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Articles 2341 - 2370 of 9289
Full-Text Articles in Social and Behavioral Sciences
Financing Singapore’S Smes And The Crowdfunding Industry In Singapore, Swee Liang Tan, Yoke Wang Tok, Chansriniyom Thitipat
Financing Singapore’S Smes And The Crowdfunding Industry In Singapore, Swee Liang Tan, Yoke Wang Tok, Chansriniyom Thitipat
Research Collection School Of Economics
As new digital technologies emerge that make the provision of financial services more efficient, they hold the potential to address barriers that SMEs face in accessing credit. This paper finds empirical evidence that crowdfunding for SMEs improved SMEs’ timeliness to pay debt in Singapore. Anecdotal evidence from growing SMEs suggests that getting crowdfunding loans also induced financing from banks, leading to more efficient allocation of credit. In just four years, Singapore’s crowdfunding volume has grown rapidly making it one of the top crowdfunding hubs in Southeast Asia in 2018. The rapid development of Singapore’s crowdfunding industry can be attributed to …
Volatility Coupling, Jean Jacod, Jia Li, Zhipeng Liao
Volatility Coupling, Jean Jacod, Jia Li, Zhipeng Liao
Research Collection School Of Economics
This paper provides a strong approximation, or coupling, theory for spot volatility estimators formed using high-frequency data. We show that the t-statistic process associated with the nonparametric spot volatility estimator can be strongly approximated by a growing-dimensional vector of independent variables defined as functions of Brownian increments. We use this coupling theory to study the uniform inference for the volatility process in an infill asymptotic setting. Specifically, we propose uniform confidence bands for spot volatility, beta, idiosyncratic variance processes, and their nonlinear transforms. The theory is also applied to address an open question concerning the inference of monotone nonsmooth integrated …
Wild Bootstrap For Instrumental Variable Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang
Wild Bootstrap For Instrumental Variable Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang
Research Collection School Of Economics
We study the wild bootstrap inference for instrumental variable (quantile) regressions in the framework of a small number of large clusters, in which the number of clusters is viewed as fixed and the number of observations for each cluster diverges to infinity. For subvector inference, we show that the wild bootstrap Wald test with or without using the cluster-robust covariance matrix 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. We further develop a wild bootstrap Anderson-Rubin (AR) test for full-vector inference and …
Jobs For Justice(S): Corruption In The Supreme Court Of India, Madhav S. Aney, Shubhankar Dam, Giovanni Ko
Jobs For Justice(S): Corruption In The Supreme Court Of India, Madhav S. Aney, Shubhankar Dam, Giovanni Ko
Research Collection School Of Economics
We investigate whether judicial decisions are affected by career concerns of judges by analyzing two questions: Do judges respond to incentives to pander by ruling in favor of the government in the hope of receiving jobs after retiring from the Supreme Court? Does the government reward judges who rule in its favor with prestigious jobs? We construct a data set of Supreme Court of India cases involving the government for 1999–2014. We find that incentives to pander have a causal effect on judicial decision-making, and they are jointly determined by the importance of the case and whether the judge retires …
Glivenko-Cantelli Theorems For Integrated Functionals Of Stochastic Processes, Jia Li, Congshan Zhang, Yunxiao Liu
Glivenko-Cantelli Theorems For Integrated Functionals Of Stochastic Processes, Jia Li, Congshan Zhang, Yunxiao Liu
Research Collection School Of Economics
We prove a Glivenko-Cantelli theorem for integrated functionals of latent continuous-time stochastic processes. Based on a bracketing condition via random brackets, the theorem establishes the uniform convergence of a sequence of empirical occupation measures towards the occupation measure induced by underlying processes over large classes of test functions, including indicator functions, bounded monotone functions, Lipschitz-in-parameter functions, and Hölder classes as special cases. The general Glivenko-Cantelli theorem is then applied in more concrete high-frequency statistical settings to establish uniform convergence results for general integrated functionals of the volatility of efficient price and local moments of microstructure noise.
Efficient Estimation Of Integrated Volatility Functionals Under General Volatility Dynamics, Jia Li, Yunxiao Liu
Efficient Estimation Of Integrated Volatility Functionals Under General Volatility Dynamics, Jia Li, Yunxiao Liu
Research Collection School Of Economics
We provide an asymptotic theory for the estimation of a general class of smooth nonlinear integrated volatility functionals. Such functionals are broadly useful for measuring financial risk and estimating economic models using high-frequency transaction data. The theory is valid under general volatility dynamics, which accommodates both Itô semimartingales (e.g., jump-diffusions) and long-memory processes (e.g., fractional Brownian motions). We establish the semiparametric efficiency bound under a nonstandard nonergodic setting with infill asymptotics, and show that the proposed estimator attains this efficiency bound. These results on efficient estimation are further extended to a setting with irregularly sampled data.
