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Articles 4861 - 4890 of 9289

Full-Text Articles in Social and Behavioral Sciences

Determining Individual Or Time Effects In Panel Data Models, Xun Lu, Liangjun Su Jan 2017

Determining Individual Or Time Effects In Panel Data Models, Xun Lu, Liangjun Su

Research Collection School Of Economics

In this paper we propose a jackknife method to determine individual and time e⁄ects in linear panel data models. We rst show that when both the serial and cross-sectional correlation among the idiosyncratic error terms are weak, our jackknife method can pick up the correct model with probability approaching one (w.p.a.1). In the presence of moderate or strong degree of serial correlation, we modify our jackknife criterion function and show that the modied jackknife method can also select the correct model w.p.a.1. We conduct Monte Carlo simulations to show that our new methods perform remarkably well in nite samples. We …

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Nationalism And International Disputes In China: Implications For Transnational Corporations As Corporate Diplomats, Lisa Tam, Soojin Kim Jan 2017

Nationalism And International Disputes In China: Implications For Transnational Corporations As Corporate Diplomats, Lisa Tam, Soojin Kim

Research Collection Lee Kong Chian School Of Business

For decades, the territorial dispute between China and Japan over the sovereignty of the Senkaku Islands has caused diplomatic deteriorations in Sino-Japanese relations. When there is extensive media coverage on news about the dispute, nationalist sentiments in both two countries would be triggered and could be expressed through detrimental behaviors towards transnational corporations (hereinafter TNCs). While TNCs play a significant political function as corporate diplomats for their home countries, they are subject to the risk of crises when their home countries are involved in political and economic conflicts with the foreign countries in which they have operations. Against this backdrop, …

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Comments On “Rich Debt, Poor Debt: Assessing Household Indebtedness And Debt Repayment Capacity”, Sock Yong Phang Jan 2017

Comments On “Rich Debt, Poor Debt: Assessing Household Indebtedness And Debt Repayment Capacity”, Sock Yong Phang

Research Collection School Of Economics

This paper assesses the system-wide impacts of Malaysia’s rising household debt.Malaysia’s household debt-to-GDP ratio (HDGR) increased from 76% in 2009 to 89%in 2016. This increase has raised concerns regarding the implications for householdfinancial resilience and banking system stability. The paper uses a micro-level datasetthat integrates income and debt to calculate financial margin (FM) and the probabilityof default (PD) for individuals at the baseline, and when subject to various shocks.This allows the estimation of loss to lenders in the event of default, and from there,the banking system’s debt-at-risk. The findings show that default is more likely forhouseholds with a debt service …

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Comments On “Rich Debt, Poor Debt: Assessing Household Indebtedness And Debt Repayment Capacity”, Sock Yong Phang Jan 2017

Comments On “Rich Debt, Poor Debt: Assessing Household Indebtedness And Debt Repayment Capacity”, Sock Yong Phang

Research Collection School Of Economics

This paper assesses the system-wide impacts of Malaysia’s rising household debt.Malaysia’s household debt-to-GDP ratio (HDGR) increased from 76% in 2009 to 89%in 2016. This increase has raised concerns regarding the implications for householdfinancial resilience and banking system stability. The paper uses a micro-level datasetthat integrates income and debt to calculate financial margin (FM) and the probabilityof default (PD) for individuals at the baseline, and when subject to various shocks.This allows the estimation of loss to lenders in the event of default, and from there,the banking system’s debt-at-risk. The findings show that default is more likely forhouseholds with a debt service …

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Mixed-Scale Jump Regressions With Bootstrap Inference, Jia Li, Viktor Todorov, George Tauchen Jan 2017

Mixed-Scale Jump Regressions With Bootstrap Inference, Jia Li, Viktor Todorov, George Tauchen

Research Collection School Of Economics

We develop an efficient mixed-scale estimator for jump regressions using high-frequency asset returns. A fine time scale is used to accurately identify the locations of large rare jumps in the explanatory variables such as the price of the market portfolio. A coarse scale is then used in the estimation in order to attenuate the effect of trading frictions in the dependent variable such as the prices of potentially less liquid assets. The proposed estimator has a non-standard asymptotic distribution that cannot be made asymptotically pivotal via studentization. We propose a novel bootstrap procedure for feasible inference and justify its asymptotic …

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Strategy-Proofness Of The Probabilistic Serial Rule On Sequentially Dichotomous Domains, Peng Liu Jan 2017

Strategy-Proofness Of The Probabilistic Serial Rule On Sequentially Dichotomous Domains, Peng Liu

Research Collection School Of Economics

A class of preference domains is proposed: sequentially dichotomous domains. On any sequentially dichotomous domain, the probabilistic serial rule (Bogomolnaia and Moulin (2001)) is sd-strategy-proof. In addition, any sequentially dichotomous domain is maximal for the probabilistic serial rule to be sd-strategy-proof.

