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Articles 1 - 30 of 7688

Full-Text Articles in Social and Behavioral Sciences

Anger And Disgust Shape Judgments Of Social Sanctions Across Cultures, Especially In High Individual Autonomy Societies, Per A. Andersson, Andree Hartanto, Et Al Dec 2024

Anger And Disgust Shape Judgments Of Social Sanctions Across Cultures, Especially In High Individual Autonomy Societies, Per A. Andersson, Andree Hartanto, Et Al

Research Collection School of Social Sciences

When someone violates a social norm, others may think that some sanction would be appropriate. We examine how the experience of emotions like anger and disgust relate to the judged appropriateness of sanctions, in a pre-registered analysis of data from a large-scale study in 56 societies. Across the world, we find that individuals who experience anger and disgust over a norm violation are more likely to endorse confrontation, ostracism and, to a smaller extent, gossip. Moreover, we find that the experience of anger is consistently the strongest predictor of judgments of confrontation, compared to other emotions. Although the link between …

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Cross-Exchange Crypto Risk: A High-Frequency Dynamic Network Perspective, Yifu Wang, Wanbo Lu, Min-Bin Liu, Rui Ren, Wolfgang Karl Hardle Jul 2024

Cross-Exchange Crypto Risk: A High-Frequency Dynamic Network Perspective, Yifu Wang, Wanbo Lu, Min-Bin Liu, Rui Ren, Wolfgang Karl Hardle

Sim Kee Boon Institute for Financial Economics

Cross-exchange crypto trading presents inherent risks, particularly for centralized exchanges. Investors observe exacerbating crypto volatility and counterparty risk and would like to quantify these elements of crypto trades. The multiple exchanges require a multivariate view on the structures of risk spillover across exchanges. Here, a Multivariate Heterogeneous AutoRegression (MHAR) model is designed and analyzed, accommodating the stylized facts of crypto markets, including 24/7 trading and the long-memory effect on return variations. The proposed MHAR approach clearly reveals the intensity of interconnectedness among exchanges during extreme events, e.g., the Bitcoin market. Additionally, one observes extremely volatile eigenvector centralities of Futures Exchange …

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Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang Jul 2024

Unveiling The Dynamics Of Crisis Events: Sentiment And Emotion Analysis Via Multi-Task Learning With Attention Mechanism And Subject-Based Intent Prediction, Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

In the age of rapid internet expansion, social media platforms like Twitter have become crucial for sharing information, expressing emotions, and revealing intentions during crisis situations. They offer crisis responders a means to assess public sentiment, attitudes, intentions, and emotional shifts by monitoring crisis-related tweets. To enhance sentiment and emotion classification, we adopt a transformer-based multi-task learning (MTL) approach with attention mechanism, enabling simultaneous handling of both tasks, and capitalizing on task interdependencies. Incorporating attention mechanism allows the model to concentrate on important words that strongly convey sentiment and emotion. We compare three baseline models, and our findings show that …

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Bubbly Booms And Welfare, Feng Dong, Yang Jiao, Haoning Sun Jul 2024

Bubbly Booms And Welfare, Feng Dong, Yang Jiao, Haoning Sun

Research Collection School Of Economics

We show the competing effects of a housing bubble on the real economy by developing a multi-sector dynamic model with housing production. On the one hand, firms can sell or collateralize their housing, so a housing bubble helps firms obtain credit to finance their investment and expand production. On the other hand, a boom in the housing sector crowds out labor in the non-housing sector. We show that housing booms can reduce social welfare both in the steady state and in the transitional dynamics only when the production externalities in the non-housing sector are sufficiently large. We quantitatively evaluate our …

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On-Site Sensory Experience Boosts Acceptance Of Cultivated Chicken, Mark Chong, Angela K. Y. Leung, Tricia Marjorie Fernandez Jun 2024

On-Site Sensory Experience Boosts Acceptance Of Cultivated Chicken, Mark Chong, Angela K. Y. Leung, Tricia Marjorie Fernandez

