3 citations · 4 across the 4 of their papers we have counts for
4 papers
Births are difficult to predict even with rich survey and full-population register data
Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109
Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a child w…
Social preferences with unstable interactive reasoning: Large language models in economic trust games
Ou Jiamin, Eikmans Emile, Buskens Vincent +2
While large language models (LLMs) have demonstrated remarkable capabilities in understanding human languages, this study explores how they translate this understanding into social…
Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
Elizaveta Sivak, Paulina Pankowska, Adrienne Mendrik +8
The social sciences have produced an impressive body of research on determinants of fertility outcomes, or whether and when people have children. However, the strength of these det…
The effect of measurement error on clustering algorithms
Paulina Pankowska, Daniel L. Oberski
Clustering consists of a popular set of techniques used to separate data into interesting groups for further analysis. Many data sources on which clustering is performed are well-k…