12 packages found (Stata Journal omitted) ----------------------------------------- @net:describe sftfe, from(http://www.econometrics.it/stata)!sftfe from http://www.econometrics.it/stata@ sftfe. Consistent estimation of fixed-effects stochastic frontier models (version 1.2.9 19oct2022). / {cmd: sftfe} fits the following fixed-effects stochastic frontier model: / y_it = alpha_i + beta*X_it + v_it {c 177} u_it / where v_it is a normally distributed error term and u_it is a @net:describe xtdpdbc, from(http://www.kripfganz.de/stata)!xtdpdbc from http://www.kripfganz.de/stata@ 'XTDPDBC': Bias-corrected estimation of linear dynamic panel models / Sebastian Kripfganz, www.kripfganz.de / xtdpdbc implements the bias-corrected estimator of Breitung, Kripfganz, / and Hayakawa (2021) for linear dynamic panel data models with fixed or / random effects. @net:describe caterpillar, from(http://fmwww.bc.edu/RePEc/bocode/c)!caterpillar from http://fmwww.bc.edu/RePEc/bocode/c@ 'CATERPILLAR': module to generate confidence intervals, Bonferroni-corrected confidence intervals, and null distribution / caterpillar takes a set of estimates and est standard errors / se, along with a unique identifier id for each estimate. The / estimates may @net:describe cmp, from(http://fmwww.bc.edu/RePEc/bocode/c)!cmp from http://fmwww.bc.edu/RePEc/bocode/c@ 'CMP': module to implement conditional (recursive) mixed process estimator / cmp estimates multi-equation, mixed process models, potentially / with hierarchical random effects. "Mixed process" means that / different equations can have different kinds of dependent / variables. The choices @net:describe gllamm, from(http://fmwww.bc.edu/RePEc/bocode/g)!gllamm from http://fmwww.bc.edu/RePEc/bocode/g@ 'GLLAMM': program to fit generalised linear latent and mixed models / gllamm fits generalized linear latent and mixed models. These / models include Multilevel generalized linear regression models / (extensions of the simple random intercept models that may be / fitted in Stata using @net:describe randcoef, from(http://fmwww.bc.edu/RePEc/bocode/r)!randcoef from http://fmwww.bc.edu/RePEc/bocode/r@ 'RANDCOEF': module to estimate correlated random effects and correlated random coefficients models / randcoef estimates both the CRE (Correlated Random Effects) and / the CRC (Correlated Random Coefficients) models allowing / several weighting matrices for the latter. The command uses the @net:describe randtreatseq, from(http://fmwww.bc.edu/RePEc/bocode/r)!randtreatseq from http://fmwww.bc.edu/RePEc/bocode/r@ 'RANDTREATSEQ': module for generating treatments in a random sequence for each individual in the sample / randtreatseq generates treatments in a random sequence for each / individual in the sample, thereby reducing the potential for / order effects of multiple treatments. / KW: Multiple @net:describe regoprob, from(http://fmwww.bc.edu/RePEc/bocode/r)!regoprob from http://fmwww.bc.edu/RePEc/bocode/r@ 'REGOPROB': module to estimate random effects generalized ordered probit models / regoprob is a user-written procedure to estimate random effects / generalized ordered probit models in Stata. The actual values / taken on by the dependent variable are irrelevant except that / larger values are @net:describe regoprob2, from(http://fmwww.bc.edu/RePEc/bocode/r)!regoprob2 from http://fmwww.bc.edu/RePEc/bocode/r@ 'REGOPROB2': module to estimate random effects generalized ordered probit models (update) / regoprob2 is a user-written program and an extension of regoprob / (SSC, Stefan Boes) that estimates random effects generalized / ordered probit models for ordinal dependent variables. We added / the @net:describe rho_xtregar, from(http://fmwww.bc.edu/RePEc/bocode/r)!rho_xtregar from http://fmwww.bc.edu/RePEc/bocode/r@ 'RHO_XTREGAR': module to estimate a consistent and asymptotically unbiased autocorrelation coefficient for xtregar fixed-effects or random-effects linear model with an AR(1) disturbance / rho_xtregar estimates the autoregressive parameter for / cross-sectional time-series regression @net:describe xtdpdbc, from(http://fmwww.bc.edu/RePEc/bocode/x)!xtdpdbc from http://fmwww.bc.edu/RePEc/bocode/x@ 'XTDPDBC': module to perform bias-corrected estimation of linear dynamic panel data models / xtdpdbc implements a bias-corrected method-of-moments estimator / for linear dynamic panel data models with fixed or random / effects. Higher-order autoregressive models and unbalanced panel / data @net:describe xthybrid, from(http://fmwww.bc.edu/RePEc/bocode/x)!xthybrid from http://fmwww.bc.edu/RePEc/bocode/x@ 'XTHYBRID': module to estimate hybrid and correlated random effect (Mundlak) models within the framework of generalized linear mixed models (GLMM) / xthybrid estimates generalized linear mixed models that split / the effects of cluster-varying covariates on the outcome variable / into 13 