Social and Behavioral Sciences Commons^™

How Sending E-Mails Compares With Carbon Emission Of Car Use, Thomas Menkhoff

Research Collection Lee Kong Chian School Of Business

Digitalnatives can reduce their carbon footprint by being conscious about Internetusage. Everwondered how your e-mails may contribute to your personal carbon footprint? Accordingto estimates published in Phys.org, sending a short e-mail adds about 4g of CO2equivalent (gCO2e) to the atmosphere (an e-mail with a long attachment has atenfold carbon footprint, that is 50 gCO2e.

On Strategy-Proofness And The Salience Of Single-Peakedness, Shurojit Chatterji, Jordi Masso

Research Collection School Of Economics

We consider strategy-proof social choice functions operating on a rich domain of preference profiles. We show that if the social choice function satisfies in addition tops-onlyness, anonymity and unanimity then the preferences in the domain have to satisfy a variant of single-peakedness (referred to as semilattice single-peakedness). We do so by deriving from the social choice function an endogenous partial order (a semilattice) from which the notion of a semilattice single-peaked preference can be defined. We also provide a converse of this main finding. Finally, we show how well-known restricted domains under which nontrivial strategy-proof social choice functions are admissible …

News Co-Occurrence, Attention Spillover, And Return Predictability, Li Guo, Lin Peng, Yubo Tao, Jun Tu

Research Collection School Of Economics

We examine the effect of investor attention spillover on stock return predictability. Using a novel measure, the News Network Triggered Attention index (NNTA), we find that NNTA negatively predicts market returns with a monthly in(out)-of-sample R-square of 5.97% (5.80%). In the cross-section, a long-short portfolio based on news co-occurrence generates a significant monthly alpha of 68 basis points. The results are robust to the inclusion of alternative attention proxies, sentiment measures, other news- and information-based predictors, across recession and expansion periods. We further validate the attention spillover effect by showing that news co-mentioning leads to greater increases in Google and …

Estimating Switching Costs With Market Share Data: An Application To Medicare Part D, Jung Won Yeo, Daniel P. Miller

Research Collection School Of Economics

Choice inertia and switching frictions are well-documented features of the demand for health insurance. In this paper, we estimate switching costs in the Medicare Part D market with aggregate market share data using standard discrete choice models for differentiated products. We consider various modelling assumptions: myopic and forward-looking consumers, and with and without random coefficients. Both myopic and forward-looking consumer models with no random coefficients yield switching cost estimates that closely match the actual average switching frequency, with implied dollar-valued switching costs of $1600 to $2000. We find the inclusion of random coefficients to the myopic consumer model results in …

Assessing The Effects Of Post-Crisis Regulatory Reforms On Liquidity In The Singapore Government Securities And Mas Bills Market, John M. Sequeira

Research Collection Lee Kong Chian School Of Business

The FSB initiated in 2017 an evaluation of the effects of post-crisis regulatory reforms, by developing a framework to assess whether the reforms are achieving their intended outcomes and identify any material unintended consequences. In tandem, MAS established an evaluation framework, which covers four broad impact areas, comprising FIs, financial markets, financial end-users and the broader financial landscape. Internationally, there have been particular concerns over whether post-crisis reforms may have impaired liquidity conditions in specific financial markets. We provide an assessment of the effects of the reforms on liquidity in a key market in Singapore, the SGS and MAS bills …

Landscapes Of Power: Politics Of Energy In The Navajo Nation, Sayd Randle

Research Collection College of Integrative Studies

Remote, extractive landscapes are often marked by persistent pollution, particularly when the extracted resource in question comes from underground and serves as a source of energy. The toxic legacies of fracking, mountaintop removal and more conventional mining projects are well documented at this point. The disproportionately polluted extractive ‘hinterland’ looms especially large in recent accounts of the rural West of the United States, which tend to emphasize the ways in which these ‘peripheries’ have enabled consumption and prosperity elsewhere (e.g. Kuletz 1998; Needham 2014; Voyles 2015). Dana Powell’s Landscapes of power (2018) moves swiftly beyond a recognition of such patterns …

On Incentive Compatible, Individually Rational Public Good Provision Mechanisms, Takashi Kunimoto, Cuiling Zhang

Research Collection School Of Economics

This paper characterizes mechanisms satisfying Bayesian incentive compatibility (BIC) and interim individual rationality (IIR) in the classical public good provision problem. Many papers in the literature obtain the results in the so-called standard model of ex ante identical agents with a continuous, closed interval of types. Although the standard model and more generally a continuum type space are widely used in the literature, it is nonetheless an abstraction of reality. Given that the public good provision problem has occupied a central application in the theory of mechanism design, we propose a "stress test" for the results in the standard model …

