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Many commentators claim that farm subsidies have contributed significantly to the "obesity epidemic" by making fattening foods relatively cheap and abundant and, symmetrically, that taxing "unhealthy" commodities or subsidizing "healthy" commodities would contribute to reducing obesity rates. In...
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Annual data for forty-eight states are used to account for changes in the composition of input and output aggregates over space and time, and thereby to obtain new evidence on changes in inputs, outputs, and productivity in U.S. agriculture. The measures change significantly when we use...
Persistent link: https://www.econbiz.de/10005295246
Reported rates of return to agricultural R&D are generally high, but they are likely to be biased, particularly because of attribution problems-mismatching research benefits with costs. The importance of attribution biases is illustrated here with new evidence for Brazil. During 1981-2003,...
Persistent link: https://www.econbiz.de/10005202300
We use newly constructed state-specific data to explore the implications of common modeling choices for measures of research returns. Our results indicate that state-to-state spillover effects are important, that the research and development lag is longer than many studies have allowed, and that...
Persistent link: https://www.econbiz.de/10009352112
Profits from generic advertising by a producer group often come partly at the expense of producers of closely related commodities. The resulting tendency toward excessive advertising is exacerbated by check-off funding. To analyze this beggar-thy-neighbor behavior we compare a scenario where...
Persistent link: https://www.econbiz.de/10009392700
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The implications of model specification choices for the measurement of demand response to advertising are examined using Australian data. Single-equation models versus complete systems and alternative corrections for autocorrelation are evaluated. Competing advertising efforts by two producer...
Persistent link: https://www.econbiz.de/10009397383
Reported rates of return to agricultural R&D are generally high, but they are likely to be biased, particularly because of attribution problems—mismatching research benefits with costs. The importance of attribution biases is illustrated here with new evidence for Brazil. During 1981–2003,...
Persistent link: https://www.econbiz.de/10009397884