yields. Using historical county corn yield data for Arkansas and Louisiana and nonparametric methods, this empirical analysis …

We propose a nonparametric approach to the estimation and testing of structural change in time series regression models …. Under the null of a given set of the coefficients being constant, we develop estimators of both the nonparametric and …

This paper relaxes the assumption of homogeneous rates of return to schooling by employing nonparametric kernel …

The relationship between income and nutrient intake is explored. Nonparametric, panel, and quantile regressions are …

restriction model. The second procedure is nonparametric and it tests the specification of a conditional moment restriction model … against a nonnested conditional moment restriction model. The third procedure also is nonparametric but it tests the …

premiums are consistent with equilibrium. Given these implications, we employ a nonparametric estimation technique to document …

-growth nexus in four current Newly Industrialized Countries by nonparametric methodology. Results from Breitung cointegration test … Indonesia. With evidences of nonlinearities from cointegration test, nonparametric causality test based on rank series provides … more reliable results than conventional linear model. The nonparametric causality test indicates a bilateral causality …

We use a nonparametric estimation of the production function to investigate the relation- ship between farm …