Many retail and consumer packaged goods (CPG) companies are now keeping track of what their customers purchased in the past, often through some form of loyalty program. This record keeping is one example of how modern corporations are building data sets that have a panel structure, a data structure that is also pervasive in insurance and finance organizations. Panel data (sometimes called longi...

Non-parametric and semi-parametric analysis of panel count data have recently been an active research topic in statistical literature. Maximum likelihood method based on non-homogeneous Poisson process has been proved an efficient inference procedure for such analysis. However, computing the nonand semi-parametric maximum likelihood estimates (MLE) can be very intensive numerically. In this man...

Existing objective methods to predict sensory attributes of pork in general do not yield satisfactory correlation to panel evaluations, and their applications in meat industry are limited. In this study, a Raman spectroscopic method was developed to evaluate and predict tenderness, juiciness and chewiness of fresh, uncooked pork loins from 169 pigs. Partial Least Square Regression models were d...

In this paper we consider estimation and inference of common breaks in panel data models via adaptive group fused lasso. We consider two approaches — penalized least squares (PLS) for firstdifferenced models without endogenous regressors, and penalized GMM (PGMM) for first-differenced models with endogeneity. We show that with probability tending to one both methods can correctly determine the ...

background: one of the methods used for standard setting is the borderline regression method (brm). this study aims to assess the reliability of brm when the pass-fail standard in an objective structured clinical examination (osce) was calculated by averaging the brm standards obtained for each station separately. materials and methods: in nine stations of the osce with direct observation the e...

We identify characteristics that affect firms’ ability to learn from their export activities. Our analysis employs propensity score matching (PSM) techniques and GMM regressions on a panel of Argentinian firms spanning 1992-2001. Characteristics we find important to learning-by-exporting are: foreign ownership, intensive use of imported inputs, a skilled workforce and small firm size. Finally, ...

The paper investigates whether liquidity constraints affect firm size and growth dynamics using a large longitudinal sample of Italian manufacturing firms. We run standard panel-data Gibrat regressions, suitably expanded to take into account liquidity constraints (proxied by cash flow scaled by firm sales). Moreover, we characterize the statistical properties of firms size, growth, age, and (sc...

the impact resistance of new lightweight panel is studied. this panel consists of two thin metal layers bonded together by intermediate fiber/epoxy layers (mcm-sheets). to simulate a behavior of this kind of impact problem, explicit and implicit finite element software abaqus is used. in order to validate the finite element modeling, these results have been compared with experimental test resul...

A multinomial fractional logit model is developed in this article to examine the effects of various market variables, commodity and conservation program payments and county physical attributes on crop acreage allocation and CRP enrollment simultaneously in the Midwest region of the United States. Nine states and eleven years county level panel data are employed to estimate the acreage allocatio...