We present examples based on actual and synthetic datasets to illustrate how simulation methods can mask identification problems in the estimation of discrete choice models such as mixed logit. Simulation methods approximate an integral (without a closed form) by taking draws from the underlying...

Sequential decision making among agents is a noticeable feature in strategic interactions in many subjects. The full estimation of sequential games, however, has been problematic due to the computational burden, especially when the game is large and asymmetric. In this paper, I propose an...

We develop a panel data count model combined with a latent Gaussian spatio-temporal heterogenous state process to analyze monthly severe crimes at the census tract level in Pittsburgh, Pennsylvania. Our data set combines Uniform Crime Reporting data with socio-economic data from the 2000 census....

In econometrics, most null hypotheses are composite, dividing the parame ters into parameters of interest and nuisance parameters. Typically, a composite hypothesis can be tested using two or more testing procedures. Competing testing procedures are commonly compared using size-corrected powers....

In this article, the problem of constructing models of multi-section conveyor-type transport systems using a neural network is considered. The analysis of models of long-distance multi-section transport systems, which are used to design control systems of the flow parameters from the point of...

In this paper, a model of a transport conveyor system using a neural network is demonstrated. The analysis of the main parameters of modern conveyor systems is presented. The main models of the conveyor section, which are used for the design of control systems for flow parameters, are...

Multivariate economic and business data frequently suffer from a missing data phenomenon that has not been sufficiently explored in the literature:b oth the independent and dependent variables for one or more dimensions are missing or absent for some of the observational units. For example, in...

The multi-section transport conveyor model based on the neural network for predicting the output flow parameters is considered. The expediency of using sequential and batch modes of training of a neural network in a model of a multi-section transport conveyor has been investigated. The quality...

The problem of designing a system for optimal operational control of random deviations in the productivity of technological equipment is considered. The synthesized control ensures the synchronization of the productivity of the technological equipment of the production line and asymptotic...