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The increasing importance of empirical analysis in economics highlights the need for efficient ways to bring these skills to the classroom. R Markdown is a new technology that provides a solution by integrating writing, statistical work and computation into a single document. R Markdown benefits students and instructors by streamlining teaching, research, and collaboration. We report on our use of R Markdown in undergraduate teaching, including core courses, electives, and senior theses. We discuss the costs and benefits of adoption, and explain the advantages of R Markdown in teaching reproducibility of empirical work, avoiding time-consuming and error-prone 'cut and paste,' and facilitating a one-stop solution for importing, cleaning, manipulating, visualizing and communicating with data.

Climate change is increasing the frequency of extreme weather events, such as drought and heat waves. In this paper, we assess the impact of drought and high temperatures on the employment outcomes of working-age individuals in South Africa between 2008 and 2017. We merge high-resolution weather data with detailed individual-level survey data on labor market outcomes, and estimate causal impacts using a fixed effects framework. We find that increases in the occurrence of drought reduce overall employment. These effects are concentrated in the tertiary sector, amongst informal workers, and in provinces with a higher reliance on tourism. Taken together, our results suggest that the impacts of climate change will be felt unequally by South Africa's workers.

This paper studies the potential for ratings of seller quality to be influenced by side payments to raters. In a laboratory setting, we find that even modest side payments from sellers to raters have large effects, with the type of rating (favorable or unfavorable) given to a seller determined primarily by how large a monetary transfer the seller makes to the rater. Our results demonstrate that side payments can crowd out a rater's concern for buyers, even in situations where there is no potential for long-term relationship building.(JEL D47, D82, D83)

In economic development and other economics electives, students regularly encounter economic measures of absolute and relative deprivation, from poverty measures like the Foster-Greer-Thorbecke index to measures of distribution like the Gini index. By "doing economics," students practice applying economic measurement to real-world data and develop more general data literacy. The author proposes a series of exercises starting with stylized 10-household economies, proceeding to nationally representative cross-sectional surveys using MS Excel or Google Spreadsheets, and culminating in students applying their acquired data literacy to a team project. The data sources are easily tailored to alternative household surveys in low-and middleincome countries that include the required variables. Students learn data literacy through recognizing the properties of rectangular data, visualizing data appropriately, and creating aggregate economic measures.