Code

Adaptations done by Andrew L. Johnson ajohnson@tamu.edu Daisuke Yagi d.yagi@tamu.edu Function to compute the SCKLS estimator of the response y on the data matrix X Function NEEDS the quadprog function in Optimization Toolbox  in the computer To run the example files, you NEED the MATLAB code for the Local Polynomial Estimator we developed. y: the response variable —[...]

Adaptations done by Andrew L. Johnson ajohnson@tamu.edu Daisuke Yagi d.yagi@tamu.edu Function to compute the (unconstrained) local polynomial regression of the response y on the data matrix X Function NEEDS the quadprog function in Optimization Toolbox  in the computer y: the response variable — a column vector of length n X: the data matrix of the predictors (of size[...]

  This file contains the set of GAMS codes that was developed for a GAMS tutorial at EWEPA XIV held in June 2015 in Helsinki Finland. Please see the codes inside the zip file.   Tutorial (files)[...]

  This is the code for Constrained Weighted Bootstrap with y-space objective function written by Daisuke Yagi (d.yagi@tamu.edu). Constrained Weighted Bootstrap is developed by Hall & Huang (2001) and Du et al. (2013). ExperimentSettings.m file is the summary of the setting of Monte Carlo Simulation. You can run this file after you set every parameters for the[...]

  This is the code for Kernel Weighted Convex Regression written by Daisuke Yagi (d.yagi@tamu.edu). We have two versions of KWCR: fixed bandwidth and variable bandwidth (KNN). ExperimentSettings.m file is the summary of the setting of Monte Carlo Simulation. You can run this file after you set every parameters for the experiments. If[...]

The first version of this code was created by Bodhisattva Sen at Columbia University. What is presented here is a slightly adapted version to aid in the estimation of CNLS. Adaptations done by Andrew L. Johnson ajohnson@tamu.edu Jose Luis Preciado jpreciado@tamu.edu Daisuke Yagi d.yagi@tamu.edu Function to compute the CONVEX Regression of the response y on the data[...]

  This file contains the set of GAMS codes for DEA that was developed for a GAMS tutorial at EWEPA XIII held in June 2013 in Helsinki Finland. Please see the introduction of codes inside the zip file.   Download  [...]

    This file contains the set of GAMS codes for CNLS that was developed for a GAMS tutorial at EWEPA XIII held in June 2013 in Helsinki Finland. Please see the introduction of codes inside the zip file.   Download[...]

The first version of this code was created by Bodhisattva Sen at Columbia University. What is presented here is a slightly adapted version to aid in the estimation of CNLS. Adaptations done by Andrew L. Johnson ajohnson@tamu.edu Function to compute the CONVEX Regression of the response y on the data matrix x Function NEEDS the[...]

To run BDMCMC with the Tarlac rice dataset Place all contents of this package on the same folder and make it the active folder in Matlab. BDMCMC_Dummy_Trend_Mono runs the monotonicity-constrained dummy time trend model. BDMCMC_Linear_Trend_Mono runs the monotonicity-constrained linear time trend model. RiceIM contains the dataset scaled to input means (used on the estimation[...]