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Author: Keith Ives

Home > Articles by: Keith Ives

Author: Keith Ives

Home > Articles by: Keith Ives
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Causal Design Cofounder to appear on WeWork Panel for Data in Development

I’m really excited to be a part of the development community that uses WeWork for office space in the US. Next week, WeWork K Street (DC) and Cooper/Smith are hosting a panel discussion on data collection, analysis, and use in international development. The (large) panel includes staff from 8 different wework-based firms all working in data for development.

Come check out the panel, ask some hard questions, and enjoy the free drinks.

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Grad Fellow Notes: STATA Tips

Managing multiple editors in STATA: For this week’s blog post, it seems useful to cover some code I’ve learned for Stata.  This first useful trick allows multiple users who are going to use the same dofile to run that file without having to first customize the filepath code.  By copying the individual usernames and filepaths […]

CategoriesGraduate Fellow STATA By

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 […]

CategoriesAnalysis Statistics By
CategoriesPre-analysis Plan RCT Research

RCT Pre-Analysis Plan: UCTs In Humanitarian Response

Causal Design & Mercy Corps Partner to Investigate Cash Transfers in Humanitarian Response Last year Causal Design partnered with Mercy Corps to investigate the impact of various operational models for dispersing cash grants after a natural disaster. Specifically, we wanted to see if the frequency of cash disbursements, offering of financial literacy training, or sending reinforcing voice messages had […]

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CategoriesUncategorized

Grad Fellow Notes: Creating Professional Tables with Latex and Stata

Many users of Stata looking to visualize statistics opt to output results into MS Excel via commands like -tabout-, -putexcel-, and -outreg-. While Excel offers an intuitive and comprehensive way to create summary tables, it lacks the professionalism of tables commonly found in published journal articles. These tables can be created using Latex, and fortunately, many Stata packages have Latex functionality. This article is a tutorial on how to use Stata’s -tabout- command to create publishable and client-ready tables in Latex. It assumes the reader has a good grasp of Stata and -tabout-, but no knowledge of Latex. The tutorial is not intended to teach general Latex, but only enough Latex to take advantage of Stata’s output commands.

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CategoriesBlog Post Graduate Fellow

Grad Fellow Notes: How to Check If Survey Respondents Are Paying Attention

When companies need to know what their consumer base is thinking, surveying is often the only scalable way to find out this information. Nevertheless, surveys take up a lot of time and can be incredibly boring. As the respondents’ patience gets zapped by the umpteenth question and their willpower dies, they employ coping strategies known as “satisficing”— a fancy way of saying that respondents just try to meet the lowest threshold of acceptability for an answer, rather than making the time to give the best response. This can be seen when questionnaires come back with all answers being “5/5”, “extremely happy”, or other arbitrary patterns that call to question their authenticity and potentially hurt data quality.

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CategoriesBlog Post Graduate Fellow RCT Research

Grad Fellow Notes: The Impact of “No Impact” Evaluations

With the steady rise of the number of impact evaluations (IEs) per year, it should come as no surprise that not every single IE will show a positive impact. The authors of “no impact” evaluations will understandably be worried that their work will not be academically published nor be used for public policy. There is, however, still value in such information. Evidence that a particular program does not work paves the way for alternative interventions to happen. Licona (2017) provides several examples where null results in Mexican education programs encouraged the tweaking of aspects such as selection criteria, consolidation of redundant programs, and budget optimization.

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CategoriesCommunity

Congrats and Fair Winds Kevin

May has already been a month of significant transition (More updates to come!). Unfortunately, we are saying farewell to Kevin Kelsey this week. Kevin was our first research analyst, and his shoes will be hard to fill. While on our team, he made substantial contributions to our evaluations of Mercy Corps’ TabangKO (Philippines) and INVEST (Afghanistan) programs. […]

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IDinsight: “The Future of Impact Evaluation”

With support from the William and Flora Hewlett Foundation, IDinsight published a 3ie Working Paper on the “Future of Impact Evaluation.” We really like the team over at IDinsight and think they are spot-on with this work. Causal Design’s primary focus is on providing decision-focused evaluations like they describe in the paper. Their main arguments are listed […]

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