Distracted: Why Students Cannot Focus By James M. Lang, Joax Wong, Andree Hartanto
Distracted: Why Students Cannot Focus By James M. Lang, Joax Wong, Andree Hartanto
Research Collection School of Social Sciences
Humans are easily distracted creatures. Our attention seems to constantly waver, shifting every second to different objects, sounds or stimuli. As we transition into adolescence, we start to hear the all-too familiar phrase that technology – smartphones, laptops, televisions and gaming devices – is an obstacle preventing us from reaching full productivity and sapping our attention. In Distracted: Why Students Can’t Focus and What You Can Do About It, James Lang describes the oftentimes complicated and false conceptions about distraction and the part that technology plays in it. Currently, society places extremely high demands on students and expects them to …
Beyond The "Formidable Circle": Race And The Limits Of Democratic Inclusion In Tocqueville's Democracy In America, Christine Dunn Henderson
Beyond The "Formidable Circle": Race And The Limits Of Democratic Inclusion In Tocqueville's Democracy In America, Christine Dunn Henderson
Research Collection School of Social Sciences
Despite his assertion that the first volume of Democracy in America (1835) would concentrate upon institutions, Tocqueville found himself finishing the draft manuscript in 1834 and unable to conclude his study without discussing race relations in the United States. In the end, he quickly penned a final chapter. That chapter—by far the book’s longest—offers “Some Considerations on the Present State and Probable Future of the Three Races That Inhabit the Territory of the United States.” Tocqueville begins the chapter by acknowledging that its subject “is American without being democratic” (DA, p. 516), and to the extent that it analyzes slavery …
Subjective Age And Inflammation Risk In Midlife Adults: Findings From The Midlife In The United States (Midus) Studies, Andree Hartanto, Nadyanna M. Majeed, Wee Qin Ng, Colin Kai Ning Chai, Verity Yu Qing Lua
Subjective Age And Inflammation Risk In Midlife Adults: Findings From The Midlife In The United States (Midus) Studies, Andree Hartanto, Nadyanna M. Majeed, Wee Qin Ng, Colin Kai Ning Chai, Verity Yu Qing Lua
Research Collection School of Social Sciences
Recent studies have suggested that subjective age—a subjective evaluation of one's own age—is a promising construct in gerontology that may contribute our understanding of risk for immune dysfunction. Nevertheless, studies documenting the association between subjective age and inflammatory biomarkers remain limited and provide mixed findings. In the present study, we revisited the relation between subjective age and systemic inflammation by utilizing a range of well-established inflammatory biomarkers (C-reactive protein, interleukin-6, fibrinogen, E-selectin, and intercellular adhesion molecule 1) through the collection of fasting blood samples before breakfast. In a large-scale dataset of midlife adults (N = 1800), we found some evidence …
How To Stop Procrastinating When Working From Home, Tina Li Yi Ng, Andree Hartanto
How To Stop Procrastinating When Working From Home, Tina Li Yi Ng, Andree Hartanto
Research Collection School of Social Sciences
Work-from-home arrangements that came about because of the pandemic offer many opportunities to procrastinate
A Multi-Country Test Of Brief Reappraisal Interventions On Emotions During The Covid-19 Pandemic, Ka Wang, Amit Goldenberg, Charles Dorison, Et Al., Nadyanna Mohamed Majeed, Andree Hartanto
A Multi-Country Test Of Brief Reappraisal Interventions On Emotions During The Covid-19 Pandemic, Ka Wang, Amit Goldenberg, Charles Dorison, Et Al., Nadyanna Mohamed Majeed, Andree Hartanto
Research Collection School of Social Sciences
The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across …
We’Re In A Climate Casino: Here’S How To Fight Against The Odds, Winston T. L. Chow
We’Re In A Climate Casino: Here’S How To Fight Against The Odds, Winston T. L. Chow
Research Collection School of Social Sciences
Extreme weather events point to an increasingly dangerous roulette game we play. Individuals and businesses can do their part but governments must do more at the upcoming Glasgow climate conference.
