962 resultados para Auctions Econometrics
Resumo:
[spa] El objetivo de este trabajo es corroborar la afirmación de la ONU de que el deporte es una herramienta poderosa para el progreso y el desarrollo. En este contexto, examinamos si el fútbol puede considerarse un indicador de desarrollo a nivel internacional. Un modelo empírico econométrico se diseña con el fin de analizar el desarrollo en términos de PIB per cápita, así como en términos del Índice de Desarrollo Humano. Se utiliza información transversal y temporal. Los resultados sugieren que la clasificación de la FIFA de selecciones nacionales puede ser utilizada para complementar nuestra comprensión del desarrollo multidimensional, en particular, en aquellos países donde la disponibilidad de información no es tan buena como los investigadores desearían.
Resumo:
[spa] El objetivo de este trabajo es corroborar la afirmación de la ONU de que el deporte es una herramienta poderosa para el progreso y el desarrollo. En este contexto, examinamos si el fútbol puede considerarse un indicador de desarrollo a nivel internacional. Un modelo empírico econométrico se diseña con el fin de analizar el desarrollo en términos de PIB per cápita, así como en términos del Índice de Desarrollo Humano. Se utiliza información transversal y temporal. Los resultados sugieren que la clasificación de la FIFA de selecciones nacionales puede ser utilizada para complementar nuestra comprensión del desarrollo multidimensional, en particular, en aquellos países donde la disponibilidad de información no es tan buena como los investigadores desearían.
Resumo:
[spa] El objetivo de este trabajo es corroborar la afirmación de la ONU de que el deporte es una herramienta poderosa para el progreso y el desarrollo. En este contexto, examinamos si el fútbol puede considerarse un indicador de desarrollo a nivel internacional. Un modelo empírico econométrico se diseña con el fin de analizar el desarrollo en términos de PIB per cápita, así como en términos del Índice de Desarrollo Humano. Se utiliza información transversal y temporal. Los resultados sugieren que la clasificación de la FIFA de selecciones nacionales puede ser utilizada para complementar nuestra comprensión del desarrollo multidimensional, en particular, en aquellos países donde la disponibilidad de información no es tan buena como los investigadores desearían.
Resumo:
Only a few studies have analysed the relationship between intraregional inequality and growth, although several studies have measured inequality at the regional level. The objective of this paper is to analyse the relationship between income (wage) inequality and economic growth in different regions of Mexico. We also try to identify factors that explain the variation of intra-regional inequality across Mexican regions and over time. Using macroeconomic databases and publicly available microdata, we apply techniques used in the fields of statistics and econometrics to obtain robust evidence on the relationship between growth and inequality. Our aim is to provide policy recommendations to support the design and implementation of growth-promoting measures thatavoid the exclusion of certain social groups. This paper provides reasons to use a spatial approach and an analysis of particular regions to avoid «one size fits all» policy recommendations.
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This paper provides further insights into the dynamics of exports and outward foreign direct investment (FDI) flows in Spain from a time-series approach. The contribution of the paper is twofold: 1) the existence of either substitution or a complementary relationship between Spanish outward investments and exports is empirically tested using a multivariate cointegrated model (VECM). The evolution in exchange flows (1993-2008) and country-specific variables (such as world demand - including Spain’s main recently growing foreign markets - for trade flows and the relative price of exports in order to proxy new global competitors) are taken into account for the first time. And 2) the growth in the trade of services in recent decades leads us to test a specific causality relationship by disaggregating between goods and services flows. Our results provide evidence of a positive (Granger) causality relationship running from FDI to exports of goods (stronger) and to exports of services (weaker) in the long run, the complementarity relation of which is consistent with vertical FDI strategies. In the short run, however, only exports of goods are affected (positively) by FDIs.
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We investigate the importance of the labour mobility of inventors, as well as the scale, extent and density of their collaborative research networks, for regional innovation outcomes. To do so, we apply a knowledge production function framework at the regional level and include inventors’ networks and their labour mobility as regressors. Our empirical approach takes full account of spatial interactions by estimating a spatial lag model together, where necessary, with a spatial error model. In addition, standard errors are calculated using spatial heteroskedasticity and autocorrelation consistent estimators to ensure their robustness in the presence of spatial error autocorrelation and heteroskedasticity of unknown form. Our results point to the existence of a robust positive correlation between intraregional labour mobility and regional innovation, whilst the relationship with networks is less clear. However, networking across regions positively correlates with a region’s innovation intensity.
