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

Looking to the horizon: the role of bilirubin in the development and prevention of age-related chronic diseases

2015 ◽  
Vol 129 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Karl-Heinz Wagner ◽  
Marlies Wallner ◽  
Christine Mölzer ◽  
Silvia Gazzin ◽  
Andrew Cameron Bulmer ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Chronic Diseases ◽  
Elevated Serum ◽  
Future Research ◽  
Bile Pigment ◽  
Therapeutic Modalities ◽  
Age Related ◽  
All Cause Mortality ◽  
Novel Biomarkers ◽  
Future Research Directions

Bilirubin, the principal tetrapyrrole, bile pigment and catabolite of haem, is an emerging biomarker of disease resistance, which may be related to several recently documented biological functions. Initially believed to be toxic in infants, the perception of bilirubin has undergone a transformation: it is now considered to be a molecule that may promote health in adults. Data from the last decade demonstrate that mildly elevated serum bilirubin levels are strongly associated with reduced prevalence of chronic diseases, particularly cardiovascular diseases (CVDs), as well as CVD-related mortality and risk factors. Recent data also link bilirubin to other chronic diseases, including cancer and Type 2 diabetes mellitus, and to all-cause mortality. Therefore, there is evidence to suggest that bilirubin is a biomarker for reduced chronic disease prevalence and a predictor of all-cause mortality, which is of important clinical significance. In the present review, detailed information on the association between bilirubin and all-cause mortality, as well as the pathological conditions of CVD, cancer, diabetes and neurodegenerative diseases, is provided. The mechanistic background concerning how bilirubin and its metabolism may influence disease prevention and its clinical relevance is also discussed. Given that the search for novel biomarkers of these diseases, as well as for novel therapeutic modalities, is a key research objective for the near future, bilirubin represents a promising candidate, meeting the criteria of a biomarker, and should be considered more carefully in clinical practice as a molecule that might provide insights into disease resistance. Clearly, however, greater molecular insight is warranted to support and strengthen the conclusion that bilirubin can prevent disease, with future research directions also proposed.

scholarly journals Half-panel jackknife estimation for dynamic panel models

2020 ◽  
Vol 190 ◽  
pp. 109082
Author(s):  
Adrian Mehic
Keyword(s):  
Dynamic Panel ◽  
Panel Models ◽  
Dynamic Panel Models

On CUSUM test for dynamic panel models

2020 ◽  
Author(s):  
Minyoung Jo ◽  
Sangyeol Lee
Keyword(s):  
Cusum Test ◽  
Dynamic Panel ◽  
Panel Models ◽  
Dynamic Panel Models

scholarly journals Personality and Psychopathology: A Stagnant Field in Need of Development

2014 ◽  
Vol 28 (4) ◽  
pp. 362-386 ◽  
Author(s):  
C. Emily Durbin ◽  
Brian M. Hicks
Keyword(s):  
Developmental Psychopathology ◽  
Personality Development ◽  
Personality Change ◽  
Future Research ◽  
Personality Psychology ◽  
Causal Processes ◽  
Age Related ◽  
The Impact ◽  
Dominant Paradigm ◽  
Spectrum Model

A dominant paradigm in psychopathology research proposes that individual differences in personality are centrally involved in the origins and manifestations of psychopathology, and structural models of personality and psychopathology have been extremely useful in helping to organize associations among many traits and disorders. However, these models merely describe patterns of covariation; they do not explain the processes by which these patterns emerge. We argue that the field is stagnated, as it is overly focused on the demonstration of concurrent associations and on confirming a spectrum model that proposes traits and disorders are manifestations of the same underlying constructs. We contend that if the field is to move towards an understanding of causal processes, it must integrate knowledge and principles of personality development and developmental psychopathology. To begin this integration, we review (i) normative trends in personality change, (ii) age–related changes in the prevalence of disorders, and (iii) the impact of onset and chronicity on the severity of disorders. We propose several developmental processes that may contribute to the co–development of personality and psychopathology. We then present novel empirical findings to illustrate how a developmental perspective on traits and disorders can inform new hypotheses and propose principles and hypotheses that should guide future research. Copyright © 2014 European Association of Personality Psychology

Median-based estimation of dynamic panel models with fixed effects

2017 ◽  
Vol 113 ◽  
pp. 398-423 ◽  
Author(s):  
Geert Dhaene ◽  
Yu Zhu
Keyword(s):  
Fixed Effects ◽  
Dynamic Panel ◽  
Panel Models ◽  
Dynamic Panel Models
Sign in / Sign up

Export Citation Format

Share Document