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  • 1
    Online Resource
    Online Resource
    Amsterdam ; : JAI,
    UID:
    almahu_9949068963302882
    Format: 1 online resource (ix, 350 p.) : , ill.
    ISBN: 9781849501422 (electronic bk.) :
    Series Statement: Advances in econometrics ; v. 16
    Content: In the 16th Edition of Advances in Econometrics, we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields and introduce the latest models for analysing marketing data. The papers are representative of the types of problems and methods that are used within the field of marketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing. Given the applied nature of marketing research, measurement and quantitative issues arise frequently. Quantitative marketing tends to rely heavily upon statistics and econometrics. However, quantitative marketing can place a different emphasis upon the problem than econometrics, even when using the same techniques. A basic difference between quantitative marketing research and econometrics tends to be the pragmatism that is found in many marketing studies. Another important motivating factor in marketing research is the type of data that is available. Applied econometrics tends to rely heavily on data collected by governmental organizations. In contrast, marketing often uses data collected by private firms or marketing research firms. Observational and survey data are quite similar to those used in econometrics. However, the remaining types of data, panel and transactional, can look quite different from what may be familiar to econometricians. The automation and computerization of much of the sales transaction process leaves an audit trail that results in huge quantities of data. A popular area of study is the use of scanner data collected at the checkout stand using bar code readers. Methods that work for small data sets may not work well in these larger data sets. In addition, new sources of data, such as clickstream data from a web site, will offer new challenges. This volume addresses these and related issues.
    Note: Econometric models in marketing : editors' introduction / Philip Hans Franses, Alan L. Montgomery -- The role of stated intentions in new product purchase forecasting / Cheng Hsiao, Baohong Sun, Vicki G. Morwitz -- A decision theoretic framework for profit maximization in direct marketing / Lars Muus, Hiek van der Scheer, Tom Wansbeek -- New and improved direct marketing : a non-parametric approach / Racine S. Jeffrey -- Estimating market-level multiplicative models of promotion effects with linearly aggregated data : a parametric approach / Albert C. Bemmaor, Udo Wagner -- Market structure across stores : an application of a random coefficients logit model with store level data / Pradeep Chintagunta, Jean-Pierre Dubé, Vishal Singh -- Econometric analysis of the market share attraction model / Dennis Fok, Philip Hans Franses, Richard Paap -- Reflecting uncertainty about economic theory when estimating consumer demand / Alan L. Montgomery -- Discrete choice models incorporating revealed preferences and psychometric data / Taka Morikawa, Moshe Ben-Akiva, Daniel McFadden -- A study of spurious regression and model discrimination in the generalized bass model / Frank M. Bass, Shuba Srinivasan -- Using stochastic frontier analysis for performance measurement and benchmarking / Leonard J. Parsons -- Analysis of multi-category purchase incidence decisions using IRI market basket data / Siddhartha Chib, P.B. Seetharaman, Andrei Strijnev -- Advances in optimum experimental design for conjoint analysis and discrete choice models / Heiko Gromann, Heinz Holling, Rainer Schwabe.
    Additional Edition: ISBN 9780762308576
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 2
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9960119055502883
    Format: 1 online resource (xiii, 286 pages) : , digital, PDF file(s).
    ISBN: 1-316-73261-4 , 1-316-73068-9 , 1-316-69113-6
    Content: Econometrics can at first appear a highly technical subject, but it can also equip the practitioner with a useful skillset of smart ways to formulate research questions and collect data. Enjoyable Econometrics applies econometric methods to a variety of unusual and engaging research questions, often beyond the realm of economics, demonstrating the great potential of using such methods to understand a wide range of phenomena. Unlike the typical textbook approach, Enjoyable Econometrics follows in the footsteps of Freakonomics by posing interesting questions first before introducing the methodology to find the answers. Therefore, rather than equation-heavy sections based around complex methodologies, the reader is presented with chapters on 'Money' and 'Fashion, Art and Music'. Franses writes in a way that will enthuse and motivate the economics student embarking upon the essential study of econometrics. Indeed, the book shows that econometric methods can be applied to almost anything.
    Note: Title from publisher's bibliographic system (viewed on 20 Jun 2018). , Machine generated contents note: 1. Introduction; 2. Correlation and regression; 3. Money; 4. Financial literacy and numeracy; 5. Postage stamps and banknotes; 6. Fashion, art and music; 7. Academic publications; 8. Trends and fads; 9. The takeaways; Notes, Index.
    Additional Edition: ISBN 1-107-16461-3
    Language: English
    Subjects: Economics
    RVK:
    RVK:
    Keywords: Lehrbuch
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
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  • 3
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almafu_BV013834443
    Format: XIII, 206 S. : graph. Darst.
    Edition: 1. publ.
    ISBN: 0-521-80166-4
    Language: English
    Subjects: Economics
    RVK:
    RVK:
    Keywords: Marketingforschung ; Mathematisches Modell ; Marktforschung ; Mathematisches Modell
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  • 4
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almafu_BV014627008
    Format: X, 280 S. : graph. Darst.
    Edition: 1. publ.
    ISBN: 0-521-58641-0 , 0-521-58404-3
    Note: Includes bibliographical references (p. 261-273) and indexes
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Prognose ; Wirtschaft ; Zeitreihenanalyse ; Zeitreihenanalyse ; Ökonometrisches Modell
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  • 5
    Book
    Book
    Oxford [u.a.] :Oxford Univ. Press,
    UID:
    almahu_BV011014208
    Format: XII, 230 S. : graph. Darst.