Research Collection Lee Kong Chian School Of Business

This study set out to assess if presenting cultivated chicken in the context of a familiar meal, in a familiar dining setting, would motivate repeat consumption and recommendation. A survey of 107 diners was conducted at Huber's Butchery and Bistro in Singapore – the world's first butchery to serve cultivated meat – from April to June 2023. The findings showed that eating cultivated chicken significantly boosted post-consumption acceptance levels. In addition, cultivated chicken's tastiness may be a more important factor than its integration into a familiar meal or dish in fostering repeat consumption. Implications for the cultivated meat industry, limitations, …

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Silver Screen Reversals Of The Domino Theory: American Cold War Movies And The Re-Imagination Of British Experiences In Southeast Asia, Wen-Qing (Wei Wenqing) Ngoei Jun 2024

Silver Screen Reversals Of The Domino Theory: American Cold War Movies And The Re-Imagination Of British Experiences In Southeast Asia, Wen-Qing (Wei Wenqing) Ngoei

Research Collection School of Social Sciences

This essay examines how Hollywood was affected by the successful anticommunism of Britain and its local allies in Malaya and Singapore, victories that unfolded alongside Vietnam’s mounting crisis in the early 1960s. It shows that American movies of this era which portrayed the intertwining of US and British experiences in 1950s Malaya and 1940s Singapore conveyed an uneasy yet clear optimism about U.S. involvement in Southeast Asia.

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Untangling Influence: The Effect Of Follower-Followee Comparison On Social Media Engagement, Yi Peng, Liling Lu May 2024

Untangling Influence: The Effect Of Follower-Followee Comparison On Social Media Engagement, Yi Peng, Liling Lu

Research Collection Lee Kong Chian School Of Business

Social media platforms and marketers are keen on identifying truly influential creators. Number of followers (i.e., those who follow creators) and number of followees (i.e., those who are followed by creators) serve as cues to infer creators' influence. However, a cue of creators' actual influence is under-addressed and its effect on social media engagement remains to be explored. This research fills the gap in the literature by investigating how the cue of creators' actual influence (i.e., follower-followee comparison) may affect followers' engagement behavior. The study further examines the moderation effects of media-, topic-, and creator-related factors. The present work leverages …

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Allocating Vehicle Registration Permits, Massimiliano Landi, Domenico Menicucci May 2024

Allocating Vehicle Registration Permits, Massimiliano Landi, Domenico Menicucci

Research Collection School Of Economics

We compare social welfare, consumer surplus and profits in two different institutional settings in which an item whose quantity is fixed and controlled (vehicle registration permit) is allocated to the buyers of a complementary good (car). In the first setting, which resembles the way in which vehicle registration permits are allocated in Singapore, the central planner runs a uniform price auction for permits in which the consumers who bid the highest receive the permits and pay the highest losing bid. Then each winning consumer purchases a car from a seller. In the alternative setting, the central planner first allocates the …

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Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao Apr 2024

Green Transition And Financial Stability: The Role Of Green Monetary And Macroprudential Policies And Vouchers, Ying Tung Chan, Maria Teresa Punzi, Hong Zhao

Sim Kee Boon Institute for Financial Economics

This paper analyzes a mix of alternative policies in supporting the green transition and the phase-out of fossil fuels, without compromising financial stability. An environmental dynamic stochastic general equilibrium (E-DSGE) model with two sectors (green and brown) and endogenous default is developed to assess potential climate-induced financial stability threats that can be mainly generated through physical and transition risks mechanism. Those risks are evaluated through a compound capital depreciation shock and a carbon tax shock. The paper offers several findings. First of all, a too stringent carbon tax would increase the medium-term default rate in both sectors, harming financial stability …

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Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia Apr 2024

Editorial: Emerging On-Demand Passenger And Logistics Systems: Modelling, Optimization, And Data Analytics, Jintao Ke, Hai Wang, Neda Masoud, Maximilian Schiffer, Goncalo H. A. Correia

