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Zero-Shot Video Translation Via Token Warping, Haiming Zhu, Yangyang Xu, Jun Yu, Shengfeng He Feb 2026

Zero-Shot Video Translation Via Token Warping, Haiming Zhu, Yangyang Xu, Jun Yu, Shengfeng He

Research Collection School Of Computing and Information Systems

With the revolution of generative AI, video-related tasks have been widely studied. However, current state-of-the-art video models still lag behind image models in visual quality and user control over generated content. In this paper, we introduce TokenWarping, a novel framework for temporally coherent video translation. Existing diffusion-based video editing approaches rely solely on key and value patches in self-attention to ensure temporal consistency, often sacrificing the preservation of local and structural regions. Critically, these methods overlook the significance of the query patches in achieving accurate feature aggregation and temporal coherence. In contrast, TokenWarping leverages complementary token priors by constructing temporal …

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Cellscout: Visual Analytics For Mining Biomarkers In Cell State Discovery, Rui Sheng, Zelin Zang, Jiachen Wang, Yan Luo, Zixin Chen, Yan Zhou, Shaolun Ruan, Huamin Qu Feb 2026

Cellscout: Visual Analytics For Mining Biomarkers In Cell State Discovery, Rui Sheng, Zelin Zang, Jiachen Wang, Yan Luo, Zixin Chen, Yan Zhou, Shaolun Ruan, Huamin Qu

Research Collection School Of Computing and Information Systems

Cell state discovery is crucial for understanding biological systems and enhancing medical outcomes. A key aspect of this process is identifying distinct biomarkers that define specific cell states. However, difficulties arise from the co-discovery process of cell states and biomarkers: biologists often use dimensionality reduction to visualize cells in a two-dimensional space. Then they usually interpret visually clustered cells as distinct states, from which they seek to identify unique biomarkers. However, this assumption is often this assumption often fails to hold due to internal inconsistencies in a cluster, making the process trial-and-error and highly uncertain. Therefore, biologists urgently need effective …

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Xbrl-Formatted Financial Reporting And The Feedback Effect Of Price, Young Jun Cho, Ying-Chi Huang, Holly I. Yang Feb 2026

Xbrl-Formatted Financial Reporting And The Feedback Effect Of Price, Young Jun Cho, Ying-Chi Huang, Holly I. Yang

Research Collection School Of Accountancy

We examine whether the SEC’s XBRL-formatted financial reporting mandate allows investors to better process public financial information, reducing the extent to which managers learn private information from stock price. We find a significant decrease in the investment-price sensitivity for firms that started to file their 10-Ks in an XBRL format, consistent with a reduction in the cost of information processing crowding out private information in stock price. We also find that the decrease in the investment-price sensitivity associated with XBRL adoption is more pronounced for firms with higher business and information complexity and for firms with higher incentives for managers …

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Non-Audit Services And Knowledge Spillover: Evidence From Audit Hours And Billing Rates, Jaeyoon Yu, Yongsuk Yun, Yoonseok Zang Feb 2026

Non-Audit Services And Knowledge Spillover: Evidence From Audit Hours And Billing Rates, Jaeyoon Yu, Yongsuk Yun, Yoonseok Zang

Research Collection School Of Accountancy

Using audit hours from firms listed on the Korea Exchange as a direct proxy for audit effort, this study examines whether non-audit services (NAS) purchased from audit firms improve audit efficiency. Our results reveal that the ratio of NAS fees to total fees paid to audit firms is associated with lower audit hours and audit fees, but it is not significantly related to audit billing rates. The reduction in audit effort associated with NAS is more pronounced when NAS provided are audit-related, and for clients who hire Big 4 auditors, have short-tenured auditors, and report a profit. Further, using path …

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The Powerful Teacher: A Power Hypothesis For The Benefits Of Learning-By-Teaching, Sarah Shi Hui Wong, Stephen Lim Feb 2026

