Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia

Nail Kashaev

No 20225, University of Western Ontario, Departmental Research Report Series from University of Western Ontario, Department of Economics

Abstract: I propose a generalized method of moments type procedure to estimate parametric binary choice models when the researcher only observes degenerate pure choices-based or presence-only data and has some information about the distribution of the covariates. This auxiliary information comes in the form of moments. I present an application based on the data on all COVID-19-positive tests from British Columbia. Publicly available demographic information on the population in British Columbia allows me to estimate the conditional probability of a person being COVID-19-positively tested conditional on demographics.

Keywords: Pure Choice-Based Data; Presence-Only Data; Data Combination; Missing Data; Epidemiology; Novel Coronavirus (search for similar items in EconPapers)
JEL-codes: C2 C81 I19 (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-dcm, nep-dem and nep-ecm
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