Research Collection School Of Computing and Information Systems

The proliferation of smart personal devices and mobile internet access has fueled numerous advancements in on-demand transportation services. These services are facilitated by online digital platforms and range from providing rides to delivering products. Their influence is transforming transportation systems and leaving a mark on changing individual mobility, activity patterns, and consumption behaviors. For instance, on-demand transportation companies such as Uber, Lyft, Grab, and DiDi have become increasingly vital for meeting urban transportation needs by connecting available drivers with passengers in real time. The recent surge in door-to-door food delivery (e.g., Uber Eats, DoorDash, Meituan); grocery delivery (e.g., Amazon Fresh, …

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Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh Apr 2024

Discovering Significant Topics From Legal Decisions With Selective Inference, Jerrold Tsin Howe Soh

Research Collection Yong Pung How School Of Law

We propose and evaluate an automated pipeline for discovering significant topics from legal decision texts by passing features synthesized with topic models through penalized regressions and post-selection significance tests. The method identifies case topics significantly correlated with outcomes, topic-word distributions which can be manually interpreted to gain insights about significant topics, and case-topic weights which can be used to identify representative cases for each topic. We demonstrate the method on a new dataset of domain name disputes and a canonical dataset of European Court of Human Rights violation cases. Topic models based on latent semantic analysis as well as language …

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Wild Bootstrap Inference For Instrumental Variables Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang Apr 2024

Wild Bootstrap Inference For Instrumental Variables Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang

Research Collection School Of Economics

We study the wild bootstrap inference for instrumental variable regressions under an alternative asymptotic framework that the number of independent clusters is fixed, the size of each cluster diverges to infinity, and the within cluster dependence is sufficiently weak. We first show that the wild bootstrap Wald test controls size asymptotically up to a small error as long as the parameters of endogenous variables are strongly identified in at least one of the clusters. Second, we establish the conditions for the bootstrap tests to have power against local alternatives. We further develop a wild bootstrap Anderson–Rubin test for the full-vector …

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Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li Apr 2024

Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li

Research Collection School Of Economics

Shapley and Scarf (1974) appeared in the first issue of the Journal of Mathematical Economics, and is one of the journal’s most impactful publications. As we approach the remarkable milestone of the journal’s 50th anniversary (1974–2024), this article serves as a commemorative exploration of Shapley and Scarf (1974) and the extensive body of literature that follows it.

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Does Relationship Conflict Reduce Novel Idea Communication Through Perceived Leader Openness? Power Distance Orientation As A Moderator, Ming-Hong Tsai Mar 2024

Does Relationship Conflict Reduce Novel Idea Communication Through Perceived Leader Openness? Power Distance Orientation As A Moderator, Ming-Hong Tsai

Research Collection School of Social Sciences

Purpose: This paper aims to investigate why followers have low perceptions of leader openness and thus feel reluctant to communicate novel ideas by examining leader–follower relationship conflict (i.e. interpersonal incompatibility) and a follower’s power distance orientation (i.e. an acceptance of uneven power distribution in organizations) as antecedents. Design/methodology/approach: The research administrators conducted a three-wave work behavior survey in Study 1, a laboratory experiment in Study 2, and an online experiment in Study 3. Findings: The results demonstrated that leader–follower relationship conflict reduced followers’ perceptions of leader openness. However, the negative impact of relationship conflict became non-significant when followers have high …

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Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren Mar 2024

Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren

Research Collection School Of Economics

Betas from return regressions are commonly used to measure systematic financial market risks. "Good" beta measurements are essential for a range of empirical inquiries in finance and macroeconomics. We introduce a novel econometric framework for the nonparametric estimation of time-varying betas with high-frequency data. The "local Gaussian" property of the generic continuous-time benchmark model enables optimal "finite-sample" inference in a well-defined sense. It also affords more reliable inference in empirically realistic settings compared to conventional large-sample approaches. Two applications pertaining to the tracking performance of leveraged ETFs and an intraday event study illustrate the practical usefulness of the new procedures.

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Maximizing The Ai Revolution In Southeast Asia, Shoeb Kagda Mar 2024

Maximizing The Ai Revolution In Southeast Asia, Shoeb Kagda

Asian Management Insights

For that, the region must narrow the digital divide.

