Statistical Software Components

From Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
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NETPLOT: Stata module to provide social network visualization: Rense Corten
NETREG: Stata module to perform linear regression of a network response with the exchangeable assumption: Dayou Luo
NETWORK: Stata module to perform network meta-analysis: Ian White
NEWEY2: Stata module to extend newey (HAC covariance estimation): David Roodman
NEWSIMPACT: Stata module to compute news impact curve for ARCH models: Sune Karlsson
NEXT: Stata module to perform regression discontinuity: Mark Long and Jordan Rooklyn
NGRAM: Stata module to provide n-gram feature extractor: Matthias Schonlau
NHARVEY: Stata module to perform Nyblom-Harvey panel test of common stochastic trends: Christopher Baum and Fabian Bornhorst
NICEDATES: Stata module for nice dates, especially for time series graphs: Nicholas Cox
NICEEST: Stata module to export regression table to excel: Mark Soe and Henrik Stovring
NICELABELS: Stata module for nice axis labels for general scales: Nicholas Cox
NICELOGLABELS: Stata module to produce nice axis labels for logarithmic scales: Nicholas Cox
NICEWORDS: Stata module to pay compliments: Joe Long
NJC_STUFF: Stata module documenting Stata programs and help files by Nicholas J. Cox: Nicholas Cox
NLCHECK: Stata module to check linearity assumption after model estimation: Ben Jann
NLCORR: Stata module to compute correlation metric for cross-sample comparisons using non-linear probability models: Ulrich Kohler and Kristian Karlson
NLECDYN_TOOLKIT: MATLAB modules for analyzing nonlinear economic dynamic models easily: Harald Uhlig
NMF: Stata module to perform matrix decomposition using non-negative matrix factorization (NMF): Jonathan Batty
NMISSING: Stata module to show numbers of missing or present values: Nicholas Cox
NNEST: Stata module to perform J test and Cox-Pesaran-Deaton test for nonnested models: Gregorio Impavido
NNIPOLATE: Stata module for nearest neighbour interpolation: Nicholas Cox
NNLS: Stata module to compute non-negative least squares: Giovanni Cerulli
NNMATCH: Stata module to compute nearest-neighbor bias-corrected estimators: Alberto Abadie, Jane Leber Herr, Guido Imbens and David Drukker
NONADD: Stata Program to perform Tukey test for non-additivity: Philip B. Ender
NONLINTST: MATLAB function to perform nonlinearity tests for univariate time series: Shapour Mohammadi
NONLINTSTMLTVAR: MATLAB function to perform nonlinearity tests for multivariate time series: Shapour Mohammadi
NONPARAMREG: MATLAB function to estimate nonparametric regression: Shapour Mohammadi
NONPARAUNITROOT: Shazam routine to perform the non-parametric unit root test statistic developed by Breitung J.& Gourieroux C.,(1997), Journal of Econometrics, Vol.81(1), pp.7-27: Ibrahim Onour
NONPARMDE: Stata module to calculate the minimum detectable effect in randomized experiment: Joel Middleton and John Ternovski
NOPO: Stata module to perform Nopo (2008) matching decompositions: Maximilian Sprengholz and Maik Hamjediers
NOPOMATCH: Stata module to implement Nopo's decomposition: Juan Pablo Atal, Alejandro Hoyos Suarez and Hugo Ñopo
NORM: Stata module to normalize variables: Muhammad Rashid Ansari and Chiara Mussida
NORM_DIST: Stata module providing normal and inverse normal distribution functions with added mean and standard deviation: Ariel Linden
NORMALBVR: Stata module to generate Normal bivariate ridits: Roger Newson
NORMALIZEPATH: Stata module to parse (and normalize) files' paths: George Vega
NORMALRIR: Stata module to calculate ridits of inverse ridits between Normal populations: Roger Newson
NORMTEST: Stata module to perform tests of univariate kurtosis and skewness: Herve M. Caci
NPEIVREG: Stata module for estimation of nonparametric errors-in-variables (EIV) regression and construction of its uniform confidence band: Kengo Kato and Yuya Sasaki
NPINFO: Stata module to merge network-based nodal characteristics: Sebastian Pink and Sabrina Vogel
NPIV: Stata module to perform Nonparametric instrumental-variable regression on a scalar endogenous regressor: Denis Chetverikov, Dongwoo Kim and Daniel Wilhelm
NPROC: Stata module to produce nonparametric receiver operating curves: Philip Price and Fred Wolfe
NPSERIES: Stata module to perform Nonparametric Power Series Estimation: Boris Kaiser
NPSS: Stata module to estimate nonparametric heteroskedastic state space models: Irene Botosaru and Yuya Sasaki
NPSYNTH: Stata module to implement Nonparametric Synthetic Control Method: Giovanni Cerulli
NROW2: Stata module to rename variables as their nth row values: Dejin Xie
NROW: Stata module to rename variables as their nth-row values: Alvaro Carril
NRUNS: Stata module to compute number of runs compared with random shuffles: Nicholas Cox and Nigel Smeeton
NSCALE: Stata module to scale data: JeongHoon Min
NSPLIT: Stata module to split numeric variable into components: Dan Blanchette
NSTAGE: Stata module for multi-arm, multi-stage (MAMS) trial designs for time-to-event outcomes: Patrick Royston, Daniel Bratton, Babak Choodari-Oskooei and Frederike Maria-Sophie Barthel