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The regulation of speed limits in the US had been centralized at the federal level since 1974, until decisions were devolved to the states in 1995. However, the centralization debate has reemerged in recent years. Here, we conduct the first econometric analysis of the determinants of speed limit laws. By using economic, geographic and political variables, our results suggest that geography -which affects private mobility needs and preferences- is the main factor influencing speed limit laws. We also highlight the role played by political ideology, with Republican constituencies being associated with higher speed limits. Furthermore, we identify the presence of regional and time dependence effects. By contrast, poor road safety outcomes do not impede the enactment of high speed limits. Overall, we present the first evidence of the role played by geographical, ideological and regional characteristics, which provide us with a better understanding of the formulation of speed limit policies.
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Improving educational quality is an important public policy goal. However, its success requires identifying factors associated with student achievement. At the core of these proposals lies the principle that increased public school quality can make school system more efficient, resulting in correspondingly stronger performance by students. Nevertheless, the public educational system is not devoid of competition which arises, among other factors, through the efficiency of management and the geographical location of schools. Moreover, families in Spain appear to choose a school on the grounds of location. In this environment, the objective of this paper is to analyze whether geographical space has an impact on the relationship between the level of technical quality of public schools (measured by the efficiency score) and the school demand index. To do this, an empirical application is performed on a sample of 1,695 public schools in the region of Catalonia (Spain). This application shows the effects of spatial autocorrelation on the estimation of the parameters and how these problems are addressed through spatial econometrics models. The results confirm that space has a moderating effect on the relationship between efficiency and school demand, although only in urban municipalities.
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The extension of traditional data mining methods to time series has been effectively applied to a wide range of domains such as finance, econometrics, biology, security, and medicine. Many existing mining methods deal with the task of change points detection, but very few provide a flexible approach. Querying specific change points with linguistic variables is particularly useful in crime analysis, where intuitive, understandable, and appropriate detection of changes can significantly improve the allocation of resources for timely and concise operations. In this paper, we propose an on-line method for detecting and querying change points in crime-related time series with the use of a meaningful representation and a fuzzy inference system. Change points detection is based on a shape space representation, and linguistic terms describing geometric properties of the change points are used to express queries, offering the advantage of intuitiveness and flexibility. An empirical evaluation is first conducted on a crime data set to confirm the validity of the proposed method and then on a financial data set to test its general applicability. A comparison to a similar change-point detection algorithm and a sensitivity analysis are also conducted. Results show that the method is able to accurately detect change points at very low computational costs. More broadly, the detection of specific change points within time series of virtually any domain is made more intuitive and more understandable, even for experts not related to data mining.
Resumo:
While general equilibrium theories of trade stress the role of third-country effects, little work has been done in the empirical foreign direct investment (FDI) literature to test such spatial linkages. This paper aims to provide further insights into long-run determinants of Spanish FDI by considering not only bilateral but also spatially weighted third-country determinants. The few studies carried out so far have focused on FDI flows in a limited number of countries. However, Spanish FDI outflows have risen dramatically since 1995 and today account for a substantial part of global FDI. Therefore, we estimate recently developed Spatial Panel Data models by Maximum Likelihood (ML) procedures for Spanish outflows (1993-2004) to top-50 host countries. After controlling for unobservable effects, we find that spatial interdependence matters and provide evidence consistent with New Economic Geography (NEG) theories of agglomeration, mainly due to complex (vertical) FDI motivations. Spatial Error Models estimations also provide illuminating results regarding the transmission mechanism of shocks.
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This study examines health care utilization of immigrants relative to the native-born populations aged 50 years and older in eleven European countries. Methods. We analyzed data from the Survey of Health Aging and Retirement in Europe (SHARE) from 2004 for a sample of 27,444 individuals in 11 European countries. Negative Binomial regression was conducted to examine the difference in number of doctor visits, visits to General Practitioners (GPs), and hospital stays between immigrants and the native-born individuals. Results: We find evidence those immigrants above age 50 use health services on average more than the native-born populations with the same characteristics. Our models show immigrants have between 6% and 27% more expected visits to the doctor, GP or hospital stays when compared to native-born populations in a number of European countries. Discussion: Elderly immigrant populations might be using health services more intensively due to cultural reasons.
