Partial derivatives have a special place in economics since the marginal revolution of the 1850s. We present results from multivariate partial derivative estimates using nonlinear non-parametric regressions in a finite difference method, accessible via the R-package NNS. Numerical partial...

Certain lawyers are asking the president-elect Trump and family to sell all his assets including vast world-wide real estate at fire-sale prices and place the proceeds in a blind trust or US Treasury bonds. This will be very disruptive, unfair and may discourage future global entrepreneurs from...

Karl Pearson developed the correlation coefficient r(X,Y) in 1890s vastly underestimates dependence between two series. Vinod(2014} develops new generalized correlation coefficients so that when r*(Y|X) r*(X|Y) then X is the "kernel cause'' of Y. Vinod (2015) reports simulations favoring kernel...

Theil (1968) proposed a transformation of regression residuals so that they are best (minimizes the trace of its covariance matrix), linear, unbiased and subject to the constraint that its covariance matrix is scalar (BLUS) in the sense that it is proportional to the identity matrix. Despite...

Usual correlations assume linearity. If new generalized correlations satisfy r*(Y |X) r*(X|Y ), X better predicts Y than vice versa. Then we say that X "causes" Y . Thus, Vinod (2013) revives Granger's instantaneous causality concept. Mooij et al. (2014) and their references seem unaware of...

Karl Pearson developed the correlation coefficient r(X,Y) in 1890's. Vinod (2014) develops new generalized correlation coefficients so that when r*(Y|X) r*(X|Y) then X is the "kernel cause" of Y. Vinod (2015a) argues that kernel causality amounts to model selection between two kernel...

When does an entire income distribution f(x2) dominate f(x1)? When can we comprehensively say that f(x2) is ``richer'' than f(x1)? Anderson (1996) proposed a nonparametric quantification for pair-wise welfare-ordering of two countries by their entire income distributions. His algorithm readily...

Volcker Rule suggests a break-up of 'too big to fail' financial institutions to prevent future costly bailouts and great recessions. We need to (i) regulate derivative trading to make it more transparent, (ii) fix conflicts of interest in ratings agencies, (iii) ban shadow-banking and...

This paper considers estimation situations where identification, endogeneity and non-spherical regression error problems are present. Instead of always using GMM despite weak instruments to solve the endogeneity, it is possible to first check whether endogeneity is serious enough to cause...