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Articles 91 - 120 of 1733
Full-Text Articles in Economics
Associative Networks In Decision Making, Jiangtao Li, Rui Tang, Mu Zhang
Associative Networks In Decision Making, Jiangtao Li, Rui Tang, Mu Zhang
Research Collection School Of Economics
We present a model of associative networks that captures how a decision maker expands her consideration set through mental associations between alternatives. This model serves as a tool to understand the influence of association on decision making. As a proof of concept, we characterize this model within a random attention framework and demonstrate that all the relevant parameters are uniquely identifiable. Notably, in a novel choice domain where not all observable alternatives are available, the presence of unavailable alternatives can affect the choice frequencies of other alternatives through association.
Financial Crises, Bailouts And Monetary Policy In Open Economies, Yang Jiao
Financial Crises, Bailouts And Monetary Policy In Open Economies, Yang Jiao
Research Collection School Of Economics
I jointly study the optimal bailout policy and monetary policy in open economies that borrow in foreign currency from international lenders. A policy dilemma emerges during financial crises. Policymakers trade off the benefit of more bailouts alleviating firms’ financial constraints against the cost of larger currency devaluation, which tightens firms’ financial constraints. I embed the optimal bailout in an otherwise standard “sudden stop” model with nominal rigidities. The model sheds light on the role of bailouts and currency mismatch in driving the exchange rate dynamics, firms’ balance sheets and economic recovery. Quantitatively, the model matches key business cycle moments. A …
Quantifying Delay Propagation In Airline Networks, Liyu Dou, Jakub Kastl, John Lazarev
Quantifying Delay Propagation In Airline Networks, Liyu Dou, Jakub Kastl, John Lazarev
Research Collection School Of Economics
We develop a framework for quantifying delay propagation in airline networks by integrating structural modeling and machine learning methods to estimate causal effects. Using a comprehensive dataset on actual delays and a model-selection algorithm (elastic net), we estimate a weighted directed graph of delay propagation for each major airline in the United States and establish conditions under which the propagation coefficients are causal. These estimates enable a decomposition of airline performance into "luck" and "ability." Our findings indicate that luck accounts for approximately 38% of the performance difference between Delta and American Airlines in our data. Additionally, we leverage these …
Recruitment Of Cxcr4+Type 1 Innate Lymphoid Cells Distinguishes Sarcoidosis From Other Skin Granulomatous Diseases, S. Sati, J. Huang, A.E. Kersh, P. Jones, O. Ahart, C. Murphy, S.M. Prouty, M.L. Hedberg, V. Jain, S.G. Gregory, Leung, Denis H. Y., J.T. Seykora, M. Rosenbach, T.H. Leung
Recruitment Of Cxcr4+Type 1 Innate Lymphoid Cells Distinguishes Sarcoidosis From Other Skin Granulomatous Diseases, S. Sati, J. Huang, A.E. Kersh, P. Jones, O. Ahart, C. Murphy, S.M. Prouty, M.L. Hedberg, V. Jain, S.G. Gregory, Leung, Denis H. Y., J.T. Seykora, M. Rosenbach, T.H. Leung
Research Collection School Of Economics
Sarcoidosis is a multiorgan granulomatous disease that lacks diagnostic biomarkers and targeted treatments. Using blood and skin from patients with sarcoid and non-sarcoid skin granulomas, we discovered that skin granulomas from different diseases exhibit unique immune cell recruitment and molecular signatures. Sarcoid skin granulomas were specifically enriched for type 1 innate lymphoid cells (ILC1s) and B cells and exhibited molecular programs associated with formation of mature tertiary lymphoid structures (TLSs), including increased CXCL12/CXCR4 signaling. Lung sarcoidosis granulomas also displayed similar immune cell recruitment. Thus, granuloma formation was not a generic molecular response. In addition to tissue-specific effects, patients with sarcoidosis …
Family Size And Child Migration: Do Daughters Face Greater Trade-Offs Than Sons?, Christine Ho, Yutao Wang, Sharon Xuejing Zuo
Family Size And Child Migration: Do Daughters Face Greater Trade-Offs Than Sons?, Christine Ho, Yutao Wang, Sharon Xuejing Zuo
Research Collection School Of Economics
We show that, conditional on family size, rural boys and girls are equally likely to migrate with parents in China. Nevertheless, daughters’ migration may still be compromised because they tend to have more siblings in societies with strong son preference, and larger families are more likely to leave all children behind. We find that a one unit increase in sibship size decreases the probability that a daughter migrates by 12.5 percentage points—with stronger effects when migration restrictions are more stringent—but has negligible effects on sons. The results suggest that gender-neutral migration constraints may generate gendered family size trade-offs.