The Powerful Teacher: A Power Hypothesis For The Benefits Of Learning-By-Teaching, Sarah Shi Hui Wong, Stephen Lim

Research Collection School of Social Sciences

Why does teaching others enhance one's learning? This study advanced a novel power hypothesis of learning-by-teaching: When assuming the role of a teacher, students experience a heightened sense of power in influencing others, which increases their own learning. University students (N = 242) studied a scientific text using one of three learning methods: notetaking, explaining, or teaching. The notetaking group prepared to be tested and wrote study notes about the topic; the explaining group prepared to explain and wrote an explanation about the topic as how they would write a textbook for their peers; the teaching group prepared to teach …

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Higher Education Student Engagement In Learning Activities: Clarifying Concepts And Introducing A Short-Scale, Feliciano Veiga, Johnmarshall Reeve, Carlota M. Veiga, Zi Yang Wong, Isabel Martinez, Anabela Pereira Nuno Archer De Carvalho Feb 2026

Higher Education Student Engagement In Learning Activities: Clarifying Concepts And Introducing A Short-Scale, Feliciano Veiga, Johnmarshall Reeve, Carlota M. Veiga, Zi Yang Wong, Isabel Martinez, Anabela Pereira Nuno Archer De Carvalho

Research Collection School of Social Sciences

Student engagement plays a vital role in higher education due to its significant influence on academic outcomes, such as academic achievement and course completion. However, the concept of student engagement is often ambiguously defined, with a lack of distinction between engagement in learning and involvement in the academic community. Although the current student engagement measures have contributed to advancing knowledge in the area, they are often too long and exclude agentic engagement, which is seen as a key dimension in higher education. This research aimed to (a) clarify the concept of student engagement and the conceptual problems of the existing …

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How Consistent Friendlike Conversation With Ai Companions Influences Our Attitudes And Perceptions Toward Ai: An Exploratory Experiment, Qi Hui Jerlyn Ho, Meilan Hu, Adalia Yin Hui Goh, Emma Jane Pragasam, Andree Hartanto Feb 2026

How Consistent Friendlike Conversation With Ai Companions Influences Our Attitudes And Perceptions Toward Ai: An Exploratory Experiment, Qi Hui Jerlyn Ho, Meilan Hu, Adalia Yin Hui Goh, Emma Jane Pragasam, Andree Hartanto

Research Collection School of Social Sciences

Despite skepticism and distrust in artificial intelligence (AI), it is increasingly integrated into daily life, with its potential benefits drawing interest. Yet little is known about the attitudinal and psychological effects of human–AI interactions, and whether consistent interactions with AI chatbots can change users’ attitudes and perceptions. Our within-subjects experiment (N = 52) investigated how five days of socially oriented, friendlike interactions with an AI chatbot, versus a journaling control, influenced changes in attitudes and perceptions of AI. Participants’ attitudes towards AI, trust, perceived empathy, anthropomorphism, animacy, likeability, perceived intelligence and safety, dependency, and exploratory well-being indicators were recorded. Results …

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Beyond Resilience: The Case For Regenerative, Restorative Cities, Lily Kong Feb 2026

Beyond Resilience: The Case For Regenerative, Restorative Cities, Lily Kong

Research Collection School of Social Sciences

In a commentary, SMU President Professor Lily Kong mentioned that at the City Dialogues event, co-convened by SMU and Urban Innovation Vienna, participants agreed that cities must equip their residents to withstand shocks and thrive in an evolving urban environment. Prof Kong said resilient cities anticipate, adapt and respond effectively to disruptions, which involves attention not only to physical infrastructure, but also to social cohesion and institutional foresight. She said that embedding sustainability into urban design is fundamental to ensuring cities flourish in a world of climate uncertainty and resource constraints. She added that the value of urban resilience lies …

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Fit For A Princess: Connecting Britain And The ‘Moluccas’ In 1621 And 2011, Emily Soon Feb 2026

Fit For A Princess: Connecting Britain And The ‘Moluccas’ In 1621 And 2011, Emily Soon

Research Collection School of Social Sciences

No abstract provided.

