Low-Wage Employment in Portugal: A Mixed Logit Approach In this paper, we examine the determinants of low-wage employment in Portugal. For this purpose, we use a data file of the European Community Household Panel (ECHP) for the years 1998 and 1999. In order to take into account unobserved heterogeneity in the data, a random-parameter logit model is used to analyse the probability of a worker r...

background improving efficiency of health sector is of particular importance in all countries. to reach this end, it is paramount to measure the efficiency. on the other hand, there are many factors that affect the efficiency of health systems. this study aimed to measure the technical efficiency (te) of health systems in economic cooperation organization (eco) countries during 2004–10 and to d...

This paper analyzes tobacco demand within a discrete choice framework. Using binomial and multinomial logit models with random effects, and an unbalanced panel data set of Norwegian households over a twenty year period, we first consider the decisions a) whether to smoke or not, and b) given the choice is to smoke, whether to smoke hand rolled or manufactured cigarettes. Next, we consider a mul...

MARKET RESPONSE MEASUREMENT USING THE MULTINOMIAL, MULTIATTRIBUTE LOGIT CHOICE MODEL by Peter Manning Guadagni Submitted to the Alfred P. Sloan School of Management on May 15, 1980, in partial fulfillment of the requirements for the degree of Master of Science. Universal Product Code (UPC) scanning is the key to a new marketing data source. Unfortunately, most existing marketing models do not h...

We show that a dynamic logit model for binary panel data allowing for state dependence and unobserved heterogeneity may be accurately approximated by a quadratic exponential model, the parameters of which have the same interpretation that they have in the true model. We also show how we can eliminate the parameters for the unobserved heterogeneity from the approximating model by conditioning on...

Panel logit models have proved to be simple and effective tools build early warning systems (ews) for financial crises. But because crises are rare events, the estimation of ews does not usually account country-specific fixed effects, so as avoid losing all information relative countries that never face a crisis. I propose using penalized maximum likelihood estimator fixed-effects logit-based w...

The presence of bubbles in the markets and its formation has been regarded by economists and they have been looking to develop methods that can be recognized by using appropriate method for the formation of bubbles. In this paper, first, the formation of bubbles is tested using the new unit root test known as Phillips test (Generalized Sup ADF test) for 50 companies in the Tehran Stock Exchange...

Most previous studies of binary choice panel data models with Þxed effects require strictly exogeneous regressors, and except for the logit model without lagged dependent variables, cannot provide rate root n parameter estimates. We assume that one of the explanatory variables is independent of the individual speciÞc effect and of the errors of the model, conditional on the other explanatory va...