Media In A Time Of Crisis: Newspaper Coverage Of Covid-19 In East Asia;, Colm A. Fox
Media In A Time Of Crisis: Newspaper Coverage Of Covid-19 In East Asia;, Colm A. Fox
Research Collection School of Social Sciences
How have newspapers covered Covid-19 in Asia? To answer this question, I studied East Asian English-language newspapers published between January and July 2020. First, I measured the level of news media attention on Covid-19 among all reports. Second, I analyzed the tone and content of 330 editorials. I divided the analysis into two time periods: the initial crisis breakout period, when the number of infections was rising or high, and the crisis abatement period, when new infections declined to manageable levels. Findings show that although newspapers were slow to begin addressing the pandemic, their early editorials carried an alarming tone, …
A Deep Ensemble Method For Multi-Agent Reinforcement Learning: A Case Study On Air Traffic Control, Supriyo Ghosh, Sean Laguna, Laura Wynter, Laura Wynter, Hasan Poonawala
A Deep Ensemble Method For Multi-Agent Reinforcement Learning: A Case Study On Air Traffic Control, Supriyo Ghosh, Sean Laguna, Laura Wynter, Laura Wynter, Hasan Poonawala
Research Collection School Of Computing and Information Systems
Reinforcement learning (RL), a promising framework for data-driven decision making in an uncertain environment, has successfully been applied in many real-world operation and control problems. However, the application of RL in a large-scale decentralized multi-agent environment remains a challenging problem due to the partial observability and limited communications between agents. In this paper, we develop a model-based kernel RL approach and a model-free deep RL approach for learning a decentralized, shared policy among homogeneous agents. By leveraging the strengths of both these methods, we further propose a novel deep ensemble multi-agent reinforcement learning (MARL) method that efficiently learns to arbitrate …
Missing Power: Nostalgia And Disillusionment Among Southern California Water Engineers, Sayd Randle
Missing Power: Nostalgia And Disillusionment Among Southern California Water Engineers, Sayd Randle
Research Collection College of Integrative Studies
California's sprawling network of aqueducts and dams is often cited as the embodiment of a high-modernist approach to resource management. But while once widely celebrated, in recent decades this infrastructural system and the institutions that manage it have been the subject of growing criticism and shrinking funding streams. Based on ethnographic research among employees at several California water agencies, this article explores the sense of nostalgia and diminished power experienced by the workers tasked with overseeing these networks. These emic perspectives are frequently articulated in the form of unfavorable comparisons to an imagined past, when the workers believe that their …
Discovery Of Mental Wellness Via Social Analytics For Liveability In An Urban City, Kar Way Tan
Discovery Of Mental Wellness Via Social Analytics For Liveability In An Urban City, Kar Way Tan
Research Collection School Of Computing and Information Systems
Smart cities, are often perceived as urban areas that use technologies to manage resources, improve economy and enhance community livelihood. In this paper, we share an approach which uses multiple sources of data for evidence-based analysis of the public's views, concerns and sentiments on the topic related to mental wellness. We hope to bring forth a better understanding of the existing concerns of the citizens and available social support. Our study leverages on social sensing via text mining and social network analysis to listen to the voices of the citizens through revealed content from web data sources, such as social …
How Do You Visit: Identifying Addicts From Large-Scale Transit Records Via Scenario Deep Embedding, Canghong Jin, Dongkai Chen, Zhiwei Lin, Zemin Liu, Minghui Wu
How Do You Visit: Identifying Addicts From Large-Scale Transit Records Via Scenario Deep Embedding, Canghong Jin, Dongkai Chen, Zhiwei Lin, Zemin Liu, Minghui Wu
Research Collection School Of Computing and Information Systems
Identification of individuals based on transit modes is of great importance in user tracking systems. However, identifying users in real-life studies is not trivial owing to the following challenges: 1) activity data containing both temporal and spatial context are high-order and sparse; 2) traditional two-step classifiers depend on trajectory patterns as input features, which limits accuracy especially in the case of scattered and diverse data; 3) in some cases, there are few positive instances and they are difficult to detect. Therefore, approaches involving statistics-based or trajectory-based features do not work effectively. Deep learning methods also suffer from the problem of …
On Aqueducts And Anxiety: Water Infrastructure, Ruination, And A Region-Scaled Anthropocene Imaginary, Sayd Randle
On Aqueducts And Anxiety: Water Infrastructure, Ruination, And A Region-Scaled Anthropocene Imaginary, Sayd Randle
Research Collection College of Integrative Studies
This paper explores popular expectations for and meanings of the U.S. West's environmental future, as articulated through recent artistic representations of the Los Angeles's expansive water provision network. Weaving together material from participant observation and readings of creative works, I show how infrastructural imagery is used to index anxieties about a future of water scarcity. Presenting familiar, currently functional water infrastructures as ruins-in-the-making, these artists use the physical stuff of water provision networks to advance critiques of longstanding modes of development and the material basis of urban-rural relations in the U.S. West. Doing so, these imagined ruins draw the global-scale …
