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STATA Programming Do-files

Complete Stata Programming Dofiles

This collection of STATA do-files expertly processes data from the five waves of the Malawi Integrated Household Surveys conducted since 2004/2005, covering over 11,000 households. These coding scripts generate essential consumption aggregates across categories such as food, non-food items, housing, utilities, health, and education, utilizing the Classification of Individual Consumption According to Purpose (COICOP). The scripts calculate poverty lines using the Paasche Price Index and the Adult Equivalence Factor, effectively identifying poor and ultra-poor households. Additionally, they assess average and median calorie intake per household. The analysis is enhanced with poverty and inequality metrics through the Distributive Analysis Stata Package (DASP) software tools. This comprehensive toolkit supports robust data management, merging multiple datasets, calculating real expenditure aggregates, and generating insightful distribution graphs. Elevate your skills in data programming and management with this powerful resource.

Online Courses

Training

Unlock STATA's full potential with our comprehensive courses designed to transform your approach to household survey data processing and analysis. Dive into the theoretical foundations of household surveys and household economics, drawing insights from Pranab Bardhan and Christopher Udry's seminal work in "Development Economics" (1999). This course will guide you through setting up STATA for efficient data processing, ensuring you are well-acquainted with its graphic user interface for seamless navigation, data management, and analysis.

Our curriculum covers a comprehensive STATA program in estimating food and non-food consumption expenditures from household surveys, providing you with the skills to handle diverse data sets. You'll also learn to estimate agriculture-related and fisheries-related expenditures and consolidate community-related covariates, which is crucial for comprehensive economic assessments.

We emphasize creating covariates from household, agriculture, fisheries, and community surveys, enabling you to generate meaningful insights. Further, you'll master creating real consumption aggregates using the Paasche Price Index and Adult Equivalence Scales, following the guidelines set by Deaton and Zaidi (2002) for welfare analysis.

The course delves into poverty measurement metrics, teaching you how to establish poverty lines and rebase poverty indices. You'll also gain proficiency in computing poverty and inequality indices using the Distributive Analysis Stata Package (DASP), developed by Abderakim Araar and Jean-Yves Duclos (2007), providing a robust framework for microeconomic analysis.

Upcoming Courses

Advanced Regression Analysis Using STATA: Expand your analytical skills with our upcoming course on advanced regression analysis. Covering cross-sectional data, panel data, and time series, this course will equip you with the tools to perform sophisticated statistical analyses and interpret results confidently.
Geospatial Analysis Using STATA: In our forthcoming course, discover the power of geospatial analysis. Learn to integrate spatial data into your research, enhancing your ability to uncover spatial patterns and relationships using STATA.

Join us on Udemy to elevate your data analysis skills and become proficient in STATA programming. Whether you're a beginner or looking to deepen your expertise, our courses offer valuable insights and practical knowledge to advance your career in data analysis.

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Download Processed National Household Survey Data

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Unlock the potential of your research with our meticulously processed dataset from numerous household surveys conducted worldwide. This comprehensive dataset includes detailed consumption aggregates, real consumption aggregates, and a wide array of covariates derived from household, agriculture, fisheries, and community questionnaires. The consumption data is categorized into food, non-food, housing, utilities, health, and education, using the Classification of Individual Consumption According to Purpose (COICOP). Real consumption aggregates are calculated using the Paasche Price Index and Adult Equivalence Scales, providing accurate insights into expenditure patterns adjusted for price changes and household composition.
By choosing this processed dataset, researchers can save significant time and resources that would otherwise be spent on cleaning and organizing raw data. Our dataset ensures consistency and accuracy, allowing you to focus on analysis and interpretation. Like renowned datasets like the World Development Indicators (WDI), our processed data is structured for immediate use, supporting diverse research objectives in economics, social sciences, public policy, and more. With its integration of various modules and sophisticated statistical techniques, this dataset offers deep insights into consumption patterns and socio-economic conditions, enabling robust research and policy development. Empower your studies with data that is ready to drive meaningful conclusions and impactful outcomes.