Forward-Looking Behavior in Mobile Data Consumption and Targeted Promotion Design: A Dynamic Structural Model

2019 ◽  
Vol 30 (2) ◽  
pp. 616-635 ◽  
Author(s):  
Lizhen Xu ◽  
Jason A. Duan ◽  
Yu Jeffrey Hu ◽  
Yuan Cheng ◽  
Yan Zhu
Keyword(s):  
Structural Model ◽  
Mobile Data ◽  
Dynamic Structural Model ◽  
Data Consumption ◽  
Forward Looking

A Dynamic Structural Model for Heterogenous Mobile Data Consumption and Promotion Design

2015 ◽  
Author(s):  
Lizhen Xu ◽  
Jason A. Duan ◽  
Yu Jeffrey Hu ◽  
Yuan Cheng ◽  
Yan Zhu
Keyword(s):  
Structural Model ◽  
Mobile Data ◽  
Dynamic Structural Model ◽  
Data Consumption

scholarly journals Approximating the Cost-of-Living Index for a Storable Good

2018 ◽  
Vol 10 (2) ◽  
pp. 286-314 ◽  
Author(s):  
Matthew Osborne
Keyword(s):  
Regime Shift ◽  
Structural Model ◽  
Regime Shifts ◽  
Cost Of Living ◽  
Product Categories ◽  
Dynamic Structural Model ◽  
Fixed Base ◽  
Retail Prices ◽  
The Cost ◽  
Cost Of Living Index

This paper estimates a cost-of-living index using a dynamic structural model for two storable product categories. In each category, regime shifts to higher or lower retail prices are observed. Fixed-base indexes do a poor job of capturing changes in welfare after a regime shift, and deviate from the dynamic index by as much as 300 percent. I evaluate the extent to which two recently proposed indexes can approximate the model-derived index. These indexes improve welfare measurement and are straightforward to compute. The category’s competitive structure and features of the regime shift determine which of the two provides a better approximation. (JEL C43, C51, E31, L11)

Sponsored Data: Smarter Data Pricing with Incomplete Information

2021 ◽  
Author(s):  
Xiaowei Mei ◽  
Hsing Kenneth Cheng ◽  
Subhajyoti Bandyopadhyay ◽  
Liangfei Qiu ◽  
Lai Wei
Keyword(s):  
Consumer Surplus ◽  
Mobile Network ◽  
Complete Information ◽  
Consumer Welfare ◽  
High Definition ◽  
Mobile Data ◽  
Data Intensive ◽  
Data Consumption ◽  
New Business ◽  
The Impact

With the development of data-intensive internet services, the world has witnessed explosive growth in mobile data consumption during the last couple of years. The upcoming generation of 5G-capable phones and networks will continue and even accelerate that process. At the same time, consumers are becoming more conscious about their data consumption because their monthly caps of mobile data plans can be easily exhausted by premium content, such as high-definition videos and virtual-reality games. In response, the mobile network operators (MNOs) have proposed a new business model, the so-called sponsored data plans, to subsidize consumers by transferring at least part of the data bills from consumers to content providers. Although industry practitioners claim that sponsored data plans increase consumer welfare, our analysis reveals that the impact of sponsored data on consumer surplus depends crucially on whether the MNO has complete information of the consumers’ valuation of mobile data. Our analysis helps provide a clearer picture of the impact of sponsored data on consumer surplus while reconciling the conflicting views from scholars, digital rights groups, and the network carriers.

A Dynamic Structural Model of Education and Skills Requirements for Careers in Information Systems

2011 ◽  
pp. 1-26 ◽  
Author(s):  
Glenn R. Lowry ◽  
Rodney L. Turner ◽  
Julie Fisher
Keyword(s):  
Professional Development ◽  
Information Systems ◽  
Structural Model ◽  
Soft Skills ◽  
Working Environment ◽  
Relative Importance ◽  
Relative Contribution ◽  
Dynamic Structural Model ◽  
Is Professionals ◽  
Career Progress

