Overview

Course DescriptionThis course provides a comprehensive introduction to STATA, a powerful statistical software widely used in various fields such as economics, sociology, political science, and public health. The course focuses on the practical application of STATA, covering data management, statistical analysis, and interpretation of results. Students will learn how to perform a range of statistical tests, create meaningful visualizations, and draw valid conclusions from their data. Through hands-on exercises and real-world examples, students will develop the skills necessary to effectively use STATA for their research and professional needs.Course ObjectivesTo provide students with a thorough understanding of the STATA interface and its functionalities.To teach students how to import, manage, and manipulate datasets in STATA.To equip students with the knowledge to perform a variety of statistical tests and analyses using STATA.To enable students to interpret and communicate the results of their statistical analyses effectively.To develop students' ability to create and customize data visualizations in STATA.Introduction to STATAOverview of STATAInstallation and setupNavigating the STATA interfaceBasic commands and syntaxData types and structures in STATA Data Management in STATAImporting data from various sources (Excel, CSV, etc.)Data cleaning and preparationData transformation (sorting, merging, reshaping)Handling missing data Descriptive StatisticsSummary statistics (mean, median, mode, etc.)Frequency distributions and cross-tabulationsMeasures of dispersion (variance, standard deviation, etc.)Data visualization (histograms, bar charts, pie charts) Inferential Statistics IHypothesis testingt-tests (one-sample, independent, paired)Chi-square testsAnalysis of variance (ANOVA)Inferential Statistics IICorrelation analysisSimple linear regressionMultiple regression analysisAssumptions and diagnostics for regression modelsAdvanced Statistical TestsLogistic regressionFactor analysisTime series analysisPanel data analysisEstimating Models in STATADetecting MulticollinearitySolution to MulticollinearityStationarity of Time SeriesStationarity of Panel dataConverting non-stationary series to StationaryR-SqaureAuto-CorrelationRemoval of Auto-CorrelationJohansen-cointegration TestGranger Causality TestVAR modelForecasting in VAR modelVECM modelFixed EffectRandom EffectHausman Test Preparing Reports and DocumentationCreating tables and reports in STATADocumenting and annotating your workBest practices for reproducible researchSharing and collaborating on STATA projects Special Topics in STATASurvey data analysisHandling complex survey designsAdvanced econometric techniquesCustomizing STATA with user-written commands Review and Final ProjectReview of key concepts and techniquesQ & A and troubleshootingFinal project presentationsCourse wrap-up and feedback

Skills

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