In this paper we examine theoretically and by simulation whether or not unobserved heterogeneity independent of the included regressors is really an issue in logit, probit and loglog models with both binary and fractional data. We found that unobserved heterogeneity: (i) produces an attenuation bias in the estimation of regression coefficients; (ii) is innocuous for logit estimation of average ...

Within forest growth modeling LOGIT models are used to predict individual tree mortality. In this paper we present, Multi-Layer Perceptron, Learning Vector Quantization and Cascade Correlation networks as different formalisms for mortality predictions. The data set for parameterizing the LOGIT model and training the different neural network types comes from the Austrian National Forest Inventor...

Overview: Categorical Data and Graphics Methods for discrete distributions – testing goodness of fit Hanging rootograms Robust distribution plots Methods for two-way frequency tables – understanding association Fourfold displays Sieve diagrams Mosaic displays and loglinear models for n-way tables Mosaic displays Mosaic matrices Correspondence analysis and MCA Logistic and logit regression Logit...

Mixed logit is a highly flexible model that can approximate any random utility model. In this paper, two kinds of mixed multinomial logit models were considered. The main aim was to introduce a locally D-optimal criterion to obtain an optimal combination of the levels of attributes for producing alternatives and an optimal combination of alternatives in choice sets. Thus, a design including cho...

Exome sequencing is becoming a standard tool for mapping Mendelian disease-causing (or pathogenic) non-synonymous single nucleotide variants (nsSNVs). Minor allele frequency (MAF) filtering approach and functional prediction methods are commonly used to identify candidate pathogenic mutations in these studies. Combining multiple functional prediction methods may increase accuracy in prediction....

The main purpose of this paper is to investigate the impact of gender inequality in education on rural poverty in Pakistan using Logit regression analysis on primary data sets. It is concluded that gender inequality in education has adverse impact on rural poverty. The empirical findings suggest that female-male enrolment ratio, female-male literacy ratio, Female-male ratio of total years of sc...

This paper proposes a proportional odds model to combine systemic and non-systemic risk for prediction of default and prepay performance in cohorts of booked loan accounts. We assume that performance odds is proportional to two independent factors, one based on age-dependent systemic, possibly external, global disruptions to a cohort of individual accounts, the other on traditional non-systemic...

4 Subjective equivalence scales 11 4.1 Qualitative questions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.2 Ordered logit models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.3 A subjective equivalence scale model for France . . . . . . . . . . . . . . . . . . 12 4.4 The cost of a child . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...

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...

abstract according to official statistics, domestic production of edible oils provides only less than 10 percent of the country's consumption needs, and therefore every year a significant amount of crude and prepared edible oils and fats is imported to the country spending a considerable amount of foreign exchange. over the past years rapeseed, as a new product, has been implemented by a limite...