The Impact Of Temperature On Labor Quality: Umpire Accuracy In Major League Baseball, Eric Fesselmeyer
The Impact Of Temperature On Labor Quality: Umpire Accuracy In Major League Baseball, Eric Fesselmeyer
Research Collection College of Integrative Studies
Using data from Major League Baseball, I compute an objective measure of the home plate umpire's work quality-the accuracy of his ball and strike calls during a game-and measure how it varies with temperature. I find that an increase in game-time temperature from between 70 and 80 degrees F to above 95 degrees F decreases an umpire's accuracy by a little less than a percentage point, which is a 5.5% increase in the pitch-calling error rate when evaluated at the mean error rate of 13.3%. Restricting the sample to borderline pitches increases the magnitude of the hot-weather effect on accuracy …
The Unique Role Of The State Press In The Chinese Economy, Singapore Management University
The Unique Role Of The State Press In The Chinese Economy, Singapore Management University
Perspectives@SMU
CUHK research investigates the role played by China’s state-owned media in supplying information vital to the functioning of China’s capital markets
We Are Partners! Connecting Through Collaboration And Engagement With Communities At Smu Libraries, Wei Xia
We Are Partners! Connecting Through Collaboration And Engagement With Communities At Smu Libraries, Wei Xia
Research Collection Library
No abstract provided.
Squawking About Persistently Higher Inflation?, Thomas Lam
Squawking About Persistently Higher Inflation?, Thomas Lam
Sim Kee Boon Institute for Financial Economics
All signs point to an uncertain path for inflation in the future. While inflation is set to stay prospectively higher in the US in the near-term, it's unlikely to remain so.
Forecast Pooling Or Information Pooling During Crises? Midas Forecasting Of Gdp In A Small Open Economy, Hwee Kwan Chow-Tan, Daniel Han
Forecast Pooling Or Information Pooling During Crises? Midas Forecasting Of Gdp In A Small Open Economy, Hwee Kwan Chow-Tan, Daniel Han
SMU Economics and Statistics Working Paper Series
This study compares two distinct approaches, pooling forecasts from single indicator MIDAS models versus pooling information from indicators into factor MIDAS models, for short-term Singapore GDP growth forecasting with a large ragged-edge mixed frequency dataset. We investigate their relative predictive performance in a pseudo-out-of-sample forecasting exercise from 2007Q4 to 2020Q3. In the stable growth non-crisis period, no substantial difference in predictive performance is found across forecast models. We find factor MIDAS models dominate both the quarterly benchmark model and the forecast pooling strategy by wide margins in the Global Financial Crisis and the Covid-19 crisis. Reflecting the small open nature …
Understanding But Unhelpful: Do Grateful People Value Responsiveness Or Perceived Benefit When Receiving Help?, Elizabeth Lim
Understanding But Unhelpful: Do Grateful People Value Responsiveness Or Perceived Benefit When Receiving Help?, Elizabeth Lim
Dissertations and Theses Collection (Open Access)
Two studies examined the links between the grateful disposition, cognitive appraisals (perceived value and perceived responsiveness), state gratitude, and affiliative intentions (one’s desire to build or maintain relationships with his/her benefactor). In Study 1, 248 participants went through a guided scenario task where they recalled help experiences that were helpful and not so helpful. Dispositional gratitude predicted perceived value and perceived responsiveness (H1A and H1B). These cognitive appraisals in turn predicted state gratitude (H2 and H3). Finally, state gratitude predicted affiliative intentions (H4). Supporting H5A and H5B, cognitive appraisals and state gratitude mediated the link between dispositional gratitude and affiliative …
Special Report On Covid-19 Vaccination Trends Among Older Adults In Singapore, Micah Tan, Paulin T. Straughan, Wensi Lim, Grace Cheong
Special Report On Covid-19 Vaccination Trends Among Older Adults In Singapore, Micah Tan, Paulin T. Straughan, Wensi Lim, Grace Cheong
ROSA Research Briefs
This report examines trends in vaccination among older adults in Singapore to better understand why segments of older adults continue to resist vaccination against COVID-19. We find that individuals who were most likely to still be waiting to vaccinate or to not want to be vaccinated as of June 2021; are relatively older (aged 71-75), are of lower socioeconomic status (lower education levels and living in 1-3 room HDB flats), were the least likely to rely on Newspapers and Government Sources as sources of information for COVID-19 related news in November 2020, were least trusting of all sources of information, …
Preparing Accountants Of The Future: A Programme In Accounting Data And Analytics, Poh Sun Seow, Clarence Goh, Gary Pan
Preparing Accountants Of The Future: A Programme In Accounting Data And Analytics, Poh Sun Seow, Clarence Goh, Gary Pan
Research Collection School Of Accountancy
The accounting profession is rapidly evolving due to technological innovations. Technologies such as the Internet of things, smart sensors, cloud computing, robotics, and artificial intelligence are combining to disrupt the way that businesses operate. It is predicted that, over the next decade, information technology (IT) will significantly transform the accounting profession.
