The role of econometric techniques in dynamic modeling: Systematic bias in the estimation of stock adjustment models

1987 ◽  
Vol 3 (1) ◽  
pp. 45-67 ◽  
Author(s):  
Nathan B. Forrester
Keyword(s):  
Dynamic Modeling ◽  
Systematic Bias

Managing growth and change in an R & D organization: the role of dynamic modeling

1976 ◽  
Vol 6 (2) ◽  
pp. 77-80 ◽  
Author(s):  
L. E. Addison ◽  
J.W. Litchfield ◽  
J. V. Hansen
Keyword(s):  
Dynamic Modeling ◽  
Growth And Change

scholarly journals Biases in object location estimation: the role of camera rotations and translation

2021 ◽  
Author(s):  
Vladislava Segen
Keyword(s):  
Older Adults ◽  
Spatial Memory ◽  
Spatial Information ◽  
Location Estimation ◽  
Object Location ◽  
Systematic Bias ◽  
Accurate Representation ◽  
Object Locations ◽  
Age Related

The current study investigated a systematic bias in spatial memory in which people, following a perspective shift from encoding to recall, indicated the location of an object further to the direction of the shit. In Experiment 1, we documented this bias by asking participants to encode the position of an object in a virtual room and then indicate it from memory following a perspective shift induced by camera translation and rotation. In Experiment 2, we decoupled the influence of camera translations and camera rotations and examined also whether adding more information in the scene would reduce the bias. We also investigated the presence of age-related differences in the precision of object location estimates and the tendency to display the bias related to perspective shift. Overall, our results showed that camera translations led to greater systematic bias than camera rotations. Furthermore, the use of additional spatial information improved the precision with which object locations were estimated and reduced the bias associated with camera translation. Finally, we found that although older adults were as precise as younger participants when estimating object locations, they benefited less from additional spatial information and their responses were more biased in the direction of camera translations. We propose that accurate representation of camera translations requires more demanding mental computations than camera rotations, leading to greater uncertainty about the position of an object in memory. This uncertainty causes people to rely on an egocentric anchor thereby giving rise to the systematic bias in the direction of camera translation.

scholarly journals Integrated Transmission-and-Distribution System Modeling of Power Systems: State-of-the-Art and Future Research Directions

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 12
Author(s):  
Himanshu Jain ◽  
Bilal Ahmad Bhatti ◽  
Tianying Wu ◽  
Barry Mather ◽  
Robert Broadwater
Keyword(s):  
Steady State ◽  
Power Systems ◽  
Dynamic Modeling ◽  
Distribution System ◽  
System Modeling ◽  
Commercial Application ◽  
Future Research ◽  
Future Research Directions ◽  
Transmission And Distribution

Integrated transmission-and-distribution (T&D) modeling is a new and developing method for simulating power systems. Interest in integrated T&D modeling is driven by the changes taking place in power systems worldwide that are resulting in more decentralized power systems with increasingly high levels of distributed energy resources. Additionally, the increasing role of the hitherto passive energy consumer in the management and operation of power systems requires more capable and detailed integrated T&D modeling to understand the interactions between T&D systems. Although integrated T&D modeling has not yet found widespread commercial application, its potential for changing the decades-old power system modeling approaches has led to several research efforts in the last few years that tried to (i) develop algorithms and software for steady-state and dynamic modeling of power systems and (ii) demonstrate the advantages of this modeling approach compared with traditional, separated T&D system modeling. In this paper, we provide a review of integrated T&D modeling research efforts and the methods employed for steady-state and dynamic modeling of power systems. We also discuss our current research in integrated T&D modeling and the potential directions for future research. This paper should be useful for power systems researchers and industry members because it will provide them with a critical summary of current research efforts and the potential topics where research efforts are needed to further advance and demonstrate the utility of integrated T&D modeling.

scholarly journals The Role of Static and Dynamic Modeling in the Fort Nelson CCS Project

2013 ◽  
Vol 37 ◽  
pp. 3733-3741 ◽  
Author(s):  
C.D. Gorecki ◽  
G. Liu ◽  
T.P. Bailey ◽  
J.A. Sorensen ◽  
R.J. Klapperich ◽  
...  
Keyword(s):  
Dynamic Modeling

Depression as a Moderator in the Relationship between Direction of Social Comparison and Self Esteem

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1 ◽  
Author(s):  
G. Tallat ◽  
A. Kamal ◽  
S. Mccarthy
Keyword(s):  
Social Comparison ◽  
Cognitive Model ◽  
Negative Relationship ◽  
Marital Relationship ◽  
Married Couples ◽  
Self Esteem ◽  
Systematic Bias ◽  
Relationship Of ◽  
The Relationship

