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...

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...

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...

Partial and total factor productivity (TFP) measures of Mexican agriculture are calculated for 1960–90. The long-run effects of research and international transfer of technology on TFP are examined over the 1940-90 period using cointegration procedures. TFP increased at an average annual rate...

Markov Chain Monte Carlo (MCMC) methods are used to estimate a seemingly unrelated regression (SUR) system of input demand functions for U.S. agriculture. Our demand functions have flexible forms and allow for nonrandom technical inefficiency. Concavity constraints are imposed at individual data...

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...