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Counter-Urbanization In China: A Systematic Review Toward A Comprehensive Typology, Chengxue Yang, Qian Forrest Zhang Feb 2026

Counter-Urbanization In China: A Systematic Review Toward A Comprehensive Typology, Chengxue Yang, Qian Forrest Zhang

Research Collection School of Social Sciences

Drawing on a systematic review of both international and Chinese-language scholarship on counter-urbanization in China, this article proposes a comprehensive typology of counter-urbanization migrations—consisting of eight types of new migrants—based on the diverse motivations driving such migration. We build a bilingual corpus of 273 research papers published between the 1970s and 2025. Integrating bibliometric mapping and qualitative synthesis, we conduct a systematic review to trace the temporal evolution and thematic diversification of counter-urbanization research. The review reveals persistent conceptual ambiguity surrounding counter-urbanization in the Chinese context, which this study addresses by conceptually distinguishing counter-urbanization from suburban expansion, population decentralization, and …

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Asia’S Future Will Be Won By Soft Power, Not Force, Lily Kong Feb 2026

Asia’S Future Will Be Won By Soft Power, Not Force, Lily Kong

Research Collection School of Social Sciences

Lily Kong argues that while force remains essential to deter aggression and manage worst-case scenarios, military strength may prevent defeat, but it rarely produces legitimacy. When hard power dominates the strategic imagination, volatility rises and markets suffer. Soft power – the ability to influence countries through persuasion, attraction and legitimacy – has become a strategic asset, she writes. It shapes expectations, lowers baseline tensions, and creates off-ramps in moments of crisis, often determining whether tensions escalate, how long crises last, and how much economic damage they inflict. Prof Kong believes that in a nuclear-armed, economically interdependent Asia, the real test …

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A Dynamic Inspection And Replacement Policy For Systems Subject To Degradation And Periodic Shocks, Jiawen Hu, Qiuzhuang Sun Feb 2026

A Dynamic Inspection And Replacement Policy For Systems Subject To Degradation And Periodic Shocks, Jiawen Hu, Qiuzhuang Sun

Research Collection College of Integrative Studies

Inspection is widely adopted to improve the maintenance efficiency. Most works predetermine a periodic inspection scheme and focus on optimizing the replacement threshold. However, it is reasonable to inspect less frequently when the degradation level of the system is low and to perform inspections more frequently as the degradation level increases. This work investigates a dynamic inspection and replacement policy for systems subject to regular degradation and periodic shocks. The regular degradation of the system is modeled as a Wiener process. Meanwhile, a periodic arrived shock will incur a random amount increment to the degradation, which is assumed to satisfy …

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The Affective Economy Of Toxic Atmospheres: Sensory Governance, Ecological Intelligences And The Performative Politics Of Urban Mosquito Management, Orlando Woods, Creighton Connolly Feb 2026

The Affective Economy Of Toxic Atmospheres: Sensory Governance, Ecological Intelligences And The Performative Politics Of Urban Mosquito Management, Orlando Woods, Creighton Connolly

Research Collection College of Integrative Studies

This paper considers how atmospheres can play a powerful role in troubling the management of nature in the multispecies city. It brings the cyclical nature of atmospheric effects, the affective values and il/logics that determine human responses to non-human threats, and the misguided and potentially deleterious health outcomes that ensue into one analytical frame. Drawing on the empirical case of urban mosquito management in Singapore, it considers how the creation of toxic atmospheres through fogging – blowing insecticides into the air in a bid to kill mosquitoes – is ineffective and sets in motion a cascading series of socio-environmental consequences. …

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Atmospheric Circulation Reconstructions Over The Earth (Acre) 2025: Climate Data Recovery, Fiona Williamson Feb 2026