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On Estimating Market Microstructure Noise Variance, Yingjie Dong, Yiu Kuen Tse Jan 2017

On Estimating Market Microstructure Noise Variance, Yingjie Dong, Yiu Kuen Tse

Research Collection School Of Economics

We study the market microstructure noise-variance estimation of high-frequency stock prices. Based on the Hansen and Lunde (2006) approach, we propose estimates using subsampling method at different time scales. We conduct a Monte Carlo study to compare our method against others in the literature. Our results show that our proposed estimates have lower (absolute) mean error and root mean-squared error, and their performance is quite stable at different time scales.

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A Multivariate Stochastic Unit Root Model With An Application To Derivative Pricing, Offer Lieberman, Peter C. B. Phillips Jan 2017

A Multivariate Stochastic Unit Root Model With An Application To Derivative Pricing, Offer Lieberman, Peter C. B. Phillips

Research Collection School Of Economics

This paper extends recent findings of Lieberman and Phillips (2014) on stochastic unit root (STUR) models to a multivariate case including asymptotic theory for estimation of the model's parameters. The extensions are useful for applications of STUR modeling and because they lead to a generalization of the Black-Scholes formula for derivative pricing. In place of the standard assumption that the price process follows a geometric Brownian motion, we derive a new form of the Black-Scholes equation that allows for a multivariate time varying coefficient element in the price equation. The corresponding formula for the value of a European-type call option …

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Estimating Smooth Structural Change In Cointegration Models, Peter C. B. Phillips, Degui Li, Jiti Gao Jan 2017

Estimating Smooth Structural Change In Cointegration Models, Peter C. B. Phillips, Degui Li, Jiti Gao

Research Collection School Of Economics

This paper studies nonlinear cointegration models in which the structural coefficients may evolve smoothly over time, and considers time-varying coefficient functions estimated by nonparametric kernel methods. It is shown that the usual asymptotic methods of kernel estimation completely break down in this setting when the functional coefficients are multivariate. The reason for this breakdown is a kernel induced degeneracy in the weighted signal matrix associated with the nonstationary regressors, a new phenomenon in the kernel regression literature. Some new techniques are developed to address the degeneracy and resolve the asymptotics, using a path-dependent local coordinate transformation to reorient coordinates and …

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Reducing Extreme Poverty Through Skill Training For Industry Job Placement, Abu S. Shonchoy, Selim Raihan, Tomoki Fujii Jan 2017

Reducing Extreme Poverty Through Skill Training For Industry Job Placement, Abu S. Shonchoy, Selim Raihan, Tomoki Fujii

Research Collection School Of Economics

Vocational training programs aimed at rapidly growing sectors have the potential to reduce skills gaps, improve income and employment potentials. Such programs often been unsuccessful, because they are not driven by industry-demand and market-linkages, and they are not well targeted. Our rigorous RCT-based impact study shows that a targeted training-program offered to poor rural households in northwest Bangladesh has significant effects on employment in garment factories. Data from a follow-up — six and twelve months’ after the intervention — shows a statistically significant and large employment effect of the training program when it is combined with the stipend or internship.This …

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Jump Regressions, Jia Li, Viktor Todorov, George Tauchen Jan 2017

Jump Regressions, Jia Li, Viktor Todorov, George Tauchen

Research Collection School Of Economics

We develop econometric tools for studying jump dependence of two processes from high-frequency observations on a fixed time interval. In this context, only segments of data around a few outlying observations are informative for the inference. We derive an asymptotically valid test for stability of a linear jump relation over regions of the jump size domain. The test has power against general forms of nonlinearity in the jump dependence as well as temporal instabilities. We further propose an efficient estimator for the linear jump regression model that is formed by optimally weighting the detected jumps with weights based on the …

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Estimating And Decomposing Changes In The White-Black Homeownership Gap From 2005 To 2011, Kiat Ying Seah, Eric Fesselmeyer, Kien Le Jan 2017

Estimating And Decomposing Changes In The White-Black Homeownership Gap From 2005 To 2011, Kiat Ying Seah, Eric Fesselmeyer, Kien Le

