The hypothesis of induced innovation is tested for U.S. agriculture using a high-quality state-level panel data set and three disparate testing techniques time series, direct econometric, and nonparametric. We find little support for the hypothesis. That conclusion is robust across testing...

Structural models used to measure market power, though widely employed, continue to be criticized. We compare alternative market power tests, including nonparametric and Solow residual-based (SRB) tests. We develop SRB methods that permit nested testing for both monopolistic and monopsonistic...

Consistent aggregation of production data across commodities and Western USA states was tested using Lewbel's generalised composite commodity theorem. The applicability of the generalised composite commodity theorem for testing consistent geographic aggregation was demonstrated and applied to...

The generalized composite commodity theorem (GCCT) and testing procedure is extended to test for consistent aggregation of the United States and Mexican agricultural production data in each category for which earlier tests rejected homothetic separability. Nonrejected GCCT and separability...

To anticipate the likely effects of recent trade agreements with Mexico on the environment and food safety, this paper examines changes in agricultural chemical use. Econometric estimation and simulation suggest that the combined effects of the North American Free Trade Agreement (NAFTA),...

Results of time series tests (including unit root and deterministic and stochastic cointegration tests) imply that a mixture of differenced and cointegrated model specifications are warranted for econometric models of Mexican agricultural supplies and input demands. Test results are sensitive to...