Recent research suggests that rates of extreme poverty, commonly defined as living on less than $2/person/day, are high and rising in the United States. We re-examine the rate of extreme poverty by linking 2011 data from the Survey of Income and Program Participation and Current Population...

This paper explores the realities of disclosure risks in the current big data landscape, examining implications for individuals, society, and the evolving ethical landscape. One these realities is pervasive use of dark patterns in data collection. Dark patterns are user interfaces crafted to...

Statistical agencies have a dual mandate to provide accurate data and protect the privacy and confidentiality of data subjects. These mandates are fundamentally at odds and therefore must be balanced: more accurate data reduces privacy, while privacy protections introduce error that reduces...

Research on privacy enhancing approaches for sharing data has grown significantly over the past two decades. This increased interest has led to extensive theoretical and methodological research, but the number of practical applications of privacy enhancing technologies has lagged far behind....

This chapter will cover recent research in historical economics that uses ethnographic data and data from surveys and lab experiments. The study of historical economics, particularly outside of non-Western countries, has been constrained by availability of historical data. However, recent work...

Primary historical sources are often by-passed for secondary sources due to high human costs of accessing and extracting primary information-especially in lower-resource settings. We propose a supervised machine-learning approach to the natural language processing of Chinese historical data. An...

In this paper, we propose an approach for evaluating the trade-offs inherent in different approaches used to match Current Population Survey (CPS) respondents across various CPS surveys. Because there is some measurement error in both the variables used to identify individuals over time and in...

Economic data engineering deliberately designs novel forms of data to solve fundamental identification problems associated with economic models of choice. I outline three diverse applications: to the economics of information; to life-cycle employment, earnings, and spending; and to public policy...

Time use data facilitate deeper understanding of individual labor supply choices, especially for women, who are more likely to engage in unpaid care and home production. However, traditional time use data collection methods are time-consuming, expensive and susceptible to significant attrition....