This work is related to the studying of poverty dynamics and the analysis of the socio-demographic factors influencing it. We have chosen a fuzzy and multidimmensional approach in order to define two different poverty measures. A panel regression model has been estimated and particular attention has been paid to the treatment of the unobservable heterogeneity among longitudial units. The specif...

This paper extends the panel threshold regression of Hansen (1999) and Kourtellos, Stengos and Tan (2007) to allow for endogeneity of the threshold variable. We consider the static linear panels with fixed effect. The modified concentrated two-stage least square methods that are based on inverse Mills ratio bias correction terms are proposed to estimate threshold parameters. Our estimators are ...

This paper derives several Lagrange Multiplier tests for the panel data regression model wih spatial error correlation. These tests draw upon two strands of earlier work. The Þrst is the LM tests for the spatial error correlation model discussed in Anselin (1988, 1999) and Anselin, Bera, Florax and Yoon (1996), and the second is the LM tests for the error component panel data model discussed in...

New panel data estimators are proposed for logit and complementary loglog fractional regression models. The standard specifications of these models are transformed into a form of exponential regression with multiplicative individual effects and time-variant heterogeneity, from which six alternative estimators that do not require assumptions on the distribution of the unobservables are developed...

Linear models with error components are widely used to analyze panel data. Some applications of these models require knowledge of the probability densities of the error components. Existing methods handle this requirement by assuming that the densities belong to known parametric families of distributions (typically the normal distribution). This paper shows how to carry out nonparametric estima...

When patients are monitored for potentially recurrent events such as infections or tumor metastases, it is common for clinicians to ask patients to come back sooner for follow-ups based on the results of the most recent exam. This means that subjects' observation times will be irregular and related to subject-specific factors. Previously proposed methods for handling such panel count data assum...

In the last step we used Assumption ID(ii). Because E [ Tr (e′e) ∣∣∣λ0, f , w] is independent of β, λ, f , we find minimizing Q(β, λ, f) is equivalent to minimizing Q∗(β, λ, f). We decompose ‡Department of Economics and USC Dornsife INET, University of Southern California, Los Angeles, CA 90089-0253. Email: [email protected]. Department of Economics, Yonsei University, Seoul, Korea. §Department of ...

The assessment of quality is a key factor for the meat industry, where the aim is to fulfill the consumer’s needs. In particular, tenderness is considered the most important characteristic affecting consumer perception of taste. In this paper, a Neural Network Ensemble, with feature selection based on a Sensitivity Analysis procedure, is proposed to predict lamb meat tenderness. This difficult ...