129 resultados para dynamic panel data.
Resumo:
In this paper we study the evolution of the labor share in the OECD since 1970. We show it is essentially related to the capital-output ratio; that this relationship is shifted by factors like the price of imported materials or the skill mix; and that discrepancies between the marginal product of labor and the real wage (due to, e.g., product market power, union bargaining, and labor adjustment costs) cause departures from it. We provide estimates of the model with panel data on 14 industries and 14 countries for 1973-93 and use them to compute the evolution of the wage gap in Germany and the US.
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We propose an alternative method for measuring intergenerational mobility. Measurements obtained fromtraditional methods (based on panel data) are scarce, difficult to compare across countries and almost impossible to get across time. In particular, this means that we do not know how intergenerational mobility is correlated with growth, income or the degree of inequality.Our proposal is to measure the informative content of surnames in one census. The more information thesurname has on the income of an individual, the more important is her background in determining her outcomes; and thus, the less mobility there is.The reason is that surnames provide information about family relationships because the distribution ofsurnames is necessarily very skewed. A large percentage of the population is bound to have a very unfrequent surname. For them the partition generated by surnames is very informative on family linkages.First, we develop a model whose endogenous variable is the joint distribution of surnames and income.There, we explore the relationship between mobility and the informative content of surnames. We allow for assortative mating to be a determinant of both.Second, we use our methodology to show that in large Spanish region the informative content of surnamesis large and consistent with the model. We also show that it has increased over time, indicating a substantial drop in the degree of mobility. Finally, using the peculiarities of the Spanish surname convention we show that the degree of assortative mating has also increased over time, in such a manner that might explain the decrease in mobility observed.Our method allows us to provide measures of mobility comparable across time. It should also allow us tostudy other issues related to inheritance.
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This paper studies the interaction between ownership structure, taken as a proxy for shareholders commitment, and customer satisfaction - the main driver of consumer loyalty - and their impact on a firm s brand equity. The results show that customer satisfaction has a positive direct effect on brand equity but an indirect negative one because of reductions in ownership concentration. This latter effect emerges when managers are mainly customer-oriented. Such result gives out a warning signal that highlights the perverse effect of implementing policies, focused excessively on satisfying customers at the expense of shareholders, on a firm s brand equity. The empirical analysis uses an incomplete panel data comprising 69 firms from 11 nations, for the period 2002-2005.
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An attendance equation is estimated using data on individual games playedin the Spanish First Division Football League. The specification includesas explanatory factors: economic variables, quality, uncertainty andopportunity costs. We concentrate the analysis on some specificationissues such as controlling the effect of unobservables given the paneldata structure of the data set, the type of functional form and thepotential endogeneity of prices. We obtain the expected effects onattendance for all the variables. The estimated price elasticities aresmaller than one in absolute value as usually occurs in this literaturebut are sensitive to the specification issues.
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In this paper we argue that corporate social responsibility (CSR) to various stakeholders(customers, shareholders, employees, suppliers, and community) has a positive effect on globalbrand equity (BE). In addition, policies aimed at satisfying community interests help reinforcecredibility to social responsible polices with other stakeholders. We test these theoreticalcontentions using panel data comprised of 57 global brands originating from 10 countries (USA,Japan, South Korea, France, UK, Italy, Germany, Finland, Switzerland and the Netherlands) forthe period 2002 to 2008. Our findings show that CSR to each of the stakeholder groups has apositive impact on global BE. In addition, global brands that follow local social responsibilitypolicies over communities obtain strong positive benefits in terms of the generation of BE, as itenhances the positive effects of CSR to other stakeholders, particularly to customers. Therefore,for managers of global brands it is particularly productive for generating brand value to combineglobal strategies with the satisfaction of the interests of local communities.
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This paper proposes a common and tractable framework for analyzingdifferent definitions of fixed and random effects in a contant-slopevariable-intercept model. It is shown that, regardless of whethereffects (i) are treated as parameters or as an error term, (ii) areestimated in different stages of a hierarchical model, or whether (iii)correlation between effects and regressors is allowed, when the sameinformation on effects is introduced into all estimation methods, theresulting slope estimator is also the same across methods. If differentmethods produce different results, it is ultimately because differentinformation is being used for each methods.
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In this paper we use a variety of data sources, both micro and macro, time series, crosssection, and panel data to provide an empirical evaluation of the current level of economicwellbeing of the Spanish elderly, and of its determinants. We focus, in particular on the role played by the pension system and its generosity in terms of minimum pension supplements and non-contributive pensions. In an IV context, we find that actual Social Security benefits contribute substantially to explain income and consumption poverty levels and trends of low income and consumption percentiles. Thus we offer support to previous evidence for Spain emphasizing the role of minimum benefit policies.
