavior. Theory plays an important role in this study, but it is only a starting point. The book is divided into three parts: the first discusses the economic base theory of regional growth and the empirical evidence supporting it, while the second part covers the specification and application of four increasingly complex regional economic models: the economic base model, the input-output model, the interindustry econometric model, and the structural time-series model. Lastly, the third part presents forty-eight regional economic case studies organized under seven headings, including economic cycles, economic policy, and regional forecasting. Given its scope, the book appeals to upper-undergraduate and graduate students majoring in economics, economic geography, and business, as well as to anyone in the private or public sector interested in gaining a better understanding of practical methods of regional economic forecasting and analysis. For additional course material, please check the author's website: https://www.empiricalregionaleconomics.com/