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Models of Research and Productivity

  • Julian M. Alston
  • Jennifer S. James
  • Matthew A. Andersen
  • Philip G. Pardey
Chapter
Part of the Natural Resource Management and Policy book series (NRMP, volume 34)

Abstract

In this chapter we develop the structure of our models for estimating the effects of U.S. public agricultural research on U.S. agricultural productivity. We begin by laying out a general model relating research spending to agricultural productivity. Because this general specification includes too many parameters to be estimated individually with any degree of precision, some restrictions must be imposed. A conventional approach is to model productivity as a function of knowledge stocks that are created as a result of past research and can be represented using a distributed lag model defined by a small number of parameters. In this chapter we describe our approach for creating research knowledge stocks, including the specification of the research lag structure and state-to-state (and federal-to-state) spillovers used to construct the knowledge stocks. In later chapters we evaluate the effects of specification choices on our estimates and the implied benefit-cost ratios.

Keywords

Knowledge Stock Trend Coefficient Average Annual Percentage Change Average Annual Percentage Research Spending 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Julian M. Alston
    • 1
  • Jennifer S. James
    • 2
  • Matthew A. Andersen
    • 3
  • Philip G. Pardey
    • 4
  1. 1.Department of Agricultural and Resource EconomicsUniversity of California, DavisDavisUSA
  2. 2.Department of AgribusinessCalifornia Polytechnic State UniversityCAUSA
  3. 3.Department of Agricultural and Applied EconomicsUniversity of WyomingWYUSA
  4. 4.Department of Applied EconomicsUniversity of MinnesotaMNUSA

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