Statistical Software Components

From Boston College Department of Economics
Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA.
Contact information at EDIRC.
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PNG2RTF: Stata module to include PNG graphics in RTF documents: Austin Nichols
PNRCHECK: Stata module to verify the check digit in Swedish personal identification number: Nicola Orsini
POBREZAECU: Stata module to predict poverty in Ecuador: Daniel Jaramillo Calderonn and Sergio Guerra
POI2HDFE: Stata module to estimate a Poisson regression with two high-dimensional fixed effects: Paulo Guimaraes
POLAR: Stata module to plot polar coordinates: Joe Canner
POLARSPIKE: Stata module for polar spike graphs: Asjad Naqvi
POLYSPLINE: Stata module to generate sensible bases for polynomials and other splines: Roger Newson
POOLEDSD: Stata module to calculate pooled standard deviation for a continuous variable by a factor variable: David Speed
POPARMS: Stata module for potential outcome parameter estimation: Matias Cattaneo, David Drukker and Ashley Holland
POPSIM: Stata module to simulate completed fertility and birth intervals for two generations: Stephen Cranney
POSTRCSPLINE: Stata module containing post-estimation commands for models using a restricted cubic spline: Maarten Buis
POSTRRI: Stata module to calculate posterior relative risks: Nicola Orsini, Rino Bellocco and Sander Greenland
POSW_POSIS: Stata module to implement the partialling-out estimator based on iterative sure independence screening: David Drukker and Di Liu
POTEST: RATS procedure to perform Phillips-Ouliaris-Hansen test for Cointegration: Tom Doan
POTESTRESIDS: RATS procedure to perform Phillips-Ouliaris-Hansen test for Cointegration on 1st stage residuals: Tom Doan
POVCALNET: Stata module to access World Bank Global Poverty and Inequality measures: Andrés Castañeda, Christoph Lakner, Espen Prydz, Jorge Soler Lopez, Ruoxuan Wu and Qinghua Zhao
POVDECO: Stata module to calculate poverty indices with decomposition by subgroup: Stephen Jenkins
POVERTY: Stata module to calculate poverty measures: Philippe Van Kerm
POVGUIDE2: Stata module to compute Federal Poverty Guidelines by family size and year, 1973-2025: Reginald Hebert
POVGUIDE: Stata module to generate the U.S. Poverty Guideline value for a given family size and year: David Kantor
POVIMP: Stata module to provide poverty estimates in the absence of actual consumption data: Hai-Anh Dang and Minh Nguyen
POVTIME: Stata module to compute aggregate intertemporal poverty measures (poverty in a panel accounting for time): Carlos Gradín
POWER_CONCORD: Stata module to compute power and sample size for Lin's concordance correlation coefficient: Ariel Linden and Lawrence Lin
POWER_DIAGNOSTIC: Stata module to compute power and sample size for sensitivity and specificity of a diagnostic test: Ariel Linden
POWER_ICC: Stata module to compute power and sample size for one-way random-effects intraclass correlation: Ariel Linden
POWER_ITSA: Stata module to compute power for single and multiple-group interrupted time series analysis: Ariel Linden
POWER_KAPPA: Stata module to compute power and sample size for the two-rater kappa statistic with two or more categories: Ariel Linden
POWER_LOA: Stata module to compute power and sample size for limits of agreement (LOA) analysis: Ariel Linden
POWER_ONEROC: Stata module to compute power and sample size for a one-sample ROC test: Ariel Linden
POWER_ROC: Stata module to compute power and sample-size analysis for receiver operating characteristic (ROC) analysis: Ariel Linden
POWER_STEP: Stata module to compute power for a step intervention with AR(1) Error: Ariel Linden
POWER_SWGEE: Stata module to compute power (under both a Z and t distribution) for cluster randomized stepped wedge designs: John A. Gallis, Xueqi Wang, Paul J. Rathouz, John S. Preisser, Fan Li and Elizabeth L. Turner
POWER_TWORATES_ZHU: Stata module to calculate sample size or power for a two-sample test of rates: Mark Chatfield
POWER_TWOROC: Stata module to compute power and sample size for a two-sample (independent or paired) ROC test: Ariel Linden
POWERCAL: Stata module to perform general power and sample size calculations: Roger Newson
POWERCLUS: Stata module to calculate sample size and/or cluster size for cluster designed studies: Joanne M. Garrett
POWERMAP: Stata module to create power heat maps for experimental design using multiple periods: Cristhian Pulido
POWERQ: Stata module to calculates posterior probabilities for heterogeneity in a meta-analysis: Nikolaos Patsopoulos and Tiago V Pereira
POWERSIM: Stata module for simulation-based power analysis for linear and generalized linear models: Joerg Luedicke
PPML: Stata module to perform Poisson pseudo-maximum likelihood estimation: João Santos Silva and Silvana Tenreyro
PPML_FE_BIAS: Stata module to provide bias corrections for Poisson Pseudo-Maximum Likelihood (PPML) gravity models with two-way and three-way fixed effects: Thomas Zylkin
PPML_PANEL_SG: Stata module to estimate "structural gravity" models via Poisson PML: Thomas Zylkin
PPMLHDFE: Stata module for Poisson pseudo-likelihood regression with multiple levels of fixed effects: Sergio Correia, Paulo Guimaraes and Thomas Zylkin
PPPLOT: Stata module for P-P plots: Nicholas Cox
PPROB: Stata Program to compute poisson probabilities: Philip B. Ender
PPSCHROMY: Stata module to draw sample with probability proportionate to size, using Chromy's method of sequential random sampling: Jonathan Mendelson
PPSSAMPFORD: Stata module to draw sample with probability proportionate to size, without replacement, using Sampford's method: Jonathan Mendelson
PPUNIT: RATS procedure to perform Phillips-Perron Unit Root test: Tom Doan
PQ: Stata module to read, write, and manage Parquet files in Stata: Jonathan Rothbaum
PRE: Stata module to calculate the proportional reduction in errors accomplished by an estimated model: Paul Millar