Atmospheric Circulation Reconstructions Over The Earth (Acre) 2025: Climate Data Recovery, Fiona Williamson

Research Collection College of Integrative Studies

On 15-16 September 2025, Singapore Management University hosted the annual Atmospheric Circulation Reconstructions over the Earth (ACRE, www.met-acre.net/) workshop, ’ACRE 2025: Climate Data Recovery’, chaired by Fiona Williamson, Rob Allan and Praveen Teleti. The 2-day event took place at the College of Integrative Studies and saw around 30 participants from multi-disciplinary backgrounds all working in meteorological data rescue (DaRe, www.community.wmo.int/en/data-rescue-projects-and-initiatives-dare) sharing their latest work and discoveries. Speakers were a mix of climate scientists and historians, archivists and historical climatologists from across the globe. ACRE has been operating for 18 years under Professor Rob Allan, formerly of the UK Meteorological Office …

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Geopolitical Ecologies Of Cloud Capitalism: Territorial Restructuring And The Making Of National Computing Power In The Us And China, Justin Kollar, Sol Andrew Stokols Feb 2026

Geopolitical Ecologies Of Cloud Capitalism: Territorial Restructuring And The Making Of National Computing Power In The Us And China, Justin Kollar, Sol Andrew Stokols

Research Collection College of Integrative Studies

As computing power becomes central to geopolitical rivalry, cloud infrastructure is increasingly framed as critical to national security, economic resilience and technological sovereignty. Current debates often focus on global competition – especially between the U.S. and China – highlighting strategic investments, export controls and infrastructure diplomacy abroad. Yet far less attention has been paid to the domestic territorial transformations that make such geopolitical projection possible. This paper argues that national strategies for AI and cloud dominance depend on the reorganization of land, energy and regulatory systems to sustain large-scale computation. Using a geopolitical ecology framework, we examine how the U.S. …

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Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng Feb 2026

Constrained Pricing In Logit-Based Revenue Management, Qian Shao, Tien Mai, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

We consider a dynamic pricing problem in network revenue management in which customer behavior is predicted by a choice model, that is, the multinomial logit model. The problem, even in the static setting (i.e., customer demand remains unchanged over time), is highly nonconcave in prices. Existing studies mostly rely on the observation that the objective function is concave in terms of purchasing probabilities, implying that the static pricing problem with linear constraints on purchasing probabilities can be efficiently solved. However, this approach is limited in handling constraints on prices, noting that such constraints could be highly relevant in some real …

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Prisrv+: Privacy And Usability-Enhanced Wireless Service Discovery With Fast And Expressive Matchmaking Encryption, Yang Yang, Guomin Yang, Yingjiu Li, Pengfei Wu, Rui Shi, Minming Huang, Jian Weng, Hwee Hwa Pang, Deng, Robert H. Feb 2026

Prisrv+: Privacy And Usability-Enhanced Wireless Service Discovery With Fast And Expressive Matchmaking Encryption, Yang Yang, Guomin Yang, Yingjiu Li, Pengfei Wu, Rui Shi, Minming Huang, Jian Weng, Hwee Hwa Pang, Deng, Robert H.

Research Collection School Of Computing and Information Systems

The evolution of decentralized identity (DID) and self-sovereign identity (SSI) frameworks, as endorsed by W3C Verifiable Credentials (VC) and eIDAS 2.0, underscores the need for secure, efficient, and privacy-preserving credential management. However, existing credential systems often depend on centralized issuers, lack efficient aggregation mechanisms, or fail to ensure unlinkability across authentication sessions. To address these challenges, we propose DISC (Decentralized Identity System with Self-Sovereign Credential Aggregation), a novel credential system that enables multi-authority credential issuance, user-controlled credential aggregation, and unlinkable authentication. DISC allows users to aggregate credentials from multiple issuers while maintaining constant-size authentication tokens and supporting batch verification for …

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The Case For Ai Authorship In Copyright Law, Cheng Lim Saw, Duncan Lim Feb 2026

