We study the incidental parameter problem for “three-way” Poisson Pseudo-Maximum Likelihood (“PPML”) estimator recently recommended identifying effects of trade policies and in other panel data gravity settings. Despite number variety fixed involved, we confirm PPML is consistent T show it fact only among a wide range PML estimators that generally this context when fixed. At same time, asymptot...

Clinical decision-making can be improved if healthcare practitioners are able to leverage both the tacit and explicit modalities of healthcare knowledge, yet at present there do not exist knowledge management systems that support any active and direct mapping between these two knowledge modalities. In this paper, we present a healthcare knowledge-mapping framework that maps (a) the tacit knowle...

the role of distance as border effects between trade partners has been created challengeable discussions in gravity model literature for international economists and lead to different theoretical aspects for measuring and modeling of it in recent years. moreover, the necessity of non-linear method for estimation of gravity model has been perfectly agreed. the importance of this study is the est...

The deepening of the content regional trade agreements has promoted deep integration global value chains. As an important part behind-the-border measures agreements, competition policy provisions have impact on intermediate product trade. This paper constructs depth index provisions, uses gravity model combined with Poisson's pseudo maximum likelihood estimation (PPML) and fixed effects to empi...

Homomorphic encryption (HE) is one of the representative solutions to privacy-preserving machine learning (PPML) classification enabling server classify private data clients while guaranteeing privacy. This work focuses on PPML using word-wise fully homomorphic (FHE). In order implement deep HE, ReLU and max-pooling functions should be approximated by polynomials for operations. Most previous s...

Este estudio evalua el impacto de las restricciones visado en la llegada turistas internacionales para periodo 2017-2019. A pesar relevancia del tema, existen pocos estudios literatura económica que analicen hasta qué punto reducen flujo viajeros entre países. trabajo pretende suplir esta escasez estudios, puesto visados suponen una importante barrera los movimientos limitando desarrollo sector...

Fully homomorphic encryption (FHE) is a prospective tool for privacy-preserving machine learning (PPML). Several PPML models have been proposed based on various FHE schemes and approaches. Although are suitable as tools implementing models, previous FHE, such CryptoNet, SEALion, CryptoDL, limited to simple nonstandard types of models; they not proven be efficient accurate with more practical ad...

Purpose The purpose of this paper is to examine the influence export logistics components: shipment arrangements, timely delivery, customs quality, trade infrastructure, and tracking tracing on competitiveness firms in East African Community (EAC). Design/methodology/approach study adopted Structural Gravity Model Poisson pseudo-maximum likelihood (PPML). PPML a nonlinear estimation method was ...

This study aims to analyze the influence of foreign direct investment, tourism, exports, and imports on carbon dioxide (CO2) emissions in High-Income State, Upper-Middle Income, Lower-Middle-Middle Income Asia during period 2010 2019. uses Poisson Pseudo-Maximum Likelihood (PPML) method. The results this indicate that Environmental Kuznets Curve Hypothesis (EKC) is valid country High Income. In...