Showing 1 - 10 of 103
he purpose of this article is to analyse the dynamic trend of spatial dependence, which is not only contemporary but time-lagged in many socio-economic phenomena. Firstly, we show some of the commonly used exploratory spatial data analysis (ESDA) techniques and we propose other new ones, the...
Persistent link: https://www.econbiz.de/10005062559
Recently municipal household income has been estimated with spatial econometrics techniques explicitly including spatial autocorrelation in the econometric models. Spatial econometric tools have highly improved the explicative and predictive capacity of the models and more effort must be done in...
Persistent link: https://www.econbiz.de/10005556266
The Heckman sample selection model relies on the assumption of normal and homoskedastic disturbances. However, before considering more general, alternative semiparametric models that do not need the normality assumption, it seems useful to test this assumption. Following Meijer and Wansbeek...
Persistent link: https://www.econbiz.de/10010421301
This paper evaluates bootstrap inference methods for quantile regression panel data models. We propose to construct confidence intervals for the parameters of interest using percentile bootstrap with pairwise resampling. We study three different bootstrapping procedures. First, the bootstrap...
Persistent link: https://www.econbiz.de/10011755298
We propose a random effects panel data model with both spatially correlated error components and spatially lagged dependent variables. We focus on diagnostic testing procedures and derive Lagrange multiplier (LM) test statistics for a variety of hypotheses within this model. We first construct...
Persistent link: https://www.econbiz.de/10011755310
-dimensional surfaces. We propose to extend their use to finance and, in particular, to forecasting yield curves. We present the results of … Kriging method based on the anisotropic variogram. Furthermore, a comparison with other recent methods for forecasting yield … competitive with the other forecasting models considered. …
Persistent link: https://www.econbiz.de/10011755309
Implications of nonlinearity, nonstationarity and misspecification are considered from a forecasting perspective. My …
Persistent link: https://www.econbiz.de/10005408003
This paper is an exercise in applied macroeconomic forecasting. We examine the forecasting power of a vector error … expenditure as suggested by the economic theory. We compare the estimated forecasting values of the endogenous variables to the …
Persistent link: https://www.econbiz.de/10005556281
In this paper we propose a simple model to forecast industrial production in Italy. We show that the forecasts produced using the model outperform some popular forecasts as well as those stemming from a trading days- and outlier-robust ARIMA model used as a benchmark. We show that the use of...
Persistent link: https://www.econbiz.de/10005556310
This paper explores the forecasting abilities of Markov-Switching models. Although MS models generally display a … models. In order to explain this poor performance, we use a forecasting error decomposition. We identify four components and …
Persistent link: https://www.econbiz.de/10005556398