The Case For Ai Authorship In Copyright Law, Cheng Lim Saw, Duncan Lim

Research Collection Yong Pung How School Of Law

Today, with generative AI, literary and artistic works can be created almost effortlessly. There is at present intense debate as to whether works generated by AI – broadly categorised as “AI-assisted” and “AI-generated” works – ought to attract copyright protection. AI-assisted works are those that involve some degree of human intervention. Where AI-generated works are concerned, however, such works are created autonomously by the AI itself with minimal (de minimis) input from an identifiable human being. Presently, it is generally accepted that AI-generated works do not attract copyright protection for want of a human author. This article examines whether it …

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Modernising Wills For A Smart Nation, Hang Wu Tang, Edward Ti Feb 2026

Modernising Wills For A Smart Nation, Hang Wu Tang, Edward Ti

Research Collection Yong Pung How School Of Law

In a commentary, SMU Lee Kong Chian Professor of Law Tang Hang Wu and SMU Associate Dean (Undergraduate Curriculum and Teaching) and Associate Professor of Law Edward Ti highlighted that Singapore has digitalised almost everything around the will, but not the will itself. Prof Tang and Assoc Prof Ti noted that the current legislation insists that the will itself remains a paper ritual, which is not just an inconvenience but also risks Singapore’s competitiveness. They argued that Singapore should modernise without compromising on steps to prevent fraud and undue influence. They highlighted that the law should be modernised so that …

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Efficient Function Orchestration For Large Language Models, Xiaoxia Liu, Peng Di, Cong Li, Jun Sun, Jingyi Wang Feb 2026

Efficient Function Orchestration For Large Language Models, Xiaoxia Liu, Peng Di, Cong Li, Jun Sun, Jingyi Wang

Research Collection School Of Computing and Information Systems

Function calling is a fundamental capability of today's large language models, but sequential function calling posed efficiency problems. Recent studies have proposed to request function calls with parallelism support in order to alleviate this issue. However, they either delegate the concurrent function calls to users for execution which are conversely executed sequentially, or overlook the relations among various function calls, rending limited efficiency. This paper introduces LLMOrch, an advanced framework for automated, parallel function calling in large language models. The key principle behind LLMOrch is to identify an available processor to execute a function call while preventing any single processor …

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Quantum Chebyshev Transform-Based Graph Neural Networks For Financial Fraud Detection, Minrui Xu, Bingyan Guan, Bethel Hui Ting Loke, Paul R. Griffin Feb 2026

Quantum Chebyshev Transform-Based Graph Neural Networks For Financial Fraud Detection, Minrui Xu, Bingyan Guan, Bethel Hui Ting Loke, Paul R. Griffin

Research Collection School Of Computing and Information Systems

Financial fraud detection is a critical challenge requiring accurate identification of anomalous patterns in complex transaction networks. Graph Neural Networks (GNNs) have emerged as powerful tools for fraud detection by capturing relational structures among entities. Meanwhile, quantum computing offers new possibilities to enhance machine learning through high-dimensional Hilbert spaces and parallelism. In this paper, we propose a hybrid classical-quantum model called QCTGNN (Quantum Chebyshev Transform-based Graph Neural Network) for financial fraud detection. The QCTGNN integrates a classical graph neural network component based on Simplified Graph Convolutions (SGConv) with a quantum component that performs a Chebyshev polynomial-based transform via variational quantum …

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Lagrangian Motion Fields For Long-Term Motion Generation, Yifei Yang, Zikai Huang, Chenshu Xu, Shengfeng He Feb 2026

Lagrangian Motion Fields For Long-Term Motion Generation, Yifei Yang, Zikai Huang, Chenshu Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