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Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo Mar 2024

Eyris: From The Lab To The Market, Steven Miller, David Gomulya, Mahima Rao-Kachroo

Asian Management Insights

Singapore’s trailblazer AI algorithm for detecting diabetes-related eye diseases.

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Service Transformation That Will Boost Your Business, Neeta Lachmandas-Sakellariou Mar 2024

Service Transformation That Will Boost Your Business, Neeta Lachmandas-Sakellariou

Asian Management Insights

Focus on your customers to catapult your company to success. However, leaders must drive a culture change to make it happen.

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Smart Heuristics For Smart Management, Jochen Reb, Shenghua Luan, Gerd Gigerenzer Mar 2024

Smart Heuristics For Smart Management, Jochen Reb, Shenghua Luan, Gerd Gigerenzer

Asian Management Insights

How leaders can make effective decisions in a VUCA world.

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Navigating Sustainable Futures, Franziska Zimmermann Mar 2024

Navigating Sustainable Futures, Franziska Zimmermann

Asian Management Insights

A leadership imperative.

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Developing Singapore As A Smart Nation, Josephine Teo Mar 2024

Developing Singapore As A Smart Nation, Josephine Teo

Asian Management Insights

Mrs Josephine Teo, Singapore’s Minister for Communications and Information, and Minister-in-charge of Smart Nation and Cybersecurity, speaks about leading the country’s Smart Nation drive.

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The Influence Of Societal Nationalist Sentiment On Trade Flows, Douglas Dow, Ilya Cuypers Mar 2024

The Influence Of Societal Nationalist Sentiment On Trade Flows, Douglas Dow, Ilya Cuypers

Research Collection Lee Kong Chian School Of Business

In recent years, the world has witnessed a backlash against globalization and a rise in populist and nationalist movements around the world. However, there appears to be little empirical research concerning how these movements, and especially nationalist sentiment, actually influence trade. Therefore, we explore how and when nationalist sentiment within a country influences trade. Our results indicate that the effect of nationalist sentiment on imports is mediated by lower participation in free trade agreements (FTAs) but not via tariffs. Furthermore, we are unable to confirm support for a direct effect of nationalist sentiment on imports, as predicted by the consumer …

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State Institutions In Northeast Thailand: Lao Ethnics And The Thai Identity, Jacob Ricks Mar 2024

State Institutions In Northeast Thailand: Lao Ethnics And The Thai Identity, Jacob Ricks

Research Collection School of Social Sciences

In this last chapter on state representation, we focus on a case where there has been an absence of demands. In Northeast Thailand, the large ethnic Lao population has not demanded cultural concessions from the state. In fact, not only have the demands been absent, but most people in the region see themselves as Thai (the broader national identity) or Isan (a moniker meaning “northeast”)—as opposed to ethnically Lao. The absence of the Lao identity has less to do with the absence of civic associations from the bottom up than with the absence of political representation from the top down. …

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Migration And Resource Misallocation In China, Xiaolu Li, Lin Ma, Yang Tang Mar 2024

Migration And Resource Misallocation In China, Xiaolu Li, Lin Ma, Yang Tang

Research Collection School Of Economics

We structurally estimate the firm-level frictions across prefectures in China and quantify their aggregate and distributional implications. Based on a general equilibrium model with input and output distortions and migration, we show that the firm-level frictions are less dispersed and less correlated with firm productivity in richer prefectures. Counterfactual exercises show that reducing the within-prefecture misallocation increases aggregate welfare, discourages migration toward large prefectures, and reduces spatial inequality. Moreover, internal migration alleviates micro-frictions’ impacts on aggregate welfare and worsens their effects on spatial inequality.

