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Within the context of the firm location choice problem, Guimara?es et al. (2003) have shown that a Poisson count regression and a conditional logit model yield identical coefficient estimates. Yet, the corresponding interpretation differs since these discrete choice models reflect polar cases as...
Persistent link: https://www.econbiz.de/10009702859
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Logit and probit models are widely used in empirical sociological research. However, the widespread practice of comparing the coefficients of a given variable across differently specified models does not warrant the same interpretation in logits and probits as in linear regression. Unlike in...
Persistent link: https://www.econbiz.de/10014206176
In a national ballot in 2009, Swiss citizens surprisingly approved an amendment to the Swiss constitution to ban the further construction of minarets. The ballot outcome manifested reservations and anti-immigrant attitudes in regions of Switzerland which had previously been hidden. We exploit...
Persistent link: https://www.econbiz.de/10011967385
In a national ballot in 2009, Swiss citizens surprisingly approved an amendment to the Swiss constitution to ban the further construction of minarets. The ballot outcome manifested reservations and anti-immigrant attitudes in regions of Switzerland which had previously been hidden. We exploit...
Persistent link: https://www.econbiz.de/10012162052
Persistent link: https://www.econbiz.de/10013273998
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A measurement error model is a regression model with (substantial) measurement errors in the variables. Disregarding these measurement errors in estimating the regression parameters results in asymptotically biased estimators. Several methods have been proposed to eliminate, or at least to...
Persistent link: https://www.econbiz.de/10003135841
We discuss regression models for ordered responses, such as ratings of bonds, schooling attainment, or measures of subjective well-being. Commonly used models in this context are the ordered logit and ordered probit regression models. They are based on an underlying latent model with single...
Persistent link: https://www.econbiz.de/10002746134
In this study a CHAID-based approach to detecting classification accuracy heterogeneity across segments of observations is proposed. This helps to solve some important problems, facing a model-builder: 1. How to automatically detect segments in which the model significantly underperforms? 2. How...
Persistent link: https://www.econbiz.de/10014046481