The present study explored the moderator role of depression in the relationship of self esteem and the direction of social comparison in the context of marital relationships among married couples. The relationship between the direction of social comparison and depression was also explored. The sample consisted of 100 married individuals (50 Married Couples) having diverse educational and occupational background and form all the three socio economic background. The sample was taken from different cities of Pakistan. The couples were requested to complete Beck Depression Inventory (BDI) and Index of Self Esteem (ISE) along with another scale, Social Comparison in Marital Relationship Measure (SCMRM). SCMRM was developed by the researcher to explore the couples’ inclination of comparing their spouses with others around them on different dimension of marital relationship satisfaction. The standardized method was used for the development of SCMRM. The study provided evidence of significant negative relationship of depression with social comparison in marital relationship and with self esteem. The findings also supported the hypothesis that depression will play a role of moderator in the relationship between direction of social comparison in marital relationship and self esteem. Beck's (1967) cognitive model of depression suggested that depressives’ systematic bias against the self is reflected in their tendency to compare themselves with better off others. Thus our results confirm the cognitive depressive model which proposed that depressives engage in dysfunctional social comparison (upward).

Judgement of Act-Outcome Contingency: The Role of Selective Attribution

1984 ◽  
Vol 36 (1) ◽  
pp. 29-50 ◽  
Author(s):  
Anthony Dickinson ◽  
David Shanks ◽  
John Evenden
Keyword(s):  
Associative Learning ◽  
Video Game ◽  
Systematic Bias ◽  
Causal Process ◽  
Absolute Value ◽  
Potential Target ◽  
Fixed Probability ◽  
Negative Contingency ◽  
Extended Exposure

In the first experiment subjects were presented with a number of sets of trials on each of which they could perform a particular action and observe the occurrence of an outcome in the context of a video game. The contingency between the action and outcome was varied across the different sets of trials. When required to judge the effectiveness of the action in controlling the outcome during a set of trials, subjects assigned positive ratings for a positive contingency and negative ratings for a negative contingency. Furthermore, the magnitude of the ratings was related systematically to the strength of the actual contingency. With a fixed probability of an outcome given the action, judgements of positive contingencies decreased as the likelihood that the outcome would occur without the action was raised. Correspondingly, the absolute value of ratings of negative contingencies was increased both by an increment in the probability of the outcome in the absence of the action and by a decrement in the probability of the outcome following the action. A systematic bias was observed, however, in that positive judgements were given under a non-contingent relationship when the outcome frequency was relatively high. However, this bias could be reduced by giving extended exposure to the non-contingent schedule (Experiment 2). This pattern of contingency judgements can be explained if it is assumed that a process of selective attribution operates, whereby people are less likely to attribute an outcome to some potential target cause if another effective cause is present. Experiments 2 and 3 demonstrated the operation of this process by showing that initially establishing another agent as an effective cause of the outcome subsequently reduced or blocked the extent to which the subjects attributed the outcome to the action. Finally, we argue that the pattern and bias in contingency judgements based upon interactions with a causal process can be explained in terms of contemporary conditioning models of associative learning.

An empirical illustration of the transformation process of purchasing

2016 ◽  
Vol 27 (1) ◽  
pp. 167-187 ◽  
Author(s):  
Yamen Koubaa
Keyword(s):  
Dynamic Modeling ◽  
Transformation Process ◽  
System Dynamic ◽  
Dynamic Approach ◽  
Specific Domain ◽  
Content Type ◽  
Modeling Approach ◽  
Strategic Role

Purpose – The purpose of this paper is to highlight the strategic role of purchasing and model its transformation process based on a case study of a military firm. Design/methodology/approach – The paper reviews the existing literature to highlight the strategic role of purchasing and put forward the transformations the function is undertaking. The model system dynamic approach is then detailed and applied to model the transformation of the purchasing function of a military firm. The modeling software Analytica is then used to run the model and get to results. Findings – The shift of purchasing toward a more strategic function is complex and multidimensional. Implementing these transformations requires flexible designing approaches such as the system dynamic modeling that incorporates both quantitative and qualitative variables to model the function’s changes. The paper details the methodology of applying the system dynamic approach. It recommends a new structure of the purchasing function as well as new and upgraded indicators of purchasing performance and suppliers’ management. Research limitations/implications – A single-case study research. Even though, the objective is not to generalize the findings but to enrich the existing literature as regard the system dynamic modeling in a specific domain, the one-case research setting can be seen as a limitation against generalizeable findings. Practical implications – A clear step-by-step action plan of conducting the transformation of the purchasing function using the system dynamic modeling approach. The paper gives ways to upgrade existing measures of purchasing and policies of suppliers’ management. Originality/value – The application of the system dynamic modeling approach to the specific domain of military purchasing.

Dynamic modeling of anaerobic methane oxidation coupled to sulfate reduction: role of elemental sulfur as intermediate

2021 ◽  
Vol 44 (4) ◽  
pp. 855-874
Author(s):  
Artin Hatzikioseyian ◽  
Susma Bhattarai ◽  
Chiara Cassarini ◽  
Giovanni Esposito ◽  
Piet N. L. Lens
Keyword(s):  
Sulfate Reduction ◽  
Methane Oxidation ◽  
Dynamic Modeling ◽  
Elemental Sulfur ◽  
Anaerobic Methane Oxidation
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