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This paper proposes nonparametric kernel-smoothing estimation for panel data to examine the degree of heterogeneity …
Persistent link: https://www.econbiz.de/10012899943
effects from the model by transforming the latter into a semiparametric additive model, the estimation of which however does …
Persistent link: https://www.econbiz.de/10012944279
In this paper, we propose a single-index panel data model with unobserved multiple interactive fixed effects. This model has the advantages of being flexible and of being able to allow for common shocks and their heterogeneous impacts on cross sections, thus making it suitable for the...
Persistent link: https://www.econbiz.de/10012979793
This paper investigates the estimation and inference of spatial panel data models in which the regression coefficient … regression coefficients with both linear and quadratic moments. A two-step estimation method is used to improve the estimation …
Persistent link: https://www.econbiz.de/10013292793
illustrated by two Monte-Carlo simulation studies, where we compare the performance in model selection and estimation of three …
Persistent link: https://www.econbiz.de/10014145864
We introduce a new jackknife variance estimator for panel-data regressions. Our variance estimator can be motivated as the conventional leave-one-out jackknife variance estimator on a transformed space of the regressors and residuals using orthonormal trigonometric basis functions. We prove the...
Persistent link: https://www.econbiz.de/10015084323
estimation problems that might affect the estimation of the rate of returns on FDI, and provide new figures for a number of FDI …
Persistent link: https://www.econbiz.de/10011526595
This paper is concerned with developing a semiparametric panel model to explain the trend in UK temperatures and other weather outcomes over the last century. We work with the monthly averaged maximum and minimum temperatures observed at the twenty six Meteorological Office stations. The data is...
Persistent link: https://www.econbiz.de/10014196245