Search results for "Econometric"
showing 10 items of 3780 documents
Spatial Econometrics and Spatial Data Pooled over Time: Towards an Adapted Modelling Approach
2013
International audience
Changes in Spatial Diversity of the Standard of Living of Poland’s Population in 2003-2012
2016
Cel Osiągany w poszczególnych krajach i ich regionach poziom życia ludności w dużej mierze zależy od poziomu rozwoju społeczno-gospodarczego jaki prezentuje dane państwo. W przypadku większości krajów rozwiniętych i rozwijających się ogólny poziom życia społeczeństw ulega poprawie. Jednocześnie wzrasta dystans pomiędzy krajami i regionami o najniższym i najwyższym poziomie rozwoju społecznego. W Polsce m.in. ze względów kulturowych, historycznych, społecznych i ekonomicznych poziom życia ludności zamieszkującej różne regiony (województwa) jest odmienny. Polska, podobnie jak inne kraje członkowskie Unii Europejskiej (UE), podejmuje działania, których celem jest zniwelowanie różnic w poziomie…
Hétérogénéité spatiale : principes et méthodes
2004
Spatial Heterogeneity : Principles and Methods This article has a dual purpose . First , it describes the main econometric specifications which can be used to represent spatial heterogeneity , reflected in an instability of parameters in space and / or a heteroscedasticity of error terms . Only the specifications valid in cross-section are examined . Second , it explains the links between spatial heterogeneity and autocorrelation , the other major feature of localised data , defined by the absence of independence between geographical observations . In particular , we look at the extent to which traditional tests of heteroscedasticity or instability need to be amended to take account of spat…
An Examination of Tourist Arrivals Dynamics Using Short-Term Time Series Data: A Space—Time Cluster Approach
2013
The purpose of this study is to examine the development of Italian tourist areas ( circoscrizioni turistiche) through a cluster analysis of short time series. The technique is an adaptation of the functional data analysis approach developed by Abraham et al (2003), which combines spline interpolation with k-means clustering. The findings indicate the presence of two patterns (increasing and stable) averagely characterizing groups of territories. Moreover, tests of spatial contiguity suggest the presence of ‘space–time clusters’; that is, areas in the same ‘time cluster’ are also spatially contiguous. These findings appear to be more robust in particular for those series characterized by an…
A fuzzy-set qualitative comparative analysis model to predict bank bailouts: a study of the Spanish financial system
2020
This paper examines the restructuring of the Spanish financial system. This study is justified by the massive economic and social impact of this process in Spain. Based on the annual accounts and the annual reports of Spanish credit institutions, a model was created to predict the possibility of bank failure or bailout. The variables were selected following a review of the literature. They included the legal form of the credit institution (savings bank versus bank), leverage, real estate investment, gross operating margin, staff costs and non-performing loans. Two variables that had not previously been used in studies of this type were also included in the model: risk-weighted assets and co…
Coopetition, standardization and general purpose technologies : A framework and an application
2023
Funding Information: We thank Paul Wiegmann, Geerten van de Kaa, Filippo Grillo, Tuomo Uotila, Elina Berghäll, Joakim Wikström and a number of anonymous reviewers for helpful comments. Earlier versions of the paper have been presented at EURAS2022 conference at Adam Smith Business School of the University of Glasgow, 38th Summer Seminar of Finnish Economist at University of Jyväskylä and Lappeenranta-Lahti University of Technology LUT. Heikkilä gratefully acknowledges financial support from the Foundation for Economic Education (Liikesivistysrahasto, Reino Rossi Memorial Fund), PHP Säätiö and the Jyväskylä University School of Business and Economics. We argue that coopetition and standardiz…
Logistics and Supply Chain Management: An Overview
2019
Abstract The purpose of this paper is to identify and explore the content of Logistics and Supply Chain Management, and to find the connections and the differentials factors that are between the two areas. The study is based on literature review and wants to find the core subjects and the differentials between the two areas, in order to a better and comprehensive understanding of these topics.
Modelling Systemic Cojumps with Hawkes Factor Models
2013
Instabilities in the price dynamics of a large number of financial assets are a clear sign of systemic events. By investigating a set of 20 high cap stocks traded at the Italian Stock Exchange, we find that there is a large number of high frequency cojumps. We show that the dynamics of these jumps is described neither by a multivariate Poisson nor by a multivariate Hawkes model. We introduce a Hawkes one factor model which is able to capture simultaneously the time clustering of jumps and the high synchronization of jumps across assets.
How many longitudinal covariate measurements are needed for risk prediction?
2014
Abstract Objective In epidemiologic follow-up studies, many key covariates, such as smoking, use of medication, blood pressure, and cholesterol, are time varying. Because of practical and financial limitations, time-varying covariates cannot be measured continuously, but only at certain prespecified time points. We study how the number of these longitudinal measurements can be chosen cost-efficiently by evaluating the usefulness of the measurements for risk prediction. Study Design and Setting The usefulness is addressed by measuring the improvement in model discrimination between models using different amounts of longitudinal information. We use simulated follow-up data and the data from t…
A new approach for estimating a nonlinear growth component in multilevel modeling
2011
This study presents a new approach to estimation of a nonlinear growth curve component with fixed and random effects in multilevel modeling. This approach can be used to estimate change in longitudinal data, such as day-of-the-week fluctuation. The motivation of the new approach is to avoid spurious estimates in a random coefficient regression model due to the synchronized periodical effect (e.g., day-of-the-week fluctuation) appearing both in independent and dependent variables. First, the new approach is introduced. Second, a Monte Carlo simulation study is carried out to examine the functioning of the proposed new approach in the case of small sample sizes. Third, the use of the approac…