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The Distributional Impacts Of Transportation Networks In China, Lin Ma, Yang Tang Mar 2024

The Distributional Impacts Of Transportation Networks In China, Lin Ma, Yang Tang

Research Collection School Of Economics

We document that the quality of roads and railroads vary substantially over time and space in China, and neglecting these variations biases the distributional impacts of transportation networks. To account for quality differences, we construct a new panel dataset and approximate quality using the design speed of roads and railroads that varies by vintage, class, and terrain at the pixel level. We then build a dynamic spatial general equilibrium model for multiple modes, transportation routes, and forward-looking migration decisions. Our findings demonstrate that disregarding quality differences leads to a median bias of approximately 31% in estimating real wage growth rates …

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Interim Regret Minimization, Wei He, Jiangtao Li, Kexin Wang Mar 2024

Interim Regret Minimization, Wei He, Jiangtao Li, Kexin Wang

Research Collection School Of Economics

We consider a robust version of monopoly pricing when the seller only knows the bound on valuations and the mean of the distribution of the buyer’s value. The seller seeks to minimize interim regret, the forgone expected revenue due to not knowing the distribution of the buyer’s value. The optimal pricing policy randomizes over a range of prices; the support of the pricing policy is bounded away from zero.

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Robust Inference On Correlation Under General Heterogeneity, Liudas Giraitis, Yuefei Li, Peter C. B. Phillips Mar 2024

Robust Inference On Correlation Under General Heterogeneity, Liudas Giraitis, Yuefei Li, Peter C. B. Phillips

Research Collection School Of Economics

Considerable evidence in past research shows size distortion in standard tests for zero autocorrelation or zero cross-correlation when time series are not independent identically distributed random variables, pointing to the need for more robust procedures. Recent tests for serial correlation and cross-correlation in Dalla, Giraitis, and Phillips (2022) provide a more robust approach, allowing for heteroskedasticity and dependence in uncorrelated data under restrictions that require a smooth, slowly-evolving deterministic heteroskedasticity process. The present work removes those restrictions and validates the robust testing methodology for a wider class of innovations and regression residuals allowing for heteroscedastic uncorrelated and non-stationary data settings. …

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The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang Mar 2024

The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang

Research Collection School Of Economics

Crémer and McLean (1988) show that the seller can extract full surplus almost always by an incentive compatible, individually rational mechanism in a single-unit auction model with a finite type space in which agents' beliefs are correlated and their valuations can be interdependent. We first show that this paradoxically positive result can be extended to a model of bilateral trades. To make it more realistic, we investigate when ex-post efficiency and ex-post budget balance in bilateral trades can also be achieved by an incentive compatible, individually rational mechanism. We identify a necessary condition for the existence of such mechanisms and …

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Robust Implementation In Rationalizable Strategies In General Mechanisms, Takashi Kunimoto, Rene Saran Mar 2024

Robust Implementation In Rationalizable Strategies In General Mechanisms, Takashi Kunimoto, Rene Saran

Research Collection School Of Economics

A social choice function (SCF) is robustly implementable in rationalizable strate-gies if every rationalizable strategy profile on every type space results in outcomes consistent with it. First, we establish an equivalence between robust implementation in rationalizable strategies and “weak rationalizable implementation”. Second, using the equivalence result, we identify weak robust monotonicity as a necessary and al-most sufficient condition for robust implementation in rationalizable strategies. This exhibits a contrast with robust implementation in interim equilibria, i.e., every equilib-rium on every type space achieves outcomes consistent with the SCF. Bergemann and Morris (2011) show that strict robust monotonicity is a necessary and …

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Age And Ideology: The Emergence Of New Political Cleavages In Thailand’S 2566 (2023) Election, Napon Jatusripitak, Jacob Ricks Mar 2024

Age And Ideology: The Emergence Of New Political Cleavages In Thailand’S 2566 (2023) Election, Napon Jatusripitak, Jacob Ricks

Research Collection School of Social Sciences

The Move Forward Party’s victory in Thailand’s 14 May 2566 (2023 CE) election surprised most observers, defying widespread predictions of a Pheu Thai win. Departing from traditional vote-mobilization strategies, Move Forward’s campaign focused largely on social media and broad calls for political reform while eschewing the vote-canvassing networks and economic policy promises that had delivered victory after victory for Pheu Thai. Does Move Forward’s win indicate changes in Thai voting behaviour? Relying on data from an original survey collected the week before and the week after the election, as well as observations from fieldwork, we identify two political cleavages that …

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