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The daily number of occupied hotel rooms in three large Swedish cities is modelled by an integer-valued and binomial autoregression. The model includes the capacity constraint and price variables are incorporated through the parameters of the model. The model implies a duration of hotel visit...
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ARONSSON T. and Brannas K. (1996) Household work travel time, Reg. Studies 30, 541-548. This study derives and estimates models for the work travel time of each spouse in the household conditional on both spouses' hours of work. The model is estimated using Swedish household data. The own labour...
Persistent link: https://www.econbiz.de/10005491583
Many service industry firms strive hard to fill free capacity in order to cover their costs for a fixed capital stock. This paper presents a time series model where the capacity constraint is an integral part. The integer-valued autoregressive model builds on a simple idea of how daily time...
Persistent link: https://www.econbiz.de/10005584867
The paper advances the log-generalized gamma distribution as a suitable generator of conditional skewness. Based on the NYSE composite daily returns an asMA-asQGARCH model along with skewness dynamics is estimated. The results indicate a skewness that varies between sizeable negative skewness...
Persistent link: https://www.econbiz.de/10005637961
The Integer-valued Moving Average Model (INMA) is advanced to model the number of transactions in intra-day data of stocks. The conditional mean and variance properties are discussed and model extensions to include explanatory variables are offered. Least squares and generalized method of moment...
Persistent link: https://www.econbiz.de/10008674784
The integer-valued AR1 model is generalized to encompass some of the more likely features of economic time series of count data. The generalizations come at the price of loosing exact distributional properties. For most specifications the first and second order both conditional and unconditional...
Persistent link: https://www.econbiz.de/10005511912
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Two approaches to modelling conditional skewness in a nonlinear model for stock returns are studied. It is found that a normal distribution can be rejected. A log-generalized gamma distribution with one time-varying density parameter, and a Pearson IV specification with three parameters are...
Persistent link: https://www.econbiz.de/10005471632