Literature DB >> 19014202

Measuring US pharmaceutical industry R&D spending.

Joseph Golec1, John Vernon.   

Abstract

Government policy debates on pharmaceutical pricing often turn on whether higher drug prices fund greater company-financed R&D spending. In the US, debate breaks down because each side uses a different measure of R&D spending, and the measures are far apart. Government agencies, Congress and consumer groups use government-generated survey data from the National Science Foundation (NSF), and the pharmaceutical industry uses survey data from the Pharmaceutical Research and Manufacturers of America (PhRMA). This issue is also relevant to academic work because some studies use NSF data, and others use PhRMA data. This article illustrates the pros and cons of these survey data series, and offers a more reliable, comprehensive and replicable alternative series, based on Compustat data.

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Year:  2008        PMID: 19014202     DOI: 10.2165/0019053-200826120-00004

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  6 in total

1.  Medical R&D at the turn of the millennium.

Authors:  D E Zinner
Journal:  Health Aff (Millwood)       Date:  2001 Sep-Oct       Impact factor: 6.301

2.  Technology as a 'major driver' of health care costs: a cointegration analysis of the Newhouse conjecture.

Authors:  Albert A Okunad; Vasudeva N R Murthy
Journal:  J Health Econ       Date:  2002-01       Impact factor: 3.883

3.  The pharmaceutical industry--prices and progress.

Authors:  F M Scherer
Journal:  N Engl J Med       Date:  2004-08-26       Impact factor: 91.245

4.  Will lower drug prices jeopardize drug research? A policy fact sheet.

Authors:  Donald W Light; Joel Lexchin
Journal:  Am J Bioeth       Date:  2004       Impact factor: 11.229

5.  The changing structure of the pharmaceutical industry.

Authors:  Iain M Cockburn
Journal:  Health Aff (Millwood)       Date:  2004 Jan-Feb       Impact factor: 6.301

6.  Extraordinary claims require extraordinary evidence.

Authors:  Donald W Light; Rebecca N Warburton
Journal:  J Health Econ       Date:  2005-09       Impact factor: 3.883

  6 in total

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