Specification Tests Based On Mcmc Output, Yong Li, Jun Yu, Tao Zeng

Research Collection School Of Economics

Two test statistics are proposed to determine model specification after a model is estimated by an MCMC method. The first test is the MCMC version of IOSA test and its asymptotic null distribution is normal. The second test is motivated from the power enhancement technique of Fan et al. (2015). It combines a component (J1) that tests a null point hypothesis in an expanded model and a power enhancement component (J0) obtained from the first test. It is shown that J0 converges to zero when the null model is correctly specified and diverges when the null model is misspecified. Also …

Estimation Of Large Dimensional Factor Models With An Unknown Number Of Breaks, Shujie Ma, Liangjun Su

Research Collection School Of Economics

In this paper we study the estimation of a large dimensional factor model when the factor loadingsexhibit an unknown number of changes over time. We propose a novel three-step procedure to detect the breaks if any and then identify their locations. In the first step, we divide the whole time span into subintervals and fit a conventional factor model on each interval. In the second step, we apply the adaptive fused group Lasso to identify intervals containing a break. In the third step, we devise a grid search method to estimate the location of the break on each identified interval. …

Entrepreneurship, College, And Credit: The Golden Triangle, Roberto M. Samaniego, Juliana Yu Sun

Research Collection School Of Economics

We develop a model to evaluate the aggregate impact of college finance in an environment with entrepreneurship. The calibrated model captures the stylized fact that entrepreneurs with college are more common and more profitable in the United States. The calibration indicates this is mainly because higher labor earnings allow college‐educated agents to ameliorate credit constraints if and when they eventually become entrepreneurs. Changes in financing constraints on entrepreneurs can thus affect college attendance, and changes in financing constraints on college can affect entrepreneurship rates as well.

Strategic Sequential Bidding For Government Land Auction Sales – Evidence From Singapore, Sumit Agarwal, Jing Li, Ernie Teo, Alan Cheong

Research Collection School Of Economics

This paper studies the extent to which equilibrium auction prices are pushed up sequentially due to strategic bidding behaviors in government land auction sales. Using a unique dataset that covers the universe of tendering prices submitted by all developers for all residential land auction sales in Singapore, we find that a tenderer’s bids are significantly higher where there was a previous land parcel sold within two years and located within four kilometers. The elevated price margin decreases with time and geographic distance. Tracking sequential bids submitted by same developers over time, we find that the incumbent winner of a previous …

Imaginary People Representing Real Numbers: Generating Personas From Online Social Media Data, Jisun An, Haewoon Kwak, Soongyo Jung, Joni Salminen, M. Admad, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

We develop a methodology to automate creating imaginary people, referred to as personas, by processing complex behavioral and demographic data of social media audiences. From a popular social media account containing more than 30 million interactions by viewers from 198 countries engaging with more than 4,200 online videos produced by a global media corporation, we demonstrate that our methodology has several novel accomplishments, including: (a) identifying distinct user behavioral segments based on the user content consumption patterns; (b) identifying impactful demographics groupings; and (c) creating rich persona descriptions by automatically adding pertinent attributes, such as names, photos, and personal characteristics. …

Comparing Elm With Svm In The Field Of Sentiment Classification Of Social Media Text Data, Zhihuan Chen, Zhaoxia Wang, Zhiping Lin, Ting Yang

Research Collection School Of Computing and Information Systems

Machine learning has been used in various fields with thousands of applications. Extreme learning machine (ELM), which is the most recently developed machine learning algorithm, has become increasingly popular for its good generalization ability. However, it has been relatively less applied to the domain of social media. Support Vector Machine (SVM), another popular learning-based algorithm, has been applied for sentiment classification of social media text data and has obtained good results. This paper investigates and compares the capabilities of these two learning-based methods in the field of sentiment classification of social media. The results indicate that SVM can obtain good …

Oral History Interview With Arnoud De Meyer, Arnoud De Meyer

Oral History Collection

The interview covered:

• Teaching and Curriculum – Title: Maintaining SMU’s competitive edge
• Challenges & Future; Title: Developing SMU into an internationally recognized university
• SMU research and its impact on society in Singapore
• Campus – Title: Renovating Campus Green
• Renovating Prinsep Street Residences
• SMU-X Building
• Designing SMU-X Building
• Building a culture of sustainability
• Goals as President
• Support from the government
• Advice for students – Grasping opportunities

Three Useful Things To Know About Running A Team, Singapore Management University

Perspectives@SMU

Best practice to inspire and ensure a successful group effort

U.S. Economic Outlook For The Rest Of 2018, Singapore Management University

Perspectives@SMU

Fed rates to inch up as GDP grows but China-U.S. trade war is a major worry

Future Is A Moving Goal Post: Academic Libraries And Change, Gulcin Cribb

Research Collection Library

No abstract provided.

