econometric analysis time series (68 Ergebnisse)

Ehemaliges Bibliotheksexemplar mit Stempel innen und Bibliothekssignatur auf Einband in gutem Zustand. Ex-library with stamp and catalogue number on spine. GOOD condition, some traces of use. Sr 421 0860030253 Sprache: Englisch Gewicht in Gramm: 550.

2. ed. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Nf 268b 9781402073687 Sprache: Englisch Gewicht in Gramm: 550.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Zustand: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:079239013X.

Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.6.

Hardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.6.

Zustand: Good. Har/Dis. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Zustand: Used - Very Good. 2000. Hardcover. Very Good.

Paperback. Zustand: Brand New. 148 pages. 9.00x6.00x0.37 inches. In Stock.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1350grams, ISBN:0521814073.

Hardcover. Zustand: New. The present work grew out of my several years of professional and academic learning of the application of time series econometrics in different fields and I have attempted that direction to write this book. For the last three decades so far my knowledge goes, most of the academic research works are mainly concerned with the applications of time series econometrics on the relationship between the two or more macroeconomic variables in different countries on the different time horizon. Different studies have focused on the relationship between macroeconomic variables estimated with the historical dataset, and all these studies have not taken into account the effects of structural changes on the estimated causal relationships which might occur over the historical dataset. Since every economy passes through several structural changes over a period of time, and this may happen due to policy changes, institutional changes, external shocks, changes in social attitudes, and motivations. If the structural changes are not taken into account, the whole analysis and conclusions undertaken in the study may be misleading. I have made an attempt to discuss the effects of structural changes on the estimated causal relationship between the two fiscal variables with case studies and providing more conclusive findings and recommendations to the fiscal authorities in order to curb the budget deficits. This book deals with this issue that can fill an existing and important void.

Hardcover. Zustand: Very Good. First Edition. Bright and clean, firm and square, just a few minor bumps and rubs. Hence a non-text page is stamped 'damaged'. Despite such this book is in better than very good condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Now offered for sale at a special bargain price.

Gebundene Ausgabe. Zustand: Gut. Auflage: New ed of 2 Revised e. 400 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Ohne Schutzumschlag Sprache: Englisch Gewicht in Gramm: 550.

Taschenbuch. Zustand: Neu. Neuware -Time series econometrics has attracted substantial attention in recent years especially with the 2003 Nobel awards to Professors Clive Granger and Robert Granger. Macroeconomists and Statisticians have become increasingly concerned with the study of the sources of economic fluctuations. Accurate and timely information about what is likely to happen to the economy in the future has always been of great value to business decisions and economic policy makers. The goal of most empirical studies in econometrics and other quantitative sciences is to determine whether a change in one variable causes a change in, or helps to predict another variable. Thus, knowing how economic indicators are related (interrelated) is of great importance. Short and long term planning can be done on the basis of computationally sound statistical analysis of past data. Granger causality modelling approach is quite popular in experimental and non-experimental fields which involve some dynamic econometric time series methodologies.This educative,handy book employs Granger causality and Vector Autoregressive Modelling framework,etc in the empirical modelling of seven economic indicators in a developing economy.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.

Hardcover. Zustand: Very Good. No Jacket. 1st Edition. Reprint Edition. Book.

paperback. Zustand: Used; Very Good. Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine.

Zustand: New. In.

Paperback. Zustand: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.

orig.wrappers An ink mark to bottom page-edge. Minor rubbing. VG. 23x15cm, xxi,228 pp., PAPERBACK. "Eric Ghysels and Denise R. Osborn provide a thorough and timely review of the recent developments in the econometric analysis of seasonal economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear nonstationary seasonal stochastic processes. They also cover the latest contributions to the theory and practice of seasonal adjustment, together with its implications for estimation and hypothesis testing. Moreover, a comprehensive analysis of periodic models is provided, including stationary and nonstationary cases. The book concludes with a discussion of some nonlinear seasonal and periodic models. The treatment is designed for an audience of researchers and advanced graduate students" - Publisher's description. An ink mark to bottom page-edge. Minor rubbing. VG.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Eric Ghysels and Denise R. Osborn provide a thorough and timely review of the recent developments in the econometric analysis of seasonal economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear nonstationary seasonal stochastic processes. They also cover the latest contributions to the theory and practice of seasonal adjustment, together with its implications for estimation and hypothesis testing. Moreover, a comprehensive analysis of periodic models is provided, including stationary and nonstationary cases. The book concludes with a discussion of some nonlinear seasonal and periodic models. The treatment is designed for an audience of researchers and advanced graduate students.

Taschenbuch. Zustand: Neu. Neuware -This book reports over a decade's worth of research on the development of empirical response models that have important uses for generating marketing knowledge and improving marketing decisions. Some of its contributions to marketing are the following: 1. It integrates state-of-the art technical material with discussions of its relevance to management. 2. It provides continuity to a research stream over 20 years old. 3. It illustrates how marketing generalizations are the basis of marketing theory and marketing knowledge. 4. It shows how the research can be applied to marketing planning and forecasting. 5. It presents original research in marketing. The book addresses both marketing researchers and marketing managers. This can be done because empirical decision models are helpful in practice and are also based on theories of response. Econometric and time series analysis (ETS) is one of the few areas in marketing where there is little, if any, conflict between the academic sphere and the world of professional practice. Market Response Models is a sequel to Marketing Models and Econometric Research, published in 1976. It is rare for a research-oriented book in market ing to be updated or to have a sequel. Unlike many other methodologies, ETS research in marketing has stood the test of time. It remains the main method for discovering relations among marketing variables.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.

Zustand: New. In.

Hardcover. Zustand: New. In shrink wrap.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - From 1976 to the beginning of the millennium-covering the quarter-century life span of this book and its predecessor-something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It's not just us that we are talking about. This pride must be shared by all of the researchers who pioneered the simple concept that the determinants of sales could be found if someone just looked for them. Of course, economists had always studied demand. But the project of extending demand analysis would fall to marketing researchers, now called marketing scientists for good reason, who saw that in reality the marketing mix was more than price; it was advertising, sales force effort, distribution, promotion, and every other decision variable that potentially affected sales. The bibliography of this book supports the notion that the academic research in marketing led the way. The journey was difficult, sometimes halting, but ultimately market response research advanced and then insinuated itself into the fabric of modern management.