Pfeffermann, Danny, Sverchkov, Michail
In this article we show how to predict small area means and obtain valid MSE estimators and confidence intervals when the areas represented in the sample are sampled with unequal probabilities that...
Comment: Struggles with Survey Weighting and Regression Modeling (2007)
Comment: Struggles with Survey Weighting and Regression Modeling [arXiv:0710.5005]
Pfeffermann, Danny, Landsman, Victoria
In observational studies the assignment of units to treatments is with unknown probabilities. Consequently, estimation and comparison of treatment effects based on the empirical distributions of the...
Pfeffermann, Danny, Sverchkov, Michail
In this article we show how to predict small area means and obtain valid MSE estimators and confidence intervals when the areas represented in the sample are sampled with unequal probabilities that...
Small-area estimation with state-space models subject to benchmark constraints (2006)
Pfeffermann, Danny, Tiller, Richard
This article shows how to benchmark small area estimators, produced by fitting separate state-space models within the areas, to aggregates of the survey direct estimators within a group of areas....
Multi-level modelling under informative sampling (2006)
Pfeffermann, Danny, Da Silva Moura, Fernando Antonio, Do Nascimento Silva, Pedro Luis
We consider a model-dependent approach for multi-level modelling that accounts for informative probability sampling of first- and lower-level population units. The proposed approach consists of first...
Bootstrap approximation to prediction MSE for state-space models with estimated parameters (2005)
Pfeffermann, Danny, Tiller, Richard
We propose simple parametric and nonparametric bootstrap methods for estimating the prediction mean square error (PMSE) of state vector predictors that use estimated model parameters. As is well...
Pfeffermann, Danny, Sverchkov, Michail
In this article we show how to predict small area means and obtain valid MSE estimators and confidence intervals in situations where the areas represented in the sample are sampled with unequal...
Pfeffermann, Danny, Terryn, Bénédicte, Moura, Fernando
The UNESCO Institute for Statistics has initiated a programme to collect data on the level of literacy of adults in developing countries. This will involve conducting small-scale surveys in a few...
Small area estimation under varying area boundaries using the synthetic estimator (2005)
Moura, Fernando, Clarke, Philip, Pfeffermann, Danny
This paper investigates the use of hierarchical models for small area estimation with varying area boundaries, employing the synthetic estimator. The paper shows how area estimates and corresponding...
Small area estimation under informative sampling (2005)
Pfeffermann, Danny, Sverchkov, Michail
In this article we show how to predict small area means and compute valid MSE estimators in situations where the areas represented in the sample are sampled with unequal probabilities that are...
Bootstrap Approximation to Prediction MSE for State-Space Models with Estimated Parameters (2004)
Pfeffermann, Danny, Tiller, Richard
We propose a simple but general bootstrap method for estimating the Prediction Mean Square Error (PMSE) of the state vector predictors when the unknown model parameters are estimated from the...
Multi-level Modelling Under Informative Sampling (2004)
Pfeffermann, Danny, Moura, Fernando, Silva, Pedro Nascimento
We consider a model dependent approach for multi-level modelling that accounts for informative probability sampling, and compare it with the use of probability weighting as proposed by Pfeffermann et...
Prediction of finite population totals based on the sample distribution (2004)
Sverchkov, Michail, Pfeffermann, Danny
This article studies the use of the sample distribution for the prediction of finite population totals under single-stage sampling. The proposed predictors employ the sample values of the target...
Fitting generalized linear model under informative sampling (2003)
Pfeffermann, Danny, Sverchkov, M. Yu
* Introduction * Population and Sample Distributions * Inference under Informative Probability Sampling * Variance Estimation * Simulation Results * Summary and Extensions
Prediction of finite population totals based on the sample distribution (2003)
Sverchkov, Michail, Pfeffermann, Danny
In this article we study the use of the sample distribution for the prediction of finite population totals under single-stage sampling. The proposed predictors condition on the sample values of the...
Pfeffermann, Danny, Tiller, Richard
The problem of Small Area Estimation is how to produce reliable estimates of area (domain) characteristics, when the sizes within the areas are too small to warrant the use of traditional direct...
Small Area Estimation Under Informative Sampling (2003)
Pfeffermann, Danny, Sverchkov, Michail
This article proposes two approaches for small area estimation under informative sampling. The semi-parametric approach makes no assumptions regarding the relationship between the area selection...
Small area estimation: new developments and directions (2002)
The purpose of this paper is to provide a critical review of the main advances in small area estimation (SAE) methods in recent years. We also discuss some of the earlier developments, which serve as...
The estimation of gross flows in the presence of measurement error using auxiliary variables (1998)
Pfeffermann, Danny, Skinner, Chris, Humphreys, Keith
Classification error can lead to substantial biases in the estimation of gross flows from longitudinal data. We propose a method to adjust flow estimates for bias, based on fitting separate...
PFEFFERMANN, DANNY, KRIEGER, ABBA M.
Poststratification is often used to increase the precision of survey estimators. When applied to regression estimators, it assumes that the regression relationships in the various strata are...
Bootstrap Approximation to Prediction MSE for State-Space Models with Estimated Parameters
Danny Pfeffermann, Richard Tiller
We propose simple parametric and nonparametric bootstrap methods for estimating the prediction mean square error (PMSE) of state vector predictors that use estimated model parameters. As is well...
Some New Estimators for Small-Area Means with Application to the Assessment of Farmland Values.
Pfeffermann, Danny, Barnard, Charles H
Regression models that account for main state effects and nested county effects are considered for the assessment of farmland values. Empirical predictors obtained by replacing the unknown variances...
Estimation and Seasonal Adjustment of Population Means Using Data from Repeated Surveys.
I consider estimation and seasonal adjustment of population means based on rotating panel surveys carried out at regular time intervals. The analysis uses a dynamic structural model that assumes a...
Estimation of Autocorrelations of Survey Errors with Application to Trend Estimation in Small Areas.
Pfeffermann, Danny, Feder, Moshe, Signorelli, David
This article describes a simple method of estimating the autocorrelations of survey errors for the case of routing-panel sampling designs. Such designs are in routine use, for example, in labor force...
Multi-level modelling under informative sampling
We consider a model-dependent approach for multi-level modelling that accounts for informative probability sampling of first- and lower-level population units. The proposed approach consists of first...