Don’S Column: Singapore Corporate Tax Rate: Is It Really A Flat Rate?, Teng Aun Khoo, Clement Tan Kai Guan

Research Collection School Of Accountancy

As there is only one corporate tax rate (CTR) in Singapore, it may appear that the Singapore CTR is a single flat rate, currently 17%. However, after taking into account the availability of the partial tax exemption (PTE)scheme, the start-up tax exemption (SUTE) scheme and the corporate income tax rebate (CITR) in Singapore, all of which have an effect of lowering a company’s tax payable, the seemingly flat Singapore CTR is not what it seems to be. Instead, it translates to various progressive tax rates for different tiers of normal chargeable income (NCI).

Daily Satisfaction As A Joint Function Of Positive And Negative Affect: Moderating Effects Of Cognitive Habits, Indra Alam Syah Aziz

Dissertations and Theses Collection (Open Access)

The study aims to investigate the effects of individual differences in cognitive habits on the relation between affect and satisfaction in daily life. Specifically, this study aims to examine if individual differences in savouring, rumination and catastrophizing may moderate the effects of positive (PA) and negative affect (NA) on daily satisfaction judgments. 190 undergraduate students from Singapore Management University were recruited to participate in an experience sampling study in which they provided ratings of PA and NA across the day, as well as their end-of-day satisfaction levels over five days. Using multilevel modelling and response surface methodology, daily satisfaction levels …

Unearthing The X-Streams: Visualizing Water Contamination, Akangsha Bandalkul, Angad Srivastava, Kishan Bharadwaj Shridhar, Jason Guan Jie Ong, Yanrong Zhang

Research Collection School Of Computing and Information Systems

The datasets released for VAST 2018 Mini Challenge 2 pertain to sensor readings capturing chemical concentrations and physical properties from water bodies in the Boonsong Lekagul wildlife preserve. This challenge is in continuation to the VAST 2017 Challenge, where the company Kasios was identified as the culprit in dumping the chemical - Methylosmoline. In the absence of actual chemical measurements in the soil, challenge participants need to visualize chemical contamination based on the proximal water bodies to identify trends of interest. A horizon plot developed helps to narrow down the complete list of 106 chemicals provided to only 7, …

Traffic-Cascade: Mining And Visualizing Lifecycles Of Traffic Congestion Events Using Public Bus Trajectories, Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

As road transportation supports both economic and social activities in developed cities, it is important to maintain smooth traffic on all highways and local roads. Whenever possible, traffic congestions should be detected early and resolved quickly. While existing traffic monitoring dashboard systems have been put in place in many cities, these systems require high-cost vehicle speed monitoring instruments and detect traffic congestion as independent events. There is a lack of low-cost dashboards to inspect and analyze the lifecycle of traffic congestion which is critical in assessing the overall impact of congestion, determining the possible the source(s) of congestion and its …

Exploiting The Interdependency Of Land Use And Mobility For Urban Planning, Kasthuri Jayarajah, Andrew Tan, Archan Misra

Research Collection School Of Computing and Information Systems

Urban planners and economists alike have strong interest in understanding the inter-dependency of land use and people flow. The two-pronged problem entails systematic modeling and understanding of how land use impacts crowd flow to an area and in turn, how the influx of people to an area (or lack thereof) can influence the viability of business entities in that area. With cities becoming increasingly sensor-rich, for example, digitized payments for public transportation and constant trajectory tracking of buses and taxis, understanding and modelling crowd flows at the city scale, as well as, at finer granularity such as at the neighborhood …

Inferring Trip Occupancies In The Rise Of Ride-Hailing Services, Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Tuan-Anh Hoang

Research Collection School Of Computing and Information Systems

The knowledge of all occupied and unoccupied trips made by self-employed drivers are essential for optimized vehicle dispatch by ride-hailing services (e.g., Didi Dache, Uber, Lyft, Grab, etc.). However, the occupancy status of vehicles is not always known to the service operators due to adoption of multiple ride-hailing apps. In this paper, we propose a novel framework, Learning to INfer Trips (LINT), to infer occupancy of car trips by exploring characteristics of observed occupied trips. Two main research steps, stop point classification and structural segmentation, are included in LINT. In the stop point classification step, we represent a vehicle trajectory …

