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State and Local Population Projections: Methodology and Analysis (The Springer Series on Demographic Methods and Population Analysis) Paperback – May 27, 2008

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Stanley K. Smith (Author)
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Stanley K. Smith (Author), Jeff Tayman (Author),
David A. Swanson (Author)
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David A. Swanson (Author)
5 out of 5 stars 4 customer reviews
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Product Details

  • Series: The Springer Series on Demographic Methods and Population Analysis
  • Paperback: 426 pages
  • Publisher: Springer; 2002 edition (May 27, 2008)
  • Language: English
  • ISBN-10: 0306464934
  • ISBN-13: 978-0306464935
  • Product Dimensions: 6.1 x 1 x 9.2 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (4 customer reviews)
  • Amazon Best Sellers Rank: #929,414 in Books (See Top 100 in Books)

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5.0 out of 5 stars"Population Projections" for those so inclined
By Zurmang Gharwang on May 17, 2001
Format: Hardcover
The new book by Smith, Tayman and Swanson is the first in many years to compile the major components of small-area population projections(data sources, methodology and evaluation) in one place.
The book is particularly good in describing the fundamentals of population analysis - which many other articles, chapters and books on projections neglect. Additionally, important advanced elements of population projections that are not commonly touched on, such as special adjustments, are addressed nicely here.
The book further instructs the reader how to use projections objectively. Too often, forecasts that are not 100% accurate are dismissed. In fact, as the book describes, imperfect forecasts still provide considerable utility in presenting alternatives, promoting agendas, sounding warnings and providing a base for other projections. To this end, the book provides a unique service in not only describing how to make small-area projections, but what to do with them.
In addition to the conventional techniques and concepts described, the authors present the latest developments in the field of projections, including structural models, GIS applications and innovative evaluative techniques.
I would strongly recommend this book as both a textbook - particularly for demography, planning, and economics students, as well as a resource for professional planners, administrators and scientists that rely on population projections.
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5.0 out of 5 starsA very well written book that covers the topic well
By DSP on October 26, 2010
Format: Paperback Verified Purchase
The book does a nice job of describing the nitty gritty of the cohort-component model for population projections. This is the primary method used for developing population projections, but was originally developed for looking at national populations. The authors do an excellent job of discussing the challenges involved in adapting this model for smaller areas (as small as census tracts and block groups) in terms of data availability, data quality, and how the relative importance of the different components of the cohort-component model change as smaller geographic areas are considered. In addition, their advice on how to allocate effort to different components of the model is very helpful, as is their discussion of how and why population projections can vary based on the assumptions made by the analyst (which is where the aspect of "art" comes into play). The only thing I so far think they may have missed is the use of zip+4 codes (specifically the number of those codes used) in an area that can be a fairly inexpensive way of getting up to data information for assessing net migration for that area.
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5.0 out of 5 starssimple straight forward
By David Kao on October 24, 2011
Format: Paperback Verified Purchase
This is a Simple Straight forward book. Tells it like it is. The Book is bit old but keeps these general laws of demographics. I actually have Tayman as a professor so hearing his descriptions are very interesting.
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5.0 out of 5 starsFive Stars
By Shelley Lapkoff on April 26, 2015
Format: Paperback Verified Purchase
Required reading for applied demographers.
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