Research Collection College of Integrative Studies

This study evaluates the effects of the recent US housing bust on the White-Black homeownership gap by estimating and decomposing the changes in the distribution of the gap between 2005 and 2011. Our analysis shows that the housing bust did not affect the homeownership gap uniformly. In fact, we find that the gap decreased for households that were the least likely to own and remained unchanged for households that were the most likely to own, and that Black households with around a 50% probability of homeownership were especially vulnerable to the crisis. We also find that the contribution of the …

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Retirement Adequacy Of Mature Workers In Singapore, Rhema Vaithianathan, Stephen Hoskins Jan 2017

Retirement Adequacy Of Mature Workers In Singapore, Rhema Vaithianathan, Stephen Hoskins

Research Collection School Of Economics

In the last decade, the Singapore resident population has grown older with more elderly and fewer younger people. As Singapore Department of Statistics noted, the proportion of residents aged 65 years and over has increased from 9% to 13% over the past ten years. There are now fewer working-age adults to support each resident aged 65 years and over as indicated by the falling resident old-age support ratio from 7.7 in 2007 to 5.1 in 2017. The support ratio is expected to halve to 2.5 by 2030. As Singaporeans are both living and working longer, it is vital for the …

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Worker Selection, Hiring, And Vacancies, Ismail Baydur Jan 2017

Worker Selection, Hiring, And Vacancies, Ismail Baydur

Research Collection School Of Economics

The ratio of hirings to vacancies in the U.S. has the following establishment level properties: (i) it steeply rises with employment growth rate; (ii) falls with establishment size; and (iii) rises with worker turnover rate. The standard Diamond-Mortensen Pissarides (DMP) matching model is not compatible with these observations. This paper augments selection of workers prior to hiring into a random matching model with multi-worker firms. In the calibrated model, worker selection accounts for about 30% of the variation in the hiring-vacancy ratio observed in the data. Compared to the standard model, the worker selection model has both qualitative and quantitative …

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Viewed By Too Many Or Viewed Too Little: Using Information Dissemination For Audience Segmentation, Bernard J. Jansen, Soon-Gyu Jung, Joni Salminen, Jisun An, Haewoon Kwak Jan 2017

Viewed By Too Many Or Viewed Too Little: Using Information Dissemination For Audience Segmentation, Bernard J. Jansen, Soon-Gyu Jung, Joni Salminen, Jisun An, Haewoon Kwak

Research Collection School Of Computing and Information Systems

The identification of meaningful audience segments, such as groups of users, consumers, readers, audience, etc., has important applicability in a variety of domains, including for content publishing. In this research, we seek to develop a technique for determining both information dissemination and information discrimination of online content in order to isolate audience segments. The benefits of the technique include identification of the most impactful content for analysis. With 4,320 online videos from a major news organization, a set of audience attributes, and more than 58 million interactions from hundreds of thousands of users, we isolate the key pieces of content …

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Ajit Singh [Malyasia, Asean Secretary-General, Diplomat], Ajit Singh Dec 2016

Ajit Singh [Malyasia, Asean Secretary-General, Diplomat], Ajit Singh

Digital Narratives of Asia

After thirty years as a career diplomat, Malaysia's first ASEAN Secretary-General Ajit Singh, sees his five-year term as the most productive, golden years of his life. He speaks to DNA about the challenges he faced with admitting Myanmar to ASEAN, and the visionary ASEAN leadership. He also expounds on the differences in impacts of work between an ambassador and a bureaucrat.

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From Ranganathan To Amazon: Are We There Yet?, Gulcin Cribb Dec 2016

From Ranganathan To Amazon: Are We There Yet?, Gulcin Cribb

Research Collection Library

No abstract provided.

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Free Articles And Accounting For The Timing Effect, Nursyeha Yahaya, Chee Hsien Aaron (Zheng Zhixian) Tay Dec 2016

Free Articles And Accounting For The Timing Effect, Nursyeha Yahaya, Chee Hsien Aaron (Zheng Zhixian) Tay

Research Collection Library

Various studies have attempted to assess the amount of free full text available on the web and recent work have suggested that we are close to the 50% mark for freely available articles (Archambault et al. 2013; Bjork et al. 2010; Jamali and Nabavi 2015). It is natural to wonder if this might reduce researchers' reliance on library subscriptions for access. To do so, we need to determine not just what papers researchers are citing to that are free today, but to estimate if the papers they were citing were freely available at the time they were citing it. We …