Dialogue With Religious Life In Asia, Lily Kong, Junxi Qian

Research Collection School of Social Sciences

Over the past decade or so, debates on the advent of a postsecular present have moved center-stage in social and cultural theory. These exchanges have made commendable achievements in analyzing the increasing relevance of religion to public politics and policies. Theorization of the postsecular makes for a hefty intellectual agenda, and a comprehensive review of this agenda is clearly beyond the scope of a single contribution, addressed, more appropriately, in a collective way by this Handbook. Nevertheless, we would like to contribute a few ideas to help delineate the broader permutations of the postsecular turn in social sciences, which serve …

Adjusting Bilingual Ratings By Retest Reliability Improves Estimation Of Translation Quality, Dustin Wood, Lin Qiu, Jiahui Lu, Han Lin, William Tov

Research Collection School of Social Sciences

The quality of cross-language scale translations is often explored by having bilingual participants complete the scale in both languages and then correlating their scores. However, low cross-language correlations can be observed due to score unreliability rather than due to poor scale translation. McCrae, Yik, Trapnell, Bond, and Paulhus suggested that a better indicator of translation quality can be formed by dividing the raw cross-language correlation by the same-language retest correlations over a similar measurement interval. Here, we illustrate how this method can be extended to evaluate the translation quality of individual items. We translated the English version of the Inventory …

Candidate-Centric Systems And The Politicization Of Ethnicity: Evidence From Indonesia, Colm A. Fox

Research Collection School of Social Sciences

When and why do electoral candidates politicize ethnicity? From the literature, we might expect this behaviour to occur during democratic transitions or under proportional rules. However, empirical support for these arguments is mixed. This article presents a new approach, arguing that candidate-centric rules offer candidates incentives to politicize ethnicity. The argument is tested in Indonesia with empirical evidence drawn from coding newspaper reports on campaign events, endorsements and group appeals. Indonesia used party-centric rules from 1997 to 2004, and even though the country democratized during this period, the politicization of ethnicity actually declined. I show how party-centric rules, coupled with …

Marginalized Migrants And Urbanization In Southeast Asia, George Wong, George Wong

Research Collection School of Social Sciences

Asia is now the region with the largest movements of migrants in the world. International migration within Asia accounts for a significant proportion of those mobilities, with Southeast Asia a highly popular destination region. Within this zone, Thailand, Brunei and Malaysia receive the highest levels of migrants. The city-state of Singapore, however, tops the list, with the highest total population of international migrant arrivals, and about 53 per cent of its foreign resident population coming from other parts of ASEAN (Association of Southeast Asian Nations) region. Most migrants who move transnationally migrate to engage in low waged dirty, dangerous and …

The Politics Of Disaster: The Great Singapore Flood Of 1954, Fiona Williamson

Research Collection School of Social Sciences

Singapore in the 1950s was a deeply divided society. Struggling to recover from the hardships ofthe Second World War and fighting an internal battle that the British government termed an‘emergency’, it was a time of hardship, tension, and anxiety. In the midst of this crisis, Singapore’sinhabitants continued to manage the natural elements of their climate and environment, especiallythe dangerous combination of heavy monsoonal rains, low-lying marshland, and tidal flooding.This article examines the circumstances surrounding a particularly severe episode of flooding thatoccurred in December 1954. It explores how the flood’s impact was exacerbated by humanexigencies, especially recent government resettlement plans and …

Blaunet: An R-Based Graphical User Interface Package To Analyze Blau Space, Michael Genkin, Cheng Wang, George Berry, Matthew E. Brashears

Research Collection School of Social Sciences

McPherson’s Blau space and affiliation ecology model is a powerful tool for analyzing the ecological competition among social entities, such as organizations, along a combination of sociodemographic characteristics of their members. In this paper we introduce the R-based Graphical User Interface (GUI) package Blaunet, an integrated set of tools to calculate, visualize, and analyze the statuses of individuals and social entities in Blau space, parameterized by multiple sociodemographic traits as dimensions. The package is able to calculate the Blau statuses at the nodal, dyadic, and meso levels based on three types of information: sociodemographic characteristics, group affiliations (e.g., membership in …

Review Of Daniel Chua, Us-Singapore Relations, 1965-1975: Strategic Non-Alignment In The Cold War, Wen-Qing (Wei Wenqing) Ngoei

Research Collection School of Social Sciences

The history of U.S.-Southeast Asian relations during the Cold War is dominated by studies of American involvement in Vietnam. If understandable, this state of affairs is nevertheless regrettable. For, even though U.S. cold warriors viewed the fates of Southeast Asia’s states as interconnected and pursued a containment strategy focused on the entire region, scholars of U.S. foreign relations with Southeast Asia pay outsized attention to Vietnam. There remain disappointingly few major works on U.S.-Indonesian relations despite years of American interference in Indonesia due to its huge population, the one-time prominence of its Beijing-oriented communist party, and firm American support for …