Types of union participators over time: Toward a person‐centered and dynamic model of participation

2019 ◽  
Vol 73 (2) ◽  
pp. 271-304
Author(s):  
Alexander S. McKay ◽  
Elizabeth M. Grimaldi ◽  
Gordon M. Sayre ◽  
Michael E. Hoffman ◽  
Robert D. Reimer ◽  
...  
Keyword(s):  
Dynamic Model ◽  
Over Time

Forecasting Interconnections in International Housing Markets: Evidence from the Dynamic Model Averaging Approach

2020 ◽  
Vol 42 (1) ◽  
pp. 37-103
Author(s):  
Hardik A. Marfatia
Keyword(s):  
Dynamic Model ◽  
Model Averaging ◽  
Housing Markets ◽  
The United States ◽  
Forecasting Model ◽  
Change Over Time ◽  
The United Kingdom ◽  
Novel Approach ◽  
Dynamic Model Averaging ◽  
Over Time

In this paper, I undertake a novel approach to uncover the forecasting interconnections in the international housing markets. Using a dynamic model averaging framework that allows both the coefficients and the entire forecasting model to dynamically change over time, I uncover the intertwined forecasting relationships in 23 leading international housing markets. The evidence suggests significant forecasting interconnections in these markets. However, no country holds a constant forecasting advantage, including the United States and the United Kingdom, although the U.S. housing market's predictive power has increased over time. Evidence also suggests that allowing the forecasting model to change is more important than allowing the coefficients to change over time.

scholarly journals OPTIMAL AIRLINE SEAT INVENTORY CONTROL FOR MULTI‐LEG FLIGHTS

Aviation ◽  
2004 ◽  
Vol 8 (4) ◽  
pp. 10-15
Author(s):  
Edgars K. Vasermanis ◽  
Nicholas A. Nechval ◽  
Konstantin N. Nechval ◽  
Kristine N. Rozite
Keyword(s):  
Dynamic Model ◽  
Inventory Control ◽  
Dynamic Models ◽  
Difficult Problem ◽  
Seat Allocation ◽  
The Right ◽  
Seat Inventory Control ◽  
Demand And Capacity ◽  
Over Time

Airline seat inventory control is about “selling the right seats to the right people at the right time”. In this paper, the problem of determining optimal booking policy for multiple fare classes in a pool of identical seats for multi‐leg flights is considered. During the time prior to departure of a multi‐leg flight, decisions must be made concerning the allocation of reserved seats to passengers requesting space on the full or partial spans of the flight. It will be noted that in the case of multi‐leg flights the long‐haul passengers are often unable to obtain seats because the shorter‐haul passengers block them. For large commercial airlines, efficiently setting and updating seat allocation targets for each passenger category on each multi‐leg flight is an extremely difficult problem. This paper presents static and dynamic models of airline seat inventory control for multi‐leg flights with multiple fare classes, which allow one to maximize the expected contribution to profit. The dynamic model uses the most recent demand and capacity information and allows one to allocate seats dynamically and anticipatorily over time.

scholarly journals Tempting goods, self-control fatigue, and time preference in consumer dynamics

2020 ◽  
Author(s):  
Shinsuke Ikeda ◽  
Takeshi Ojima
Keyword(s):  
Consumer Behavior ◽  
Dynamic Model ◽  
Time Preference ◽  
Consumer Preferences ◽  
Self Regulation ◽  
Self Control ◽  
Long Run ◽  
Regulatory Behavior ◽  
Good Setting ◽  
Over Time

Abstract We propose a dynamic model of consumer behavior under limited self-control, emphasizing the fatiguing nature of self-regulation. The temptation theory is extended in a two-good setting with tempting and non-tempting goods, where self-regulation in moderating tempting good consumption depreciates mental capital (willpower). The resulting non-homothetic feature of consumer preferences helps describe self-regulatory behavior in such an empirically relevant way that it depends on the nature of the tempting good (luxury or inferior) and on consumer wealth. First, richer consumers are more self-indulgent and impatient in consuming tempting luxuries, whereas less so in consuming tempting inferiors: impatience is marginally increasing in wealth for jewels whereas decreasing for junk foods. Second, self-control fatigue weakens implied patience for tempting good consumption. Third, upon a stressful shock, with the resulting increasing scarcity of willpower, self-indulgence and impatience for tempting good consumption increase over time. Fourth, naive consumers, unaware of the willpower constraint, display weaker self-control in the long run than sophisticated consumers in the same wealth class would do.

