Causal Design

CategoriesAnalysis Blog Post Research

Doing Business on the Navajo Nation: A Comprehensive Look at the Business Environment on the Navajo Nation

The Navajo Nation Context The Navajo Nation is sovereign territory with over 250,000 Navajo people occupying 27,000 square miles of the Colorado Plateau—spanning the states of Arizona, New Mexico, and Utah. Driving through Diné Bikéyah, or Navajoland, you will see stunning southwestern landscapes rich with a cultural history sacred to the Diné people. What you […]

CategoriesAnalysis Research Resilience

Resilience Measurement Research

Our partners at Mercy Corps referenced some research that ODI recently did on real-time resilience measurement and analysis (see paper here) in Myanmar. It’s not everyday that you can track resilience measurement every two months for a panel of 1,200 households.

Good resilience measures can sometimes be a moving target, so any research that can be used to reinforce good thinking and expand beyond static binary is certainly welcome.

CategoriesAnalysis Research Statistics

Grad Fellow Notes: Interaction Terms in STATA

While using hashtags is simpler than generating the interaction term as a new variable, there is a necessary rule to remember: use the variable prefixes. In Stata, -i.[variable]- indicates that the variable is categorical, and -c.[variable]- indicates a continuous variable. Because the hashtag code assumes the variables in the interaction term are categorical, it is necessary to define numerical variables as numerical with the -c.- prefix.
Wage = β0 + β1Education + β2Minority + β3Education*Minority + ε

Linear Probability Models

Introduction It is often the case in Impact Evaluation that we have a need to analyze binary, qualitative variables such as savings behavior (saves vs. does not save), voting behavior (votes vs. does not vote), or gender (male vs. female). In general, we are interested in whether a condition exists or does not exist, rather […]