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A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...
Persistent link: https://www.econbiz.de/10010269313
An important issue in the analysis of cross-sectional dependence which has received renewed interest in the past few years is the need for a better understanding of the extent and nature of such cross dependencies. In this paper we focus on measures of cross-sectional dependence and how such...
Persistent link: https://www.econbiz.de/10010282124
This paper considers the problems facing decision makers using econometric models in real time. It identifies the key stages involved and highlights the role of automated systems in reducing the effect of data snooping. It sets out many choices that researchers face in construction of automated...
Persistent link: https://www.econbiz.de/10010276178
This paper considers the problems facing decision makers using econometric models in real time. It identifies the key stages involved and highlights the role of automated systems in reducing the effect of data snooping. It sets out many choices that researchers face in construction of automated...
Persistent link: https://www.econbiz.de/10005763536
This papers describes an estimator for a standard state-space model with coefficients generated by a random walk that is statistically superior to the Kalman filter as applied to this particular class of models. Two closely related estimators for the variances are introduced: A maximum...
Persistent link: https://www.econbiz.de/10010267676
. A penalized least squares estimation is linked to the GLS (Aitken) estimates of the corresponding linear model with time …
Persistent link: https://www.econbiz.de/10012180113
This papers describes an estimator for a standard state-space model with coefficients generated by a random walk that is statistically superior to the Kalman filter as applied to this particular class of models. Two closely related estimators for the variances are introduced: A maximum...
Persistent link: https://www.econbiz.de/10005566384
In this paper the extensive empirical literature on the gender wage gap is reviewed with particular attention given to the identification of the key parameters in the specified human capital wage regression models. This aspect has been of great importance in the literature chiefly for two...
Persistent link: https://www.econbiz.de/10010262401
This survey is devoted to the modelling and the estimation of reduced-form transition models, which have been … modelling of such processes using continuous-time (event-history) data. It also presents parametric and nonparametric estimation … procedures, and focuses on the treatment of unobserved heterogeneity. The second section deals with the estimation of markovian …
Persistent link: https://www.econbiz.de/10010267343
This paper performs a comparative analysis of estimation as well as of out-of-sample forecasting results of more than … period 1967-2001. Our results suggest that the choice of an estimation procedure has a substantial impact on the parameter …
Persistent link: https://www.econbiz.de/10010267584