    ISBN: 0-19-877454-0 , 0-19-877453-2
    Series Statement: Advanced texts in econometrics
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Zeitreihenanalyse
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  • 6
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9960117361102883
    Format: 1 online resource (xvi, 127 pages) : , digital, PDF file(s).
    ISBN: 1-316-12074-0 , 1-316-12183-6 , 1-139-96332-5
    Content: To what extent should anybody who has to make model forecasts generated from detailed data analysis adjust their forecasts based on their own intuition? In this book, Philip Hans Franses, one of Europe's leading econometricians, presents the notion that many publicly available forecasts have experienced an 'expert's touch', and questions whether this type of intervention is useful and if a lighter adjustment would be more beneficial. Covering an extensive research area, this accessible book brings together current theoretical insights and new empirical results to examine expert adjustment from an econometric perspective. The author's analysis is based on a range of real forecasts and the datasets upon which the forecasters relied. The various motivations behind experts' modifications are considered, and guidelines for creating more useful and reliable adjusted forecasts are suggested. This book will appeal to academics and practitioners with an interest in forecasting methodology.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , English
    Additional Edition: ISBN 1-107-44161-7
    Additional Edition: ISBN 1-107-08159-9
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
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  • 7
    Online Resource
    Online Resource
    Cambridge, UK ; : Cambridge University Press,
    UID:
    almafu_9959231100702883
    Format: 1 online resource (xvi, 280 pages) : , digital, PDF file(s).
    Edition: 1st ed.
    ISBN: 1-107-11898-0 , 1-280-15463-2 , 0-511-11827-9 , 0-511-15217-5 , 0-511-32333-6 , 0-511-75406-X , 0-511-04932-3
    Content: Although many of the models commonly used in empirical finance are linear, the nature of financial data suggests that non-linear models are more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models appropriate for modeling and forecasting economic time series models makes choosing the best model for a particular application daunting. This classroom-tested advanced undergraduate and graduate textbook, first published in 2000, provides a rigorous treatment of recently developed non-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and forecasting financial asset returns and their associated volatility. The models are analysed in detail and are not treated as 'black boxes'. Illustrated using a wide range of financial data, drawn from sources including the financial markets of Tokyo, London and Frankfurt.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Cover; Half-title; Title; Copyright; Dedication; Contents; Figures; Tables; Preface; 1 Introduction; 2 Some concepts in time series analysis; 3 Regime-switching models for returns; 4 Regime-switching models for volatility; 5 Artificial neural networks for returns; 6 Conclusions; Bibliography; Author index; Subject index , English
    Additional Edition: ISBN 0-521-77965-0
    Additional Edition: ISBN 0-521-77041-6
    Language: English
    URL: Volltext  (lizenzpflichtig)
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  • 8
    Book
    Book
    Cambridge [u.a.] :Cambridge University Press,
    UID:
    almahu_BV014479017
    Format: XI, 117 S.
    Edition: 1. publ.
    ISBN: 0-521-52090-8 , 0-521-81769-2
    Language: English
    Subjects: Economics
    RVK:
    RVK:
    Keywords: Ökonometrie ; Einführung ; Fallstudiensammlung ; Einführung ; Fallstudiensammlung
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  • 9
    Book
    Book
    Cambridge [u.a.] :Cambridge Univ. Press,
    UID:
    almafu_BV013255011
    Format: XVI, 280 S. : graph. Darst.
    Edition: 1. publ.
    ISBN: 0-521-77041-6 , 0-521-77965-0
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Nichtlineare Zeitreihenanalyse ; Finanzmathematik ; Mathematisches Modell ; Kapitalanlage ; Rentabilität ; Volatilität ; Nichtlineare Zeitreihenanalyse
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  • 10
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948234305302882
    Format: 1 online resource (xi, 117 pages) : , digital, PDF file(s).
    ISBN: 9780511493133 (ebook)
    Content: In this short and very practical 2002 introduction to econometrics Philip Hans Franses guides the reader through the essential concepts of econometrics. Central to the book are practical questions in various economic disciplines, which can be answered using econometric methods and models. The book focuses on a limited number of the essential, most widely used methods, before going on to review the basics of econometrics. The book ends with a number of case studies drawn from recent empirical work to provide an intuitive illustration of what econometricians do when faced with practical questions. Throughout the book Franses emphasises the importance of specification, evaluation and implementation of models appropriate to the data. Assuming basic familiarity only with matrix algebra and calculus the book is designed to appeal as either a short stand-alone introduction for students embarking on an empirical research project or as a supplement to any standard introductory textbook.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , 1. Introduction -- 2. A few basic tools -- Distributions -- The linear regression model -- Inference -- Some further considerations -- To summarize -- 3. Econometrics, a guided tour -- Practical questions -- Problem formulation -- Data collection -- Choice of an econometric model -- Empirical analysis -- Answering practical questions -- 4. Seven case studies -- Convergence between rich and poor countries -- Direct mail target selection -- Automatic trading -- Forecasting sharp increases in unemployment -- Modeling brand choice dynamics -- Two noneconomic illustrations -- 5. Conclusion -- Always take an econometrics course! -- Econometrics is practice.
    Additional Edition: Print version: ISBN 9780521817691
    Language: English
    URL: Volltext  (lizenzpflichtig)
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