Dynamics on the Interactions between Vegetable Growth and Water Erosion

2013 ◽  
Vol 864-867 ◽  
pp. 2550-2553
Author(s):  
Biao Feng ◽  
Huang Yong Zhang ◽  
Tou Sheng Huang ◽  
Fei Fan Zhang
Keyword(s):  
Numerical Analysis ◽  
Equilibrium Point ◽  
Dynamic Model ◽  
Equilibrium Distribution ◽  
Water Erosion ◽  
Vegetation Growth ◽  
Vegetable Growth ◽  
Unique Distribution ◽  
Theoretical And Numerical Analysis ◽  
Over Time

This research investigates the interaction between vegetation growth and water erosion by a new dynamic model. According to the theoretical and numerical analysis of the research, there are three cases of equilibrium distribution and their dynamics over time. And the dynamics between vegetation and erosion is disparate under the condition of different parameters. Every equilibrium point also has a unique distribution under every set of parameters. When there are two interior equilibriums, a critical curve exists and divides the system into two areas, one is coexistence area and another is dominated by vegetation or erosion.

A Dynamic Model of Offshore Software Development

2011 ◽  
Vol 26 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Jason Dedrick ◽  
Erran Carmel ◽  
Kenneth L Kraemer
Keyword(s):  
Dynamic Model ◽  
Cumulative Effect ◽  
Knowledge Work ◽  
Theoretical Models ◽  
Feedback Loops ◽  
Development Activity ◽  
Firm Level ◽  
Economic Concept ◽  
Sourcing Decisions ◽  
Over Time

As the offshoring of knowledge work has accelerated, theoretical models to explain the phenomenon have not kept up. Most theoretical models assume a static transactional relationship from various factors to a binary offshoring decision. Such models do not take into account the mix of sourcing choices at the level of a firm, nor do they consider dynamic changes over time. To help fill these gaps, we use five case studies on offshore migration of software work by major US companies. Data were collected from senior executives. We use these data to develop a dynamic conceptual model that incorporates three factor groupings which collectively help explain offshore sourcing outcomes: (1) economic factors; (2) the nature of the development activity; and (3) managerial capabilities and practices. Importantly, the model includes five feedback loops among sourcing decisions, sourcing mix, and these three factors. Thus, the relationships in the model are not unidirectional, nor static; rather, they are Iterative and dynamic, involving feedback loops, learning, and cumulative effects over time. In this dynamic model, the sourcing ‘mix,’ a continuously changing offshore portfolio, is a key firm-level dependent variable, closer to the economic concept of a ‘stock’ measure that represents the cumulative effect of sourcing decisions over time. This variable may be measured in different ways, for instance as the amount of work done offshore, or the number of workers employed offshore.

scholarly journals Dynamic expressions of confidence within an evidence accumulation framework

2020 ◽  
Author(s):  
Kobe Desender ◽  
Tobias H. Donner ◽  
Tom Verguts
Keyword(s):  
Dynamic Model ◽  
Temporal Evolution ◽  
Human Behaviour ◽  
Evidence Accumulation ◽  
Decision Confidence ◽  
Confidence Judgments ◽  
Evidence Strength ◽  
Dot Motion ◽  
Over Time ◽  
Random Dot Motion

AbstractHuman observers can reliably report their confidence in the choices they make. An influential framework conceptualizes decision confidence as the probability of a decision being correct, given the choice made and the evidence on which it was based. This framework accounts for three diagnostic signatures of human confidence reports, including an opposite dependence of confidence on evidence strength for correct and error trials. However, the framework does not account for the temporal evolution of these signatures, because it only describes the transformation of a static representation of evidence into choice and the associated confidence. Here, we combine this framework with another influential framework: dynamic accumulation of evidence over time, and build on the notion that confidence reflects the probability of being correct, given the choice and accumulated evidence up until that point. Critically, we show that such a dynamic model predicts that the diagnostic signatures of confidence depend on time; most critically, it predicts a stronger opposite dependence of confidence on evidence strength and choice correctness as a function of time. We tested, and confirmed, these predictions in human behaviour during random dot motion discrimination, in which confidence judgments were queried at different points in time. We conclude that human confidence reports reflect the dynamics of the probability of being correct given the accumulated evidence and choice.

Sign in / Sign up

Export Citation Format

Share Document