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INFORMS Philadelphia – 2015

498

WE60

60-Room 111A, CC

Operations/Economics Interface III

Contributed Session

Chair: Cigdem Gizem Korpeoglu, PhD Candidate, Carnegie Mellon

University Tepper School of Business, 5700 Bunkerhill Street,

Apt 804, Pittsburgh, PA, 15206, United States of America,

cpala@andrew.cmu.edu

1 - Targeted Advertising and Privacy Concerns in Online

Advertising Markets

Nabita Penmetsa, Assistant Professor, University of Utah,

Eccles School of Business, Salt Lake City, UT, 84112,

United States of America,

nabita@business.utah.edu

We analyze the nature of competition between online advertising platforms in

order to understand how privacy concerns of users influence the competitive

outcome. The presence of heterogeneity in the user and the advertiser

populations leads to differentiation between the platforms in the level of privacy

protection that they offer to users and in the targeting capabilities that they offer

to advertisers. This differentiation leads to segmentation of both the user and the

advertiser markets.

2 - Asymmetric Trade Liberalization, Comparative Advantage and

Heterogeneous Firms

Wenxing Nie, Tongji University, 1239 Siping Road, Shanghai, P.R.

China, Shanghai, China,

niewenxing@tongji.edu.cn

, Yingzhe Gu

Asymmetric trade liberalization occurs when a country suddenly slashes or soars

its trade barriers. When this happens, the country which takes initiative in

reducing trade barriers would suffer from net job destructions but enjoy better

welfare and higher factor rewards. The country which remains the same trade

barriers would benefit from net job creations but have lower welfare and factor

rewards. The comparative advantage industries have relatively higher factor

rewards and job destructions.

3 - Consumer Unions: Blessing or Curse?

Cigdem Gizem Korpeoglu, PhD Candidate, Carnegie Mellon

University Tepper School of Business, 5700 Bunkerhill Street

Apt 804, Pittsburgh, PA, 15206, United States of America,

cpala@andrew.cmu.edu

We study whether coalitions of consumers are beneficial to consumers when

producers have market power. We refer to coalitions of consumers as consumer

unions and the number of consumers in a union as union size. We establish that

consumer welfare decreases with union size when the union size is above a

threshold. We also prove that consumer unions discourage producers’

investments, which may have repercussions for long-term consumer welfare.

WE61

61-Room 111B, CC

Operations/Economics Interface II

Contributed Session

Chair: Yunbin Shen, PhD Student, Tongji University,

1239th Siping Road, Shanghai, China,

sybfamily@163.com

1 - Judgment Error in Lottery Play: When the Hot-hand Meets the

Gambler’s Fallacy

Qingxia Kong, Universidad Adolfo Ibáñez, Santiago,

Santiago, Chile,

q.kong@uai.cl

We demonstrate that lottery markets can exhibit the “hot-hand” phenomenon,

where past winning numbers tend to have greater share of the betting proportion

in future draws, even though past and the future events are independent. We use

two sets of lottery game data to show that both the gambler’s fallacy and hot-

hand fallacy can prevail under different gaming environments, contingent on the

design (e.g., prize structures) of the lottery games.

2 - Oligopoly Pricing with Reference-price Effects

Paola Labrecciosa, Monash University, Wellington Road, Clayton

Campus, Melbourne, Australia,

paola.labrecciosa@monash.edu

,

Luca Colombo

We propose an infinite-horizon continuous-time model of oligopolistic

competition with differentiated products and reference-price effects. We derive

open-loop and closed-loop pricing strategies. We show that: (i) reference-price

effects are pro-competitive; (ii) the equilibrium price can be either increasing or

decreasing over time; (iii) when the speed of adjustment of the reference price

becomes instantaneous, the stationary equilibrium price converges to the

marginal cost.

3 - The Effect of Industry-Specify Exchange Rate Movements on the

Manufacturing Productivity in China

Yunbin Shen, PhD Student, Tongji University, 1239th Siping

Road, Shanghai, China,

sybfamily@163.com

, Yingzhe Gu,

Yulin Fu

The industry-specify real effective exchange rate (IREER) is more useful than the

aggregate exchange rate on analyzing the effect of exchange rate movements on

the total factor productivity (TFP). We use the product-level China customs data

to calculate the IREER of 30 industries. The results of quantile regression shows

that IREER has a significant impact on the TFP and many industries exhibit a

downward sloping quantile regression curve, which means the selection effect

and scale effect exist.

WE62

62-Room 112A, CC

Resilience in Power Systems

Cluster: Energy Systems: Design, Operation, Reliability

and Maintenance

Invited Session

Chair: Feng Qiu, Argonne National Laboratory, 9700 S. Cass Ave.,

Argonne, IL, 60439, United States of America,

fqiu@anl.gov

1 - Enhancing Resilience of Power Systems with

Renewables Integration

Yunhe Hou, Assistant Professor, The University of Hong Kong,

Room 522, CYC Building, Hong Kong, Hong Kong - PRC,

yhhou@eee.hku.hk,

Zhijun Qin

Resilience is well identified as one of the key functionaries of the future energy

delivery systems. The overall functionary requirements for a resilient power grid

will be discussed first. The systematic solution to improve the self-healing

capability, the key function of resilience, will be discussed in detail.Especially, the

method to involve the contribution of renewables during self-healing process will

be discussed.

2 - Electric Distribution Resilience – Asset vs. System Resilience to

Extreme Weather Events

Julia Phillips, Argonne National Laboratory, 9700 S Cass Ave,

Argonne, IL, United States of America,

phillipsj@anl.gov

With the increase in awareness and concern surrounding extreme weather events

due to climate change, resilience of the Nation’s critical lifeline infrastructure is

paramount. Capturing resilience of a single asset can be complicated, while

resilience for the system increases complexity dramatically. We focus on capturing

system resilience of electric distribution infrastructure to extreme weather events,

to include intangible resilience activities, such as planning, training and

exercising.

3 - Assessing and Improving the Operational Resilience of

Interdependent Energy Infrastructure Systems

David Alderson, Associate Professor, Naval Postgraduate School,

1411 Cunningham Rd, Monterey, CA, 93943, United States of

America,

dlalders@nps.edu

, W. Matthew Carlyle,

Michael Dickenson

We formulate and solve a model of interdependent fuel and electric power

infrastructure systems that includes the fuel required to run electric power

generators and the power required to pump fuel. Our model determines a set of

fuel and power flows that yield minimum operating cost of both systems. We

contrast solutions for individual system operation with a global solution for the

combined system, and consider both worst-case disruptions and best possible

mitigations to the combined system.

4 - Accident Risk Assessment in Fossil Energy Chains using a

Bayesian Model Averaging Approach

Matteo Spada, Senior Researcher, Paul Scherrer Institut,

OHSA/D19, Villigen PSI, AG, 5232, Switzerland,

matteo.spada@psi.ch,

Peter Burgherr

This study analyzed the risk, and its uncertainty, for fatal accidents within full

fossil energy chains, collected in the Energy-related Severe Accident Database

(ENSAD), through the application of a Bayesian Model Averaging. The proposed

approach provides a unified framework that comprehensively covers accident

risks in energy chains, and allows calculating specific risk indicators, including

their uncertainties, to be used in a holistic evaluation of energy technologies.

WE60