Models of Research and Productivity

Julian Alston, Jennifer S. James (), Matthew A. Andersen () and Philip Pardey
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Jennifer S. James: California Polytechnic State University
Matthew A. Andersen: University of Wyoming

Chapter Chapter 9 in Persistence Pays, 2010, pp 271-311 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-1-4419-0658-8_9

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