Statistical Software Components

From Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

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JQTE: Stata module providing Journal Navigation Tool for Journal of Quantitative & Technological Economics: Wang Qiang
JRULE: Stata module to detect model misspecifications in SEM: Julian Aichholzer
JSONIO: Stata module for I/O operations on JSON data: Billy Buchanan
JULIA: Stata module to provide interface to Julia: David Roodman
JWDID: Stata module to estimate Difference-in-Difference models using Mundlak approach: Fernando Rios-Avila, Arne Nagengast and Yoto Yotov
KALPHA: Stata module to compute Krippendorff's Alpha-Reliability: Daniel Klein
KANOM: Stata module to estimate Krippendorff's alpha for nominal variables: Pablo Mitnik
KAPLANSKY: Stata module to graph examples of distributions of varying kurtosis: Nicholas Cox
KAPPA2: Stata module to produce Generalizations of weighted kappa for incomplete designs: Javier Lazaro, Javier Zamora, Victor Abraira and Alexander Zlotnik
KAPPAETC: Stata module to evaluate interrater agreement: Daniel Klein
KAPPALATE: Stata module to estimate the local average treatment effect (LATE) using Abadie's kappa approach and other weighting estimators: Selver Uysal, Tymon Słoczyński and Jeffrey Wooldridge
KAPPREVI: Stata module to plot the dependence of kappa statistic on true prevalence: Nicola Orsini and Debora Rizzuto
KAPUTIL: Stata module to generate confidence intervals and sample size calculations for the kappa-statistic: David Harrison
KATEGO: Stata module to split a continuous numerical variable in custom categories: Andres L Gonzalez Rangel
KDBOX: Stata module to generate kernel density plot with boxplot: Philip B. Ender
KDENS2: Stata module to estimate bivariate kernel density: Christopher Baum
KDENS: Stata module for univariate kernel density estimation: Ben Jann
KDMANY: Stata module to perform kernel density estimation for several variables: Stanislav Kolenikov
KEEPORDER: Stata module to keep and order a set of variables: James Feigenbaum
KEEPVAR: Stata module to keep a list of variables in the order of their appearance in the list: P. Wilner Jeanty
Kernel Density Code: Yuriy Tchamourliyski
KERNEL: Stata module to compute various kernels: Florian Wendelspiess Chávez Juárez
KERNLDEN2D: MATLAB function to estimate bivariate empirical kernel density function: Shapour Mohammadi
KERNREG1: Stata module to compute kernel regression (Nadaraya-Watson estimator): Xavi Ramos, Isaías Salgado-Ugarte, Makoto Shimizu and Toru Taniuchi
KERNREG2: Stata module to compute kernel regression (Nadaraya-Watson estimator): Nicholas Cox, Isaías Salgado-Ugarte, Makoto Shimizu and Toru Taniuchi
KEYBY: Stata module to key the dataset by a variable list: Roger Newson
KEYPLOT: Stata module to generate scatter plot with keys in user-chosen positions: Nicholas Cox
KFOLDCLASS: Stata module for generating classification statistics of k-fold cross-validation for binary outcomes: Ariel Linden
KHB: Stata module to decompose total effects into direct and indirect via KHB-method: Ulrich Kohler and Kristian Karlson
KINKYREG: Stata module to perform kinky least squares estimation and inference: Sebastian Kripfganz and Jan Kiviet
KIT_LIVINGINCOME: Stata module providing Tables and Bar charts of the Gap to the Living Income Benchmark: Marcelo Tyszler and Carlos de los Rios
KITCHENSINK: Stata module to return the model with the highest number of statistically significant predictors: Francisco (Paco) Perales
KLDBRECODE: Stata module that provides crosswalk tables for translations between German KldB and ISCO: Hans Gerhardt and Anneke Kappes
KMATCH: Stata module module for multivariate-distance and propensity-score matching, including entropy balancing, inverse probability weighting, (coarsened) exact matching, and regression adjustment: Ben Jann
KMEST: Stata module to compute Kaplan-Meier survival probabilities as estimation results: Roger Newson
KMSENSPEC: Stata module to estimate sensitivity, specificity and predictive values from Kaplan-Meier curves: Roger Newson
KNAPSACK: Stata module to solve the knapsack problem: Benjamin Daniels
KOBO2STATA: Stata module to create labelled Stata datasets from KoboToolbox: Felix Schmieding
KOENKER: Stata module to perform Koenker/White detailed test for heteroskedasticity: Christopher Baum
KONFOUND: Stata module to quantify robustness of causal inferences: Kenneth A. Frank and Ran Xu
KOTLARSKI: Stata module to execute deconvolution kernel density estimation and produce a robust construction of its uniform confidence band: Kengo Kato, Yuya Sasaki and Takuya Ura
KOUNTRY: Stata module to standardize country names across various datasets: Rafal Raciborski
KPSS: RATS procedure to perform KPSS (Kwiatowski, Phillips, Schmidt, and Shin) stationarity test: Tom Doan
KPSS: Stata module to compute Kwiatkowski-Phillips-Schmidt-Shin test for stationarity: Christopher Baum
KR20: Stata module to calculate Kuder-Richardson coefficient of reliability: Herve M. Caci
KRIPPALPHA: Stata module to compute Krippendorff's alpha intercoder reliability coefficient: Alexander Staudt and Mona Krewel
KRLS: Stata module to perform Kernel–Based Regularized Least Squares: Jeremy Ferwerda, Jens Hainmueller and Chad Hazlett
KSCPOSTDRAW: RATS procedure to draw from posterior density needed in stochastic volatility model: Tom Doan
KSI: Stata module to compute Krugman specialization index: Muhammad Rashid Ansari
KSMIRNOV2VAR: Stata module to perform the Kolmogorov-Smirnov test of the equality of distributions for two variables: Michael Makovi