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Titlebook: Regional Econometric Modeling; M. Ray Perryman,James R. Schmidt Book 1987 Kluwer•Nijhoff Publishing 1987 econometrics

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书目名称Regional Econometric Modeling
编辑M. Ray Perryman,James R. Schmidt
视频video
丛书名称International Series in Economic Modelling
图书封面Titlebook: Regional Econometric Modeling;  M. Ray Perryman,James R. Schmidt Book 1987 Kluwer•Nijhoff Publishing 1987 econometrics
描述This book is the first volume of the International Series in Economic Model­ ing, a series designed to summarize current issues and procedures in applied modeling within various fields of economics and to offer new or alternative approaches to prevailing problems. In selecting the subject area for the first volume, we were attracted by the area to which applied modeling efforts are increasingly being drawn, regional economics and its associated subfields. Applied modeling is a broad rubric even when the focus is restricted to econometric modeling issues. Regional econometric modeling has posted a record of rapid growth during the last two decades and has become an established field of research and application. Econometric models of states and large urban areas have become commonplace, but the existence of such models does not signal an end to further development of regional econ­ ometric methods and models. Many issues such as structural specification, level of geographic detail, data constraints, forecasting integrity, and syn­ thesis with other regional modeling techniques will continue to be sources of concern and will prompt further research efforts. The chapters of this volume
出版日期Book 1987
关键词econometrics
版次1
doihttps://doi.org/10.1007/978-94-009-3267-8
isbn_softcover978-94-010-7966-2
isbn_ebook978-94-009-3267-8Series ISSN 0924-5235
issn_series 0924-5235
copyrightKluwer•Nijhoff Publishing 1987
The information of publication is updating

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Regional Econometric Models: The Forecasting Record improvements that can be made to the models. It is appropriate, however, to occasionally pause to reflect on the actual performance of existing models. Such an analysis can provide insight into the strengths and weaknesses of the models as they are actually used, leading to superior models and improved forecasting performance.
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New Techniques for Determining if a Time Series can be Seasonally Adjusted Reliablyke this decision. However, the diagnostics provided by X-11 and X-11-ARIMA are sometimes inadequate. In this article, we will discuss two new sets of measures that help to determine when a series can be seasonally adjusted reliably by a proposed seasonal adjustment methodology.
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Integrated State-Substate Econometric Modeling: Design and Utilization for Long-Run Economic Analysias. It has been estimated that the income multiplier impact of the HUD budget is 3.6 in the United States as a whole, but only 1.3 in Montana and South Dakota and over 6.0 in Indiana (Ballard, Glickman, and Wendling, 1980).
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