Induced Innovation in U.S. Agriculture: Time‐series, Direct Econometric, and Nonparametric Tests
使用高质量州级面板数据，通过时间序列、直接计量经济学和非参数三种方法检验美国农业中的诱导创新假说，结果不支持该假说，且结论稳健。
Abstract 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 techniques. However, as with all empirical tests of this hypothesis conducted to date, ours focus only on the demand side of the hypothesis. The hypothesis could have been rejected simply because the marginal cost of developing and implementing input‐saving technologies for the relatively expensive inputs is greater than for the relatively cheap inputs.