Embracing Digital Transformation In Accounting And Finance, Poh Sun Seow, Clarence Goh, Gary Pan, Melvin Yong, Joanna Chek
Embracing Digital Transformation In Accounting And Finance, Poh Sun Seow, Clarence Goh, Gary Pan, Melvin Yong, Joanna Chek
Research Collection School Of Accountancy
Digital transformation involves the integration of digital technologies and business processes. Recent developments in digital technologies have provided organisations with the tools to embark on digital transformation encompassing a wide range of business processes and activities. Organisations that can leverage on technology to digitally transform themselves stand to put themselves at a significant competitive advantage relative to their competitors.
Students’ Evaluation Of Teaching In The Project-Based Learning Programme: An Instrument And A Development Process, Gary Pan, Venky Shankararaman, Kevin Koh, Sandy Gan
Students’ Evaluation Of Teaching In The Project-Based Learning Programme: An Instrument And A Development Process, Gary Pan, Venky Shankararaman, Kevin Koh, Sandy Gan
Research Collection School Of Accountancy
Students' evaluation of teaching (SET) is widely adopted in most universities. Besides allowing teachers to improve their teaching, SET offers an important input for university administrators' consideration in faculty promotion, contract renewal, salary increase and teaching award. While the practice of using SET instrument is well established, it remains ambiguous in the SET literature whether a dedicated SET instrument is used for alternative teaching pedagogy. Our paper argues that SET instrument may need to be re-designed to reflect the idiosyncrasy of another teaching pedagogy. Accordingly, this paper presents the development process of a SET instrument used to measure an alternative …
The Belt And Road Initiative Agreements: Characteristics, Rationale, And Challenges, Heng Wang
The Belt And Road Initiative Agreements: Characteristics, Rationale, And Challenges, Heng Wang
Research Collection Yong Pung How School Of Law
The Belt and Road Initiative (BRI) has brought with it an unprecedented number of agreements. BRI agreements consist of primary agreements (particularly MOUs) and secondary agreements (like performance agreements). They are a distinct, landmark feature of the BRI. Focusing on primary agreements and their close link with secondary agreements, this paper explores the following questions: What are the legal status and characteristics of primary agreements? Why are they adopted by China? What challenges do they face? BRI primary agreements can be regarded as a form of soft law, but that repurposes soft law characteristics for project development rather than rule …
Crisis Communication, Anticipated Food Scarcity, And Food Preferences: Preregistered Evidence Of The Insurance Hypothesis, Michal Folwarczny, Jacob D. Christensen, Norman P. Li, Valdimar Sigurdsson, Tobias Otterbring
Crisis Communication, Anticipated Food Scarcity, And Food Preferences: Preregistered Evidence Of The Insurance Hypothesis, Michal Folwarczny, Jacob D. Christensen, Norman P. Li, Valdimar Sigurdsson, Tobias Otterbring
Research Collection School of Social Sciences
Whereas large-scale consumption of energy-dense foods contributes to climate change, we investigated whether exposure to climate change-induced food scarcity affects preferences toward these foods. Humans? current psychological mechanisms have developed in their ancestral evolutionary past to respond to immediate threats and opportunities. Consequently, these mechanisms may not distinguish between cues to actual food scarcity and cues to food scarcity distant in time and space. Drawing on the insurance hypothesis, which postulates that humans should respond to environmental cues to food scarcity through increased energy consumption, we predicted that exposing participants to climate change-induced food scarcity content increases their preferences toward …