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We propose a new kernel estimation of the cumulative distribution function based on transformation and on bias reducing techniques. We derive the optimal bandwidth that minimises the asymptotic integrated mean squared error. The simulation results show that our proposed kernel estimation improves alternative approaches when the variable has an extreme value distribution with heavy tail and the sample size is small.
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MicroEconometria és un paquet estadístic i economètric que contempla l’estimació de models uniequacionals: 1- Regressió simple i múltiple: anàlisi de residus, influència i atipicitat, diagnòstics de multicol·linealitat, estimació robusta, predicció, diagnòstics d’estabilitat, bootstrap. 2- Regressió en panell: efectes fixes, efectes aleatoris i efectes combinats. 3- Regressió lògit i probit. 4- Regressió censurada: tobit i model de selecció de Heckman. 5- Regressió multinomial. 6- Regressió poisson: model ‘count data’. 7- Índexs amb variables renda i riquesa i impostos transferències. Genera un informe per a cada una de les possibilitats contemplades que conté la presentació dels resultats de les estimacions, incloent les sortides gràfiques pertinents. L’input del programa és qualsevol base de dades, en la que es pugui identificar la variable endògena i les variables exògenes del model utilitzat, continguda en un llibre d’EXCEL de Microsoft.
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SIMBENFISC v1.0 permet simular els beneficis fiscals que generen els següents impostos: Successions, Donacions, Transmissions Patrimonials, Actes Jurídics i Operacions Societàries. Genera un informe per a cada impost que conté: 1- Els resultats de la recaptació real per a la liquidació de l’impost segons la normativa vigent a Catalunya i la normativa vigent a l’estat. 2- Els resultats dels beneficis fiscals que corresponen a l’execució de les diferents reduccions i/o deduccions contemplades a cada impost. 3- Els resultats de la projecció de recaptació i dels beneficis fiscals que s’obtindrien d’aplicar determinats supòsits de creixement a) de la base imposable, b) de les liquidacions i c) de canvis de normativa. La informació que processa aquest simulador, òbviament, és específica de cada impost, però el seu ventall es situa aproximadament entre els 50.000 i 300.000 registres. Aquesta informació és l’input del microsimulador i la proporciona la Direcció General de Tributs i Jocs, del Departament d’Economia i Coneixement de la Generalitat de Catalunya, a partir de les autoliquidacions que s’efectuen en cada exercici fiscal anual.
Resumo:
SIMCAT v4.1 permet simular reformes dels següents impostos: IRPF, IPPF, Successions, Donacions, Transmissions Patrimonials, Actes Jurídics i Operacions Societàries. Aquest simulador permet confegir les figures contemplades específicament per a cada impost, seguint el seu esquema liquidatori: base imposable, reduccions, base liquidable, tarifa, deduccions, bonificacions i quota. Genera un informe per a cada reforma programada que conté: 1) Resultats descriptius i estadístics, relatius a les variables d’interès de qualsevol dels impostos mencionats, per tal de poder analitzar l’impacte global de la reforma programada. 2) Resultats distributius en forma de grups ordenats de contribuents, segons base imposable gravada, per tal de poder analitzar l’impacte específic per a cada grup de la reforma programada. 3) Resultats sintètics en forma dels índexs habitualment utilitzats per analitzar reformes impositives: desigualtat, concentració, progressivitat i redistribució. 4) Resultats corresponents als guanyadors i perdedors de cada reforma, respecte a la situació de partida o, àdhuc, permetent la comparació amb d’altres reformes. 5) Gràfics de corbes de Lorenz, de tipus impositius, de guanys i pèrdues. La informació que processa aquest simulador, òbviament, és específica de cada impost, però el seu ventall es situa aproximadament entre els 50.000 i 300.000 registres. Aquesta informació és l’input del microsimulador i la proporciona la Direcció General de Tributs i Jocs, del Departament d’Economia i Coneixement de la Generalitat de Catalunya, a partir de les autoliquidacions que s’efectuen en cada exercici fiscal anual.