Diverse Pathways To Permanent Childlessness In Singapore: A Latent Class Analysis, Yanwen Wang, Bussarawan Teerawichitchainan, Christine Ho
Diverse Pathways To Permanent Childlessness In Singapore: A Latent Class Analysis, Yanwen Wang, Bussarawan Teerawichitchainan, Christine Ho
Research Collection School Of Economics
The proportions of adults reaching midlife without having children have been rising rapidly across the globe, particularly in Asia. However, little is known about the pathways to permanent childlessness within the region’s childless population. This study utilized latent class analysis (LCA) to typologize pathways to childlessness based on dynamic characteristics of multiple life domains (i.e., partnership, education, and occupation) among 489 childless Singaporeans aged 50 and above from a 2022 nationwide survey. Additionally, we utilized multinomial logistic regressions to examine the sociodemographic correlates of pathway profiles and Shannon’s entropy index to assess the heterogeneity in pathways to childlessness among successive …
A Robust Optimization Approach To Mechanism Design, Jiangtao Li, Kexin Wang
A Robust Optimization Approach To Mechanism Design, Jiangtao Li, Kexin Wang
Research Collection School Of Economics
We study the design of mechanisms when the mechanism designer faces local uncertainty about agents’ beliefs. Specifically, we consider a designer who does not know the exact beliefs of the agents but is confident that her estimate is within ϵ of the beliefs held by the agents (where ϵ reflects the degree of local uncertainty). Adopting the robust optimization approach, we design mechanisms that incentivize agents to truthfully report their payoff-relevant information regardless of their actual beliefs. For any fixed ϵ, we identify necessary and sufficient conditions under which requiring this sense of robustness is without loss of revenue for …
Gradient Wild Bootstrap For Instrumental Variable Quantile Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang
Gradient Wild Bootstrap For Instrumental Variable Quantile Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang
Research Collection School Of Economics
We study the gradient wild bootstrap-based 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 the Wald inference, we show that our wild bootstrap Wald test, with or without studentization using the cluster-robust covariance estimator (CRVE), controls size asymptotically up to a small error as long as the parameter of endogenous variable is strongly identified in at least one of the clusters. We further show that the wild bootstrap Wald test …
The Interaction Effects Of Fintech And Bank Lending On Growth: Evidence From The Asean Region, Tan Swee Liang
The Interaction Effects Of Fintech And Bank Lending On Growth: Evidence From The Asean Region, Tan Swee Liang
Research Collection School Of Economics
This study examined the interaction effects of traditional bank lending and emerging fintech credit on economic growth in six ASEAN economies from 2013 to 2020. Using a two-way fixed effects (FE) model and the panel-corrected standard error (PCSE) method, the study found a statistically significant and positive interaction effect between bank lending and fintech credit. Specifically, fintech credit became increasingly important in shaping economic growth as bank lending ratios exceeded a certain threshold. Countries with high bank lending ratios experienced greater GDP per capita growth when accompanied by greater fintech credit. These findings suggest that policies supporting fintech development alongside …
Value Capture And Affordable Housing: Insights From Singapore, Sock Yong Phang
Value Capture And Affordable Housing: Insights From Singapore, Sock Yong Phang
Research Collection School Of Economics
To explain the role of value capture in Singapore’s progress, I will first provide some background information on Singapore and its housing sector. I will then take you on a journey back to the 1960s to show how we established our present institutional arrangements for land and housing. I will next describe how housing policies have evolved over the past six decades in response to changing contexts. Finally, I will conclude with the fiscal implications of successful value capture. Where relevant, I will indicate how Singapore’s policies align with George’s views.
Digital Payments And Consumption: Evidence From The 2016 Demonetization In India, Sumit Agarwal, Pulak Ghosh, Jing Li, Tianyue Ruan
Digital Payments And Consumption: Evidence From The 2016 Demonetization In India, Sumit Agarwal, Pulak Ghosh, Jing Li, Tianyue Ruan
Research Collection School Of Economics
We study how consumer spending responds to digital payments, using the differential switch to digital payments across consumers induced by the sudden 2016 Indian Demonetization for identification. Usage of