The Estimation of Choice Probabilities from Choice Based Samples
By Charles F. Manski, Steven R. Lerman. 1977
Subfields: Statistics and Probability, Economics & Operations Research
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In Statistics and Probability
- Bernhard Schölkopf
- Nathan Kallus
- Yu-Xiang Wang
- Kun Zhang
- Krikamol Muandet
- Guido W. Imbens
- Kosuke Imai
- Kenneth Train
In Economics & Operations Research
- Pradeep Chintagunta
- Sridhar Narayanan
- Zachary Chase Lipton
- Eric P. Xing
- Haohan Wang
- G. Bocquého
- Julián Villanueva
- Emma C. Stephens
Citations in the corpus
- Learning Robust Global Representations by Penalizing Local Predictive Power (2019, background): “, 2010a) dating in the ML and statistics literature to early works on covariate shift Shimodaira (2000) with antecedents classic econometrics work on sample selection bias (Heckman, 1977; Manski and Lerman, 1977).”
- Learning Robust Representations by Projecting Superficial Statistics Out (2018, background): “Domain adaptation (Bridle & Cox, 1991; Ben-David et al., 2010a), and (more broadly) transfer learning have been studied for decades, with antecedents in the classic econometrics work on sample selection bias Heckman (1977) and choice models Manski & Lerman (1977).”
- Detecting and Correcting for Label Shift with Black Box Predictors (2018, background): “Heckman (1977) addresses sample selection bias, while (Manski & Lerman, 1977) investigates estimating parameters under choice-based and endogenous stratified sampling , cases analogous to a shift in the label distribution.”
- Disaggregate Behavioral Travel Demand's RUM Side A 30-Year Retrospective (2000, background): “and the distribution of the explanatory variables, with the consequence that treating choice-based data as if it were random is generally statistically inconsistent; see Manski and Lerman (1977). One effective solution is to pool the observations from various strata, form for this pooled sample the ”
- Discrete Choice Methods with Simulation by Kenneth E. Train (2003, methodology): “McFadden (1987) developed a procedure for performing this kind of test with regressions: with the dependent variable being the residuals of the original logit model and the explanatory variables being appropriately specified cross-alternative variables.”
- Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data (2014, methodology): “We then build upon Manski and Lerman’s (1977) random utility model to develop an empirical model of choice.”
- Modeling Ordered Choices: A Primer (2010, unknown): “” [McCullagh (1980)] Brant notes, this is a testable restriction, as we explore shortly.”
- Explaining Rare Events in International Relations (2001, background): “Epidemiologists and biostatisticians usually attribute prior correction to Prentice and Pyke 1979; econometricians attribute the result to Manski and Lerman 1977, who in turn credit an unpublished comment by Daniel McFadden.”