Semiparametric empirical best prediction for small area estimation of unemployment indicators
@article{Marino2019SemiparametricEB, title={Semiparametric empirical best prediction for small area estimation of unemployment indicators}, author={Maria Francesca Marino and Maria Giovanna Ranalli and Nicola Salvati and Marco Alf{\`o}}, journal={The Annals of Applied Statistics}, year={2019} }
The Italian National Institute for Statistics regularly provides estimates of unemployment indicators using data from the Labor Force Survey. However, direct estimates of unemployment incidence cannot be released for Local Labor Market Areas. These are unplanned domains defined as clusters of municipalities; many are out-of-sample areas and the majority is characterized by a small sample size, which render direct estimates inadequate. The Empirical Best Predictor represents an appropriate…
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References
SHOWING 1-5 OF 5 REFERENCES
The behavior of maximum likelihood estimates under nonstandard conditions
- Mathematics
- 1967
This paper proves consistency and asymptotic normality of maximum likelihood (ML) estimators under weaker conditions than usual. In particular, (i) it is not assumed that the true distribution…
A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Mathematics, Economics
- 1980
This paper presents a parameter covariance matrix estimator which is consistent even when the disturbances of a linear regression model are heteroskedastic. This estimator does not depend on a formal…
Standard Errors for EM Estimates in Generalized Linear Models with Random Effects
- MathematicsBiometrics
- 2000
A procedure is derived for computing standard errors of EM estimates in generalized linear models with random effects and an approximation of the expected Fisher information matrix is derived from an expansion of the EM estimating equations.
Finding the Observed Information Matrix When Using the EM Algorithm
- Computer Science
- 1982
A procedure is derived for extracting the observed information matrix when the EM algorithm is used to find maximum likelihood estimates in incomplete data problems and a method useful in speeding up the convergence of the EM algorithms is developed.
Direct calculation of the information matrix via the EM algorithm
- Mathematics
- 1999
A simple explicit formula is provided for the matrix of second derivatives of the observed data log‐likelihood in terms of derivatives of the criterion function (conditional expectation of the…