10:15-10:45 am Friendship-kinship network and access to formal-informal credit in India

Abstract :

We examine the association between the friendship-relative(FR) network and borrowings from market lenders in the context of Indian households. We explore various channels that may affect the observed associations, if any.

10:45-11:15 am  Stata’s Capabilities For Frontier Efficiency Assessment

Abstract :

The development of a comprehensive suite of packages and commands within Stata has empowered researchers to conduct frontier efficiency and productivity assessments effectively.

11:15 am – 11:45 am Network, Exposure and Benefits of Short-Term Training

Abstract :

The MES training had a provision to be delivered through the Industrial Training Institutes (ITIs) which traditionally provide long-term training. It is observed the candidates who received MES training in an ITI setup tend to perform better than those who graduated from other private MES training providers.

11:45 am -12:00 pm Tea

12 pm-1 pm Introduction to the difference in differences in Stata 18

Abstract :

This talk will briefly introduce the concepts and jargon of difference-in-differences (DID) models and show how to fit the models using Stata’s suite of DID commands.

1:00 pm-1:30 pm Understanding Missing Data in COVID-19 Medical Records and its impact on Prognostic Modeling

Abstract :

Multiple imputation was done with the Chained Equations method. Further, convergence, stability and other diagnostics of the imputation were done to identify its appropriateness for model building. Analysis was conducted in Stata software

1:30pm-2:15pm  lunch Break

2:15 pm-2:45 pm Estimates of Households Characterised by Low Pay in Rural and India

Abstract :

We analyse data from first three rounds of Periodic Labour Force Survey and provide estimates of households whose monthly per capita household earnings is below a threshold in India

2:45 pm-3:15 pm Distribution of Employment Opportunities in India

Abstract :

The Indian constitution through its various legislations promotes equal opportunities for all in both public and private employment to ensure fair wages and decent working conditions.

3:30 pm – 4 pm Spatial market integration and price transmission analysis of egg markets in India

Abstract :

The present study analyses the spatial integration of 10 major wholesale egg markets in India, which altogether cater to 90% of egg volume and trade in the country, utilizing the monthly egg price data from January 2009 to December 2022.

3:15 pm-3:30 pm – Tea

4:00 pm – 4: 30 pm Estimation of Demand System Elasticities using STATA

Abstract :

This paper aims to share the experience of estimating of elasticities and analyzing the consumption pattern at the household level. It highlights the use of STATA commands in the estimation and post-estimation of various demand models over the period of two decades in Academia.

4.30 pm – 5.00 pm Impact Of Pre-transplant Hemodynamic On Survival After Heart Transplantation

Abstract :

The outcome of 429 isolated heart transplants performed at a single institution and followed upto 10 years was analysed for the impact of pre transplant hemodynamics on long term survival using STATA 18 with its capabilities in generating Kaplan Meir survival curves, logistic regression, cox regression forest plots and the various graphic capabilities including Margins plots and tables. The advantages of STATA and the comparison with other softwares including R and MATLAB will be discussed.
including Margins plots and tables. The advantages of STATA and the comparison with other softwares including R and MATLAB will be discussed.

5:00 pm Onwards Awards and Closing Ceremony

Description

This course covers how to use Stata for survey data analysis assuming a fixed population. It begins by reviewing the sampling methods used to collect survey data, and then discusses how they act in the estimation of totals, ratios, and regression coefficients. It then covers variance estimation methods implemented in Stata’s survey estimation commands. The course will also cover strata with a single sampling unit, certainty sampling units, subpopulation estimation, and poststratification. Interactive Stata sessions are dispersed between lectures.

Course leader

Chuck Huber is Director of Statistical Outreach at StataCorp LLC and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and at the New York University School of Global Public Health. In addition to working with Stata’s team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses, and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches survey sampling at NYU and introductory biostatistics at Texas A&M, where he previously taught categorical data analysis, survey data analysis, and statistical genetics.

Course topics

• Sampling
• Sampling design characteristics
  • Cluster sampling
  • Stratified sampling
  • Sampling without replacement
• Regression with survey data
• Variance estimation
  • Linearization
  • Balanced repeated replication (BRR)
  • Jackknife
  • Bootstrap
  • Successive difference replication (SDR)
• Special types of sampling units
  • Strata with a single sampling unit
  • Certainty units
• Restricted sample and subpopulation estimation
• Poststratification

Learning outcomes

Attendees of this workshop will walk away with the following knowledge:

• The difference between Stata’s standard estimation commands and svy estimation commands
• How to create SRS and stratified samples from available lists
• How to use Stata’s svyset command to identify the survey characteristics present in the dataset. These characteristics include:
  • Sampling units at each sampling stage
  • Strata at each sampling stage
  • Sampling fractions used in the finite population correction when units are sampled with out replacement at each sampling stage
  • Replication weight variables
  • Poststrata and their associated sizes
• How to handle certainty units
• The available choices for handling strata with one sampling unit
• The difference between restricted sample estimation and subpopulation estimation

Prerequisite

Knowledge of Stata is not required, but attendees are assumed to have some statistical knowledge, such as what is typically covered in an introductory statistics course. This workshop is geared toward data analysis professionals who are not familiar with the survey data features in Stata.