Search results for "C52"
showing 10 items of 10 documents
Innovation Complementarity and Scale of Production
2006
We present an econometrically feasible model that uses the information contained in the innovation profile of each firm to test for the existence of complementarity among production and innovation strategies. Our approach is able to distinguish between complementarity and correlation induced by unobserved heterogeneity. We apply the model to analyze the Spanish ceramic tile industry where the adoption of the single firing furnace in the 1980's facilitated the introduction of new product designs as well as opening new ways of organizing production. Our econometric results show that there is significant complementarity between product and process innovation. Small firms tend to be more innova…
When does Regression discontinuity design work? Evidence from random election outcomes
2018
We use elections data in which a large number of ties in vote counts between candidates are resolved via a lottery to study the personal incumbency advantage. We benchmark non‐experimental regression discontinuity design (RDD) estimates against the estimate produced by this experiment that takes place exactly at the cutoff. The experimental estimate suggests that there is no personal incumbency advantage. In contrast, conventional local polynomial RDD estimates suggest a moderate and statistically significant effect. Bias‐corrected RDD estimates that apply robust inference are, however, in line with the experimental estimate. Therefore, state‐of‐the‐art implementation of RDD can meet the re…
Nature et impacts des effets spatiaux sur les valeurs immobilières : le cas de l'espace urbanisé francilien
2013
International audience
NEIGHBORHOOD EFFECTS IN SPATIAL HOUSING VALUE MODELS. THE CASE OF THE METROPOLITAN AREA OF PARIS (1999)
2009
In hedonic housing models, the spatial dimension of housing values are traditionally processed by the impact of neighborhood variables and accessibility variables. In this paper we show that spatial effects might remain once neighborhood effects and accessibility have been controlled for. We notably stress on three sides of neighborhood effects: social capital, social status and social externalities and consider the accessibility to the primary economic center as describing the urban spatial trend. Using spatial econometrics specifications of the hedonic equation, we estimate whether spatial effects impact the housing values. Our empirical case concerns the Metropolitan Area (MA) of Paris i…
On the Ambiguous Consequences of Omitting Variables
2015
This paper studies what happens when we move from a short regression to a long regression (or vice versa), when the long regression is shorter than the data-generation process. In the special case where the long regression equals the data-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias and mean squared error comparisons and study the dependence of the differences on the misspecification parameter.
On the ambiguous consequences of omitting variables
2015
This paper studies what happens when we move from a short regression to a long regression (or vice versa), when the long regression is shorter than the data-generation process. In the special case where the long regression equals the data-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias and mean squared error comparisons and study the dependence of the differences on the misspecification parameter.
Multidimensional Health Modelling: Association between Socioeconomic Factors and Health in Latvia
2012
This paper proposes new approach for modelling self-assessed health. We find that the concept of health is too complicated to measure effects of health determinants using a one-dimensional econometric model. We apply two-dimensional stereotype logistic model that allows capturing nonmonotonicity in effects of factors and revealing significant effects that remain unrevealed if single dimension models, such as ordered logit or ordered probit, are used. Modelling self-assessed health using multi-dimensional stereotype logit provides higher model goodness of fit and quality measures in comparison to ordered probit model. Multi-dimensional stereotype logit is applied to estimate association betw…
Association Between Self-Assessed Health and Attitude Towards Own Health
2014
This paper explores association between health and attitude towards own health in two dimensions – taking care of own health and lifestyle. We apply two-dimensional stereotype logit model to estimate association between self-assessed health and attitude towards health, after accounting for socioeconomic factors. We find evidence of strong positive association between health status and (perceived) taking care of own health and lifestyle. Analysis of perception of the two concepts – "taking care of own health" and "healthy lifestyle" – provides insights into possible reasons of not very good indicators of health behaviour among Latvian population.
Multidimensional health modeling: Association between socioeconomic and psychosocial factors and health in Latvia
2009
This research aims at estimating association between socioeconomic and psychosocial factors on the one hand and health in Latvia on the other hand. While information on association between socioeconomic determinants of population health in Latvia is scarce, effect of psychosocial resources on individual health in this country hasn’t been estimated before. We find empirical support for the association between different psychosocial factors and physical health in Latvia. This paper proposes new approach for modelling self-assessed health. We find that the concept of health is too complicated to measure effects of health determinants using a one-dimensional econometric model. We apply two-dime…
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…