Daniela Valdivia
I am a Ph.D. Candidate in the Department of Economics at Indiana University. My research interests are in experimental and behavioral economics, as well as mechanism design. My current research focuses on belief and choice elicitation in online surveys.
Download my CV here.
Email me at: davaldiv@iu.edu
(Draft Coming Soon)
Survey data are a key source of information in the social sciences and provide valuable insights into individuals’ unverifiable preferences and behaviors. However, their reliability can be questioned, as respondents often treat hypothetical choices differently from real, binding ones. We test a novel mechanism for eliciting unverifiable information, the choice matching mechanism, in a verifiable environment. Additionally, evaluate two critical assumptions for the theoretical incentive compatibility of elicitation methods based on scoring rules, the stochastic relevance and impersonal updating assumptions. The results are puzzling: while choice matching fails to eliminate hypothetical bias, we find evidence supporting both assumptions. A key insight from this study is that subjects not only make different choices in hypothetical environments compared to binding environments, but also hold systematically different beliefs about the distribution of others’ choices.
This paper examines how the order in which decisions are made impacts outcomes in coordination settings. Theoretically, we highlight that outcomes become more predictable and efficient when decisions are made sequentially rather than simultaneously. Experimental evidence supports this prediction, showing the sequential move framework is less sensitive to increases in strategic uncertainty. Additional dynamic measures reveal that the lack of resilience to setbacks is driving coordination failures in the simultaneous environment. Importantly, we find that the sequential structure alters the allocation of strategic uncertainty in a group, shifting most of it to the first-mover.
ECON-M 500, Analytical Methods in Economics (Sample Syllabus)
Instructor of record for 3 sessions
ECON-E 370, Statistical Analysis for Business and Economics (Sample Syllabus)
Instructor of record for 2 sessions and teaching assistant for 1 session
ECON-B 251, Fundamentals of Economics for Business II
Instructor of record for 3 sessions and teaching assistant for 1 session
ECON-B 251 Fundamentals of Economics for Business I
Teaching assistant for 2 sessions
COLL-C 104 Gender Economics
Teaching assistant for 1 session
XE-0156, Fundamentals of Economics (Sample Syllabus in Spanish)
Instructor of record for 3 sessions