Short-Term Research Assistant Service

MPC members can apply to use the services of a 10-hour per week graduate research assistant for a short period of time (up to 40 hours). Priority is given to projects that (a) have a population studies focus, broadly construed; (b) can quickly result in a publication and/or grant proposal; (c) can clearly benefit from short-term research assistance; and (d) do not already have external funding. Preference will be given to junior faculty.

To apply for this service, please send an email to mpctrain@umn.edu and include the following information:

  1. Your name and departmental affiliation

  2. Details about your project: A title and a short (~2 paragraph) description of the overall project's goals and activities

  3. Information about the product that will result (e.g., a publication, a grant proposal, a conference presentation) and when that product will be produced

  4. A statement about current external funding support for the project

  5. A description of the specific activities the research assistant would do and (if not obvious) how they fit into the overall project

  6. The number of weeks the research assistant's services would be needed (at 10 hours per week) and a proposed starting date

Spring 2021 short-term RA will be Applied Economics student Berenger Djoumessi Tiague.

Berenger's Skills and Experiences:

Statistical Packages and skills: Competent in STATA, R. Intermediate knowledge in Machine Learning, and Beginner in  Python, Mathematica, and Excel VBA. I design surveys using different platforms including Qualtrics, World Bank Survey Solutions, and Survey Monkey.

Methods and Experience: I perform rigorous applied econometric analysis including causal inference with linear and non-linear regression techniques. I also perform geospatial data management and analysis in both Stata and R. For example, I have worked on a project that consisted of combining satellite data on flooding with IPUMS-DHS data to look at the causal impacts of large scale floods on women outcomes.
I have taken six Econometrics classes during my Master's degree and Ph.D. including Econometrics Analysis, Big Data Methods, Programming for Econometrics, and Advanced Quantitative Methods Seminar.
I have performed referee services for two journals including the American Journal of Agricultural Economics (AJAE), and I also have experience conducting literature reviews and preparing manuscripts for publication.
 As a former MPC Diversity Fellow, I have been introduced to working with historical census data from IPUMS using an Optical Character Recognition Software.