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This paper proposes a test statistic for the null hypothesis of panel stationarity that allows for the presence of multiple structural breaks. Two different speci¿cations are considered depending on the structural breaks affecting the individual effects and/or the time trend. The model is ¿exible enough to allow the number of breaks and their position to differ across individuals. The test is shown to have an exact limit distribution with a good ¿nite sample performance. Its application to a typical panel data set of real per capita GDP gives support to the trend stationarity of these series
Resumo:
El paro es uno de los problemas más importantes de la economía española y del resto de economías europeas. Un posible análisis, ampliamente extendido en la literatura reciente, considera el desajuste existente entre la oferta y la demanda de trabajo como posible causante de esta situación. En este sentido, la relación empírica entre la tasa de paro y la tasa de vacantes, la denominada curva UV o de Beveridge, ofrece un instrumento para caracterizar el paro d'una economía determinada. Diferentes estudios, como por ejemplo, Jackman et. al. (1983) o Pissarides (1985) entre otros, consideran que los desplazamientos de la curva de Beveridge pueden interpretarse como variaciones del paro estructural. La identificación de estos desplazamientos puede dar información relevante para diseñar políticas económicas adecuadas. El principal objetivo de este trabajo es el de identificar los desplazamientos de la curva de Beveridge para la economía española durante el período 1978-96 utilizando datos anuales de la Encuesta de Población Activa (INE) y de Estadística de Empleo (INEM). Dado que ambas fuentes facilitan la información desagregada territorialmente, se puede construir un panel de datos regionales que permite analizar un amplio conjunto de factores que pueden explicar el desplazamiento de la curva, un posible cambio en la elasticidad de la tasa de paro respeto a la tasa de vacantes, así como también valorar la existencia de diferentes comportamientos regionales en el proceso de emparejamiento de trabajos con trabajadores
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Applied studies on the relationship between geography and technological innovation for United States, Germany, France and Italy have shown the positive effects that academic research exerts on the innovate output of firms at spatial level. The purpose of this paper is to look for new evidence on the possible effects of the university research for the case of Spain. To do so, within the framework of a Griliches-Jaffe knowledge production function, and using panel data and count models, the relationship between innovate inputs and patents, in the case of the Spanish regions is explored
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The aim of this paper is twofold. First, we study the determinants of economic growth among a wide set of potential variables for the Spanish provinces (NUTS3). Among others, we include various types of private, public and human capital in the group of growth factors. Also,we analyse whether Spanish provinces have converged in economic terms in recent decades. Thesecond objective is to obtain cross-section and panel data parameter estimates that are robustto model speci¯cation. For this purpose, we use a Bayesian Model Averaging (BMA) approach.Bayesian methodology constructs parameter estimates as a weighted average of linear regression estimates for every possible combination of included variables. The weight of each regression estimate is given by the posterior probability of each model.
Resumo:
Applied studies on the relationship between geography and technological innovation for United States, Germany, France and Italy have shown the positive effects that academic research exerts on the innovate output of firms at spatial level. The purpose of this paper is to look for new evidence on the possible effects of the university research for the case of Spain. To do so, within the framework of a Griliches-Jaffe knowledge production function, and using panel data and count models, the relationship between innovate inputs and patents, in the case of the Spanish regions is explored
Resumo:
El paro es uno de los problemas más importantes de la economía española y del resto de economías europeas. Un posible análisis, ampliamente extendido en la literatura reciente, considera el desajuste existente entre la oferta y la demanda de trabajo como posible causante de esta situación. En este sentido, la relación empírica entre la tasa de paro y la tasa de vacantes, la denominada curva UV o de Beveridge, ofrece un instrumento para caracterizar el paro d'una economía determinada. Diferentes estudios, como por ejemplo, Jackman et. al. (1983) o Pissarides (1985) entre otros, consideran que los desplazamientos de la curva de Beveridge pueden interpretarse como variaciones del paro estructural. La identificación de estos desplazamientos puede dar información relevante para diseñar políticas económicas adecuadas. El principal objetivo de este trabajo es el de identificar los desplazamientos de la curva de Beveridge para la economía española durante el período 1978-96 utilizando datos anuales de la Encuesta de Población Activa (INE) y de Estadística de Empleo (INEM). Dado que ambas fuentes facilitan la información desagregada territorialmente, se puede construir un panel de datos regionales que permite analizar un amplio conjunto de factores que pueden explicar el desplazamiento de la curva, un posible cambio en la elasticidad de la tasa de paro respeto a la tasa de vacantes, así como también valorar la existencia de diferentes comportamientos regionales en el proceso de emparejamiento de trabajos con trabajadores
Resumo:
Applied studies on the relationship between geography and technological innovation for United States, Germany, France and Italy have shown the positive effects that academic research exerts on the innovate output of firms at spatial level. The purpose of this paper is to look for new evidence on the possible effects of the university research for the case of Spain. To do so, within the framework of a Griliches-Jaffe knowledge production function, and using panel data and count models, the relationship between innovate inputs and patents, in the case of the Spanish regions is explored
Resumo:
[spa] El principal objetivo de este artículo se centra en analizar los orígenes del Estado de Bienestar en España a partir del marco teórico elaborado por Peter Lindert. Con este fin, se ofrece un análisis econométrico de los factores que determinaron la evolución del gasto social público en este país entre 1880 y 1960. Utilizando nueva evidencia cuantitativa, se construyó un panel de datos por quinquenios con el porcentaje de gasto social respecto al PIB desagregado en tres partidas: sanidad, seguridad social y beneficencia. El análisis permite insertar el caso español en el debate internacional y los resultados revelan interesantes singularidades de este país.