The paper explores the effect of multiplicative measurement errors on the estimation of a linear panel data model. Multiplicative errors are often used to minimize disclosure risk of micro data. We use unbiased estimating equations to construct consistent and asymptotically normal estimators.Panel regression Multiplicative measurement errors Bias correction Asymptotic variance Disclosure control
This paper develops an instrumental variables estimator for quantile regression in panel data with f...
The present article considers the problem of consistent estimation in measurement error models. A li...
In this paper we consider the polynomial regression model in the presence of multiplicative measurem...
Measurement error is a pervasive problem in economics and other social and behavioral sciences. Esti...
Measurement error causes a bias towards zero when estimating a panel data linear regression model. T...
Panel data consist of measurements taken from several individuals over time. Correlation among measu...
My dissertation consists three independent chapters. The first chapter studies the asymptotic proper...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
In this paper we consider the polynomial regression model in the presence of multiplicative mea sure...
This paper provides a constructive argument for identification of nonparametric panel data models wi...
This paper proposes a minimum distance (MD) estimator to estimate panel regression models with measu...
Panel data are repeated observations on the same cross section unit, typically of individuals or fir...
This paper puts forward a new instrumental variables (IV) approach for linear panel data models with...
Kroh M, Karmann A, Kühne S. Estimating Mode Effects in Panel Surveys: A Multitrait Multimethod Appro...
This paper derives and gives explicit formulas for a derived sandwich variance estimate. This varian...
This paper develops an instrumental variables estimator for quantile regression in panel data with f...
The present article considers the problem of consistent estimation in measurement error models. A li...
In this paper we consider the polynomial regression model in the presence of multiplicative measurem...
Measurement error is a pervasive problem in economics and other social and behavioral sciences. Esti...
Measurement error causes a bias towards zero when estimating a panel data linear regression model. T...
Panel data consist of measurements taken from several individuals over time. Correlation among measu...
My dissertation consists three independent chapters. The first chapter studies the asymptotic proper...
Measurement error biases OLS results. When the measurement error variance in absolute or relative (r...
In this paper we consider the polynomial regression model in the presence of multiplicative mea sure...
This paper provides a constructive argument for identification of nonparametric panel data models wi...
This paper proposes a minimum distance (MD) estimator to estimate panel regression models with measu...
Panel data are repeated observations on the same cross section unit, typically of individuals or fir...
This paper puts forward a new instrumental variables (IV) approach for linear panel data models with...
Kroh M, Karmann A, Kühne S. Estimating Mode Effects in Panel Surveys: A Multitrait Multimethod Appro...
This paper derives and gives explicit formulas for a derived sandwich variance estimate. This varian...
This paper develops an instrumental variables estimator for quantile regression in panel data with f...
The present article considers the problem of consistent estimation in measurement error models. A li...
In this paper we consider the polynomial regression model in the presence of multiplicative measurem...