Long-term motion generation is a challenging task that requires producing coherent and realistic sequences over extended durations. Current methods primarily rely on framewise motion representations, which capture only static spatial details and overlook temporal dynamics. This approach leads to significant redundancy across the temporal dimension, complicating the generation of effective long-term motion. To overcome these limitations, we introduce the novel concept of Lagrangian Motion Fields, specifically designed for long-term motion generation. By treating each joint as a Lagrangian particle with uniform velocity over short intervals, our approach condenses motion representations into a series of "supermotions" (analogous to superpixels). This method …

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Prompt Tuning Without Labeled Samples For Zero-Shot Node Classification In Text-Attributed Graphs, Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang Feb 2026

Prompt Tuning Without Labeled Samples For Zero-Shot Node Classification In Text-Attributed Graphs, Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang

Research Collection School Of Computing and Information Systems

Node classification is a fundamental problem in information retrieval with many real-world applications, such as community detection in social networks, grouping articles published online and product categorization in e-commerce. Zero-shot node classification in text-attributed graphs (TAGs) presents a significant challenge, particularly due to the absence of labeled data. In this paper, we propose a novel Zero-shot Prompt Tuning (ZPT) framework to address this problem by leveraging a Universal Bimodal Conditional Generator (UBCG). Our approach begins with pre-training a graph-language model to capture both the graph structure and the associated textual descriptions of each node. Following this, a conditional generative model …

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G-Trac: Graph-Textual Representations Alignment For Cold-Start Recommendations, Li Yang Chang, Yuan Fang, Ming Feng Tsai, Chuan Ju Wang Feb 2026

G-Trac: Graph-Textual Representations Alignment For Cold-Start Recommendations, Li Yang Chang, Yuan Fang, Ming Feng Tsai, Chuan Ju Wang

Research Collection School Of Computing and Information Systems

The cold-start problem remains a significant challenge in recommendation systems, particularly for new users or unseen items with little to no historical data. Existing methods, including graph neural networks, often struggle in such scenarios. Inspired by the success of transformer models in natural language processing, we propose G-TRAC (Graph-Textual Representations Alignment for Cold-start Recommendations), a novel approach that integrates transformer-based textual modeling with graph neural networks. By effectively leveraging both textual and structural information, G-TRAC addresses cold-start challenges more effectively. Extensive experiments demonstrate its ability to enhance recommendation quality and generalize well across diverse scenarios.

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Mm-Attackg: A Multimodal Approach To Attack Graph Construction With Large Language Models, Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang Feb 2026

Mm-Attackg: A Multimodal Approach To Attack Graph Construction With Large Language Models, Yongheng Zhang, Xinyun Zhao, Yunshan Ma, Haokai Ma, Yingxiao Guan, Guozheng Yang, Yuliang Lu, Xiang Wang

Research Collection School Of Computing and Information Systems

Cyber Threat Intelligence (CTI) parsing aims to extract key threat information from massive data, transform it into actionable intelligence, enhance threat detection and defense efficiency, including attack graph construction, intelligence fusion, and indicator extraction. Among these research topics, Attack Graph Construction (AGC) is essential for visualizing and understanding the potential attack paths of threat events from CTI reports. Existing approaches primarily construct the attack graphs purely from the textual data to reveal the logical threat relationships between entities within the attack behavioral sequence. However, they typically overlook the specific threat information inherent in visual modalities, which preserves key threat details …

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The Gains Do Not Make Up For The Losses: A Comprehensive Evaluation For Safety Alignment Of Large Language Models Via Machine Unlearning, Weixiang Zhao, Yulin Hu, Xingyu Sui, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che Feb 2026

The Gains Do Not Make Up For The Losses: A Comprehensive Evaluation For Safety Alignment Of Large Language Models Via Machine Unlearning, Weixiang Zhao, Yulin Hu, Xingyu Sui, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che