references found in tables of contents ----------------------------------------- @net:from http://fmwww.bc.edu/RePEc/bocode/a/!http://fmwww.bc.edu/RePEc/bocode/a/@ module to estimate models with two fixed effects / module to compute unbiased IV regression / module for scatter plot with linear and/or quadratic fit, automatically annotated / module to provide Gradient Solver for Ahlfeldt & Barr (2022): The economics of skyscrapers / module to @net:from http://fmwww.bc.edu/RePEc/bocode/b/!http://fmwww.bc.edu/RePEc/bocode/b/@ module to account for changes when X2 is added to a base model with X1 / module to plot two graph types which are rooted in Bland-Altman plots using journal and paper percentiles / module to implement a backward procedure with a Rasch model / module to make daily backup of important @net:from http://fmwww.bc.edu/RePEc/bocode/c/!http://fmwww.bc.edu/RePEc/bocode/c/@ module to implement machine learning classification in Stata / module to implement machine learning classification in Stata / module to generate calendar / module to estimate proportions and means after survey data have been calibrated to population totals / module for inverse regression and @net:from http://fmwww.bc.edu/RePEc/bocode/e/!http://fmwww.bc.edu/RePEc/bocode/e/@ module to estimate endogenous attribute attendance models / module to compute Extended Sample Autocorrelation Function / module to perform extreme bound analysis / module to perform Entropy reweighting to create balanced samples / module to perform entropy balancing / module to perform @net:from http://fmwww.bc.edu/RePEc/bocode/g/!http://fmwww.bc.edu/RePEc/bocode/g/@ module to provide graphics schemes for http://fivethirtyeight.com / module for generalised additive models / module to perform game-theoretic calculations / module to fit a two-parameter gamma distribution / module to compute the value of the symmetrical gamma function / module to perform @net:from http://fmwww.bc.edu/RePEc/bocode/h/!http://fmwww.bc.edu/RePEc/bocode/h/@ module to perform Hadri panel unit root test / module to compute Homoskedastic Adjustment Inflation Factors for model selection / module to randomly produce haikus / module to compute homoskedastic adjustment inflation factors for model selection / module to compute @net:from http://fmwww.bc.edu/RePEc/bocode/i/!http://fmwww.bc.edu/RePEc/bocode/i/@ module to import International Aid Transparency Initiative data / module to compute measures of interaction contrast (biological interaction) / module to compute Interaction Effects in Linear and Generalized Linear Models / module that computes models 2 and 3 of the intra-class @net:from http://fmwww.bc.edu/RePEc/bocode/l/!http://fmwww.bc.edu/RePEc/bocode/l/@ module to automatically manage datasets obtained from US Census 2000 and World Development Indicators databases / module to produce syntax to label variables and values, given a data dictionary / module to report numeric variables with values lacking value labels / module to list value labels / @net:from http://fmwww.bc.edu/RePEc/bocode/m/!http://fmwww.bc.edu/RePEc/bocode/m/@ module to implement interpoint distance distribution analysis / module to unabbreviate Global Macro Lists / module to compute the macroF evaluation criterion for multi-class outcomes / module to perform Dickey-Fuller test on panel data / module to create dot plot for summarizing pooled estimates @net:from http://fmwww.bc.edu/RePEc/bocode/p/!http://fmwww.bc.edu/RePEc/bocode/p/@ module to calculate confidence limits of a regression coefficient from the p-value / module to perform Page's L trend test for ordered alternatives / module to create paired datasets from individual-per-row data / module for plots of paired observations / module to import network data in Pajek's @net:from http://fmwww.bc.edu/RePEc/bocode/r/!http://fmwww.bc.edu/RePEc/bocode/r/@ module to compute McKelvey & Zavoina's R2 / module to compute several fit statistics for count data models / module to perform Overall System (NL-SUR) System R2, Adj. R2, F-Test, and Chi2-Test / module to calculate an ordinal explained variation statistic / module to compute System R2, @net:from http://fmwww.bc.edu/RePEc/bocode/t/!http://fmwww.bc.edu/RePEc/bocode/t/@ module to report Mean Comparison for variables between two groups with formatted table output in DOCX file / module to perform Tukey's Two-Way Analysis by Medians / module to produce a one-way table as a matrix / module to handle two-way tables with percentages / module to handle @net:from http://fmwww.bc.edu/RePEc/bocode/x/!http://fmwww.bc.edu/RePEc/bocode/x/@ module to input an extended version of the auto data / module to transform the logit scores into probabilities / module to compute standardized differences for stratified comparisons via R / module to tabulate differences in predicted responses after restricted cubic spline models /