A note on correcting biases in dynamic panel models

1987 ◽  
Vol 19 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Gopa Chowdhury
Keyword(s):  
Dynamic Panel ◽  
Panel Models ◽  
Dynamic Panel Models

Using Dynamic Panel Models to Study Age–Related Differences and Time–Related Changes in Personality

2019 ◽  
Vol 33 (3) ◽  
pp. 420-434 ◽  
Author(s):  
Jenny Wagner ◽  
Oliver Lüdtke ◽  
Manuel C. Voelkle
Keyword(s):  
Future Research ◽  
Continuous Variables ◽  
Dynamic Panel ◽  
Personality Psychology ◽  
Adult Lifespan ◽  
Panel Models ◽  
Age Related ◽  
Approaches To Study ◽  
Future Research Directions ◽  
Dynamic Panel Models

Along with an increasing interest in the plasticity and role of personality across the adult lifespan comes the need for a diverse set of innovative statistical approaches to study it. With this paper, we set out to illustrate some of the possibilities and challenges in modelling age–related differences and time–related changes in personality psychology by means of dynamic panel models. To this end, we first distinguish between the study of age–related differences and time–related changes and demonstrate how the treatment of age and time as either discrete or continuous variables implies important modelling choices. Second, we present a selection of four example cases that address the topic of age moderation in diverse matters and with different objectives. Based on our cross–tabulation of age and time as discrete and continuous variables, the first two example cases represent fairly well–established models (cases A and B), whereas the remaining cases are used to illustrate current developments in the field (cases C and D). We close the paper with some final remarks on current limitation and future research directions. © 2019 European Association of Personality Psychology

scholarly journals EFFICIENCY IN LARGE DYNAMIC PANEL MODELS WITH COMMON FACTORS

2014 ◽  
Vol 30 (5) ◽  
pp. 961-1020 ◽  
Author(s):  
Patrick Gagliardini ◽  
Christian Gourieroux
Keyword(s):  
Likelihood Function ◽  
Solvency Ii ◽  
Efficient Estimation ◽  
Dynamic Panel ◽  
Cross Sectional ◽  
Panel Models ◽  
Insurance Contracts ◽  
Credit Risk Analysis ◽  
Asymptotically Efficient ◽  
Dynamic Panel Models

This paper deals with asymptotically efficient estimation in exchangeable nonlinear dynamic panel models with common unobservable factors. These models are relevant for applications to large portfolios of credits, corporate bonds, or life insurance contracts. For instance, the Asymptotic Risk Factor (ARF) model is recommended in the current regulation in Finance (Basel II and Basel III) and Insurance (Solvency II) for risk prediction and computation of the required capital. The specification accounts for both micro- and macrodynamics, induced by the lagged individual observations and the common stochastic factors, respectively. For large cross-sectional and time dimensionsnandT, we derive the efficiency bound and introduce computationally simple efficient estimators for both the micro- and macroparameters. The results are based on an asymptotic expansion of the log-likelihood function in powers of 1/n, and are linked to granularity theory. The results are illustrated with the stochastic migration model for credit risk analysis.

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