Research Collection School Of Computing and Information Systems

Machine Unlearning (MU) has emerged as a promising technique for aligning large language models (LLMs) with safety requirements to steer them forgetting specific harmful contents. Despite the significant progress in previous studies, we argue that the current evaluation criteria, which solely focus on safety evaluation, are actually impractical and biased, leading to concerns about the true effectiveness of MU techniques. To address this, we propose to comprehensively evaluate LLMs after MU from three aspects: safety, over-safety, and general utility. Specifically, a novel benchmark MuBench with 18 related datasets is first constructed, where the safety is measured with both vanilla harmful …

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Dynamic Spatial Panel Data Models With Interactive Fixed Effects: M-Estimation And Inference Under Fixed Or Relatively Small T, Liyao Li, Ke Miao, Zhenlin Yang Feb 2026

Dynamic Spatial Panel Data Models With Interactive Fixed Effects: M-Estimation And Inference Under Fixed Or Relatively Small T, Liyao Li, Ke Miao, Zhenlin Yang

Research Collection School Of Economics

We propose an M-estimation method for dynamic spatial panel data models with interactive fixed effects based on (relatively) short panels. Unbiased estimating functions are constructed by adjusting the concentrated conditional quasi scores, given the initial values and with the factor loadings being concentrated out, to account for the effects of conditioning and concentration. Solving the estimating equations gives the M-estimators of the common parameters and common factors. Under fixed T, n-consistency and joint asymptotic normality of the M-estimators are established. Under T = o(n), the M-estimators of the common parameters are shown to be nT-consistent and asymptotically normal. For inference, …

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Brand Switching Or Behavior Change: The 2023 Bud Light Boycott's Impact On Alcohol Purchases, Aljoscha Janssen Feb 2026

Brand Switching Or Behavior Change: The 2023 Bud Light Boycott's Impact On Alcohol Purchases, Aljoscha Janssen

Research Collection School Of Economics

I study how the 2023 Bud Light boycott affected overall alcohol demand using household-level panel data and a set of difference-in-differences designs. Focusing on households that, before April 2023, regularly purchased Bud Light, I find a large drop in Bud Light volume (34%–37%), partial switching into other beer (＋70 to ＋90 ounces per month), and a net decline in total ethanol purchases of about 3–4 fl-oz per month, or roughly 5.5%–7.5% of pre-boycott intake. I detect no compensatory increase in wine or spirits. Scaled nationally, the quantity response is equivalent to roughly 150 million standard drinks per year; using CDC …

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The Uncomfortable Truths About Inclusive Growth In Singapore, Kong Weng Ho Feb 2026

The Uncomfortable Truths About Inclusive Growth In Singapore, Kong Weng Ho

Research Collection School Of Economics

In a commentary, SMU Associate Professor of Economics (Education) Ho Kong Weng said that the Ministry of Finance’s Occasional Paper provides food for thought on the way forward on social mobility, growth and redistribution. Assoc Prof Ho stated that these macro statistics suggest Singapore’s socioeconomic compact has performed well, and suggests that sustaining inclusive growth is a multifaceted effort that cannot be boiled down to one single metric, whether income, wealth, inequality or mobility. He noted that pursuing ever-lower Gini coefficients through heavy regulation risks deadweight losses without guaranteeing better mobility outcomes. He added that Singapore’s approach of tempering market-driven …

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A General Limit Theory For Nonlinear Functionals Of Nonstationary Time Series, Qiying Wang, Peter C. B. Phillips Feb 2026

A General Limit Theory For Nonlinear Functionals Of Nonstationary Time Series, Qiying Wang, Peter C. B. Phillips

Research Collection School Of Economics

New limit theory is provided for a wide class of sample variance and covariance functionals involving both nonstationary and stationary time series. Sample functionals of this type commonly appear in regression applications and the asymptotics are particularly relevant to estimation and inference in nonlinear nonstationary regressions that involve unit root, local unit root, or fractional processes. The limit theory is unusually general in that it covers both parametric and nonparametric regressions. Self-normalized versions of these statistics are considered that are useful in inference. Numerical evidence reveals interesting strong bimodality in the finite sample distributions of conventional self-normalized statistics similar to …

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