
Statistical models in which the endogenous random variables take only discrete values are known as discrete, categorical, qualitative — choice, or quanta! response models.1 This class of models was originally developed by psychologists and later adapted and extended by economists for describing consumers choices. These models have numerous applications because many behavioural responses are qualitative in nature: a commuter decides whether to take public transit; a consumer decides whether to buy a car; a high school student decides whether to attend a college; a housewife decides whether to participate in the labour force, etc. The focus of these models is usually on the individual decision making units. The estimation of these models is also facilitated by the availability of an increasingly large number of survey data on households and individual firms.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 32 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