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Traffic Simulation Model For Port Planning And Congestion Prevention, Baoxiang Li, Kar Way Tan, Trong Khiem Tran Dec 2016

Traffic Simulation Model For Port Planning And Congestion Prevention, Baoxiang Li, Kar Way Tan, Trong Khiem Tran

Research Collection School Of Computing and Information Systems

Effective management of land-side transportation provides the competitive advantage to port terminal operators in improving services and efficient use of limited space in an urban port. We present a hybrid simulation model that combines traffic-flow modeling and discrete-event simulation for land-side port planning and evaluation of traffic conditions for a number of what-if scenarios. We design our model based on a real-world case of a bulk cargo port. The problem is interesting due to complexity of heterogeneous closed-looped internal vehicles and external vehicles traveling in spaces with very limited traffic regulation (no traffic lights, no traffic wardens) and the traffic …

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‘Tweetboard’ – A Case Study Of Developing A Micro-Blogging Platform For Higher Education, Shao Cheh Joyce Hsu, Gan, Benjamin, Jin Lee, Shu Hui Sheryl Lim, Xie Yan Jeremy Lim, Thomas Menkhoff, Si Xian Sherman Tan, Charles Jason Woodard, Qiu Cheng Yap Dec 2016

‘Tweetboard’ – A Case Study Of Developing A Micro-Blogging Platform For Higher Education, Shao Cheh Joyce Hsu, Gan, Benjamin, Jin Lee, Shu Hui Sheryl Lim, Xie Yan Jeremy Lim, Thomas Menkhoff, Si Xian Sherman Tan, Charles Jason Woodard, Qiu Cheng Yap

Research Collection School Of Computing and Information Systems

This paper reports experiences made at an Asian university in developing a social media platform based on Twitter in the context of a final year capstone project where information systems management students get an opportunity to solve ‘a real-world problem for a real client’. In this case study, the challenge was provided by a faculty member’s request for an interactive social media application which engages less outspoken students in class via a social medium they are familiar with: Twitter. We reconstruct the project’s evolution; describe the main features of the application called ‘TweetBoard’ and share lessons learned in developing a …

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Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang Dec 2016

Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang

Research Collection School Of Computing and Information Systems

Microblogging services allow users to create hashtags to categorize their posts. In recent years,the task of recommending hashtags for microblogs has been given increasing attention. However,most of existing methods depend on hand-crafted features. Motivated by the successful use oflong short-term memory (LSTM) for many natural language processing tasks, in this paper, weadopt LSTM to learn the representation of a microblog post. Observing that hashtags indicatethe primary topics of microblog posts, we propose a novel attention-based LSTM model whichincorporates topic modeling into the LSTM architecture through an attention mechanism. Weevaluate our model using a large real-world dataset. Experimental results show that …

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Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen Dec 2016

Efficient Online Summarization Of Large-Scale Dynamic Networks, Qiang Qu, Siyuan Liu, Feida Zhu, Christian S. Jensen

Research Collection School Of Computing and Information Systems

Information diffusion in social networks is often characterized by huge participating communities and viral cascades of high dynamicity. To observe, summarize, and understand the evolution of dynamic diffusion processes in an informative and insightful way is a challenge of high practical value. However, few existing studies aim to summarize networks for interesting dynamic patterns. Dynamic networks raise new challenges not found in static settings, including time sensitivity, online interestingness evaluation, and summary traceability, which render existing techniques inadequate. We propose dynamic network summarization to summarize dynamic networks with millions of nodes by only capturing the few most interesting nodes or …

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From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan Dec 2016

From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan

Research Collection School Of Computing and Information Systems

With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for personal credit scoring comes into the sight of both researchers and practitioners. It has also become a topic of great importance and growing interest in the P2P lending industry. However, compared with traditional financial data, heterogeneous social data presents both opportunities and challenges for personal credit scoring. In this article, we seek a deep understanding of how to learn users’ credit labels from social …

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Domain Identification For Intention Posts On Online Social Media, Thai Le Luong, Quoc Tuan Truong, Hai-Trieu Dang, Xuan Hieu Phan Dec 2016

Domain Identification For Intention Posts On Online Social Media, Thai Le Luong, Quoc Tuan Truong, Hai-Trieu Dang, Xuan Hieu Phan