This chapter presents a dynamic structural model of the relative contribution and importance of education and skills required of information systems (IS) professionals. Model development took into account the technical skills found in many tertiary IS programs, other business-oriented academic studies, and soft skills sought by employers in new graduates. The model also includes features of the working environment which influence the career progress of IS graduates. Acknowledging the importance of these four areas, the authors present a second-order structural model that links these areas and compares the application of this model to IS students and decision makers who employ graduates. The model fits the data for the two groups and exhibits some unexpected outcomes in the area of soft skills, with students attributing more importance to soft skills than IS managers. The model was employed to identify gender differences in perceptions of the relative contribution and importance of education and skills required of IS professionals. The model also includes features of the working environment which influence the career progress of IS graduates. The model was used to describe how attitudes and perceptions of IS professionals change across career stages as measured by age groupings. Changes in perceptions across four major age groupings show significant differences with respect to these factors according to age groups and by inference, career stage. The model allows, with some confidence, a quantitative interpretation of the relative importance of the respective variables from the perspectives of the student and employer stakeholder groups toward the education and professional development of IS professionals. The model also suggests the presence of contrasting, gender-based quantitative views of the relative importance of the respective variables to the education and professional development of IS professionals.

scholarly journals Measuring the Impact of Promotions on Brand Switching When Consumers Are Forward Looking

2003 ◽  
Vol 40 (4) ◽  
pp. 389-405 ◽  
Author(s):  
Baohong Sun ◽  
Scott A. Neslin ◽  
Kannan Srinivasan
Keyword(s):  
Structural Model ◽  
Simulated Data ◽  
Real Data ◽  
Reduced Form ◽  
Coefficient Estimates ◽  
Dynamic Structural Model ◽  
Brand Switching ◽  
Form Model ◽  
Reduced Form Model ◽  
The Impact

Logit choice models have been used extensively to study promotion response. This article examines whether brand-switching elasticities derived from these models are overestimated as a result of rational consumer adjustment of purchase timing to coincide with promotion schedules and whether a dynamic structural model can address this bias. Using simulated data, the authors first show that if the structural model is correct, brand-switching elasticities are overestimated by stand-alone logit models. A nested logit model improves the estimates, but not completely. Second, the authors estimate the models on real data. The results indicate that the structural model fits better and produces sensible coefficient estimates. The authors then observe the same pattern in switching elasticities as they do in the simulation. Third, the authors predict sales assuming a 50% increase in promotion frequency. The reduced-form models predict much higher sales levels than does the dynamic structural model. The authors conclude that reduced-form model estimates of brand-switching elasticities can be overstated and that a dynamic structural model is best for addressing the problem. Reduced-form models that include incidence can partially, though not completely, address the issue. The authors discuss the implications for researchers and managers.

J1030205 Identification of Dynamic Structural Model Using Multiple Objective Optimization Method

2015 ◽  
Vol 2015 (0) ◽  
pp. _J1030205--_J1030205- ◽  
Author(s):  
Yuki MIMURA ◽  
Masayuki ICHIMONJI ◽  
Kyohei HIRAI ◽  
Toshikazu NAGATA ◽  
Toshiaki HIRATE ◽  
...  
Keyword(s):  
Structural Model ◽  
Optimization Method ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Dynamic Structural Model

DOES MODEL UNCERTAINTY JUSTIFY CAUTION? ROBUST OPTIMAL MONETARY POLICY IN A FORWARD-LOOKING MODEL

2002 ◽  
Vol 6 (1) ◽  
pp. 111-144 ◽  
Author(s):  
Marc P. Giannoni
Keyword(s):  
Monetary Policy ◽  
Model Uncertainty ◽  
Structural Model ◽  
Optimal Monetary Policy ◽  
Taylor Rules ◽  
True Model ◽  
The Interest Rate ◽  
Zero Sum ◽  
General Method ◽  
Forward Looking

This paper proposes a general method based on a property of zero-sum two-player games to derive robust optimal monetary policy rules—the best rules among those that yield an acceptable performance in a specified range of models—when the true model is unknown and model uncertainty is viewed as uncertainty about parameters of the structural model. The method is applied to characterize robust optimal Taylor rules in a simple forward-looking macroeconomic model that can be derived from first principles. Although it is commonly believed that monetary policy should be less responsive when there is parameter uncertainty, we show that robust optimal Taylor rules prescribe in general a stronger response of the interest rate to fluctuations in inflation and the output gap than is the case in the absence of uncertainty. Thus model uncertainty does not necessarily justify a relatively small response of actual monetary policy.

scholarly journals A Dynamic Structural Model for Estrogen Receptor-α Activation by Ligands, Emphasizing the Role of Interactions between Distant A and E Domains

2002 ◽  
Vol 10 (5) ◽  
pp. 1019-1032 ◽  
Author(s):  
Raphaël Métivier ◽  
Alexander Stark ◽  
Gilles Flouriot ◽  
Michael R Hübner ◽  
Heike Brand ◽  
...  
Keyword(s):  
Estrogen Receptor ◽  
Structural Model ◽  
Estrogen Receptor Α ◽  
Dynamic Structural Model
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