Research Collection School Of Computing and Information Systems

Today, more and more Internet users are willing to share their feeling, activities, and even their intention about what they plan to do on online social media. We can easily see posts like "I plan to buy an apartment this year", or "We are looking for a tour for 3 people to Nha Trang" on online forums or social networks. Recognizing those user intents on online social media is really useful for targeted advertising. However fully understanding user intents is a complicated and challenging process which includes three major stages: user intent filtering, intent domain identification, and intent parsing and …

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Social Media And Political Communication In The 2014 Elections To The European Parliament, Paul Nulty, Yannis Theocharis, Sebastian Adrian Popa, Olivier Parnet, Kenneth Benoit Dec 2016

Social Media And Political Communication In The 2014 Elections To The European Parliament, Paul Nulty, Yannis Theocharis, Sebastian Adrian Popa, Olivier Parnet, Kenneth Benoit

Research Collection School of Social Sciences

Social media play an increasingly important part in the communication strategies of political campaigns by reflecting information about the policy preferences and opinions of political actors and their public followers. In addition, the content of the messages provides rich information about the political issues and the framing of those issues during elections, such as whether contested issues concern Europe or rather extend pre-existing national debates. In this study, we survey the European landscape of social media using tweets originating from and referring to political actors during the 2014 European Parliament election campaign. We describe the language and national distribution of …

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The History Problem: The Politics Of War Commemoration In East Asia, Hiro Saito Dec 2016

The History Problem: The Politics Of War Commemoration In East Asia, Hiro Saito

Research Collection School of Social Sciences

Seventy years have passed since the end of the Asia-Pacific War, yet Japan remains embroiled in controversy with its neighbors over the war’s commemoration. Among the many points of contention between Japan, China, and South Korea are interpretations of the Tokyo War Crimes Trial, apologies and compensation for foreign victims of Japanese aggression, prime ministerial visits to the Yasukuni Shrine, and the war’s portrayal in textbooks. Collectively, these controversies have come to be called the “history problem.” But why has the problem become so intractable? Can it ever be resolved, and if so, how? To answer these questions, the author …

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The Cultural Pragmatics Of Political Apology, Hiro Saito Dec 2016

The Cultural Pragmatics Of Political Apology, Hiro Saito

Research Collection School of Social Sciences

In recent decades, research on ‘political apology’, wherein the state apologizes to victims of its past wrongs, has multiplied, as redress movements based on human rights have proliferated around the world. Since most of this research has been conducted by political philosophers, however, analyses of political apologies tend to adopt formal and normative perspectives. To propose an alternative, empirically-grounded approach, in this paper, I develop the ‘cultural pragmatics’ of political apology. To this end, I first conceptualize political apology as a social performance aimed to ‘re-fuse’ an impaired relationship between the perpetrator state and the victim individual. This conceptual move …

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2016: A Year Of Looking To The Future, David Chan Dec 2016

2016: A Year Of Looking To The Future, David Chan

Research Collection School of Social Sciences

Six major events caused Singaporeans to ponder over the future and what it will bring. As 2016 comes to a close, it is timely to reflect on the past 12 months, which I would summarise as "a future-focused year" - one filled with events and issues that made people ponder about their own future and that of the country. It is useful to revisit the way we approached the key events and issues. After all, when it comes to thinking about the future, how we think is as important as what we think.

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Providing Rural Public Services Through Land Commodification: Policy Innovations And Rural-Urban Integration In Chengdu, Qian Forrest Zhang, Jianling Wu Dec 2016

Providing Rural Public Services Through Land Commodification: Policy Innovations And Rural-Urban Integration In Chengdu, Qian Forrest Zhang, Jianling Wu

Research Collection School of Social Sciences

Zhang and Wu offer a detailed account of the innovative local policies in Chengdu, China, where a national land-use policy that has created widespread problems in other trial areas has been turned into a positive, transformative force in rural reconstruction. There are three key innovations in this so-called ‘Chengdu model’: First, leveraging on the most important resource in rural area, land, and through the commodification of land development rights, creating a financial source that can fund rural public services provision; second, transforming traditional rural residential patterns and concentrating the rural population in newly built residential communities; and, finally, using both …

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Advertising, Jose C. Yong, Norman P. Li Dec 2016

Advertising, Jose C. Yong, Norman P. Li

Research Collection School of Social Sciences

Advertisements, which are widely available, can provide insights into the evolved preferences of target audiences and serve as a useful supplement to other methods in evolutionary psychology research. This chapter discusses how advertisers create content that strategically exploits consumers’ values and preferences and how advertising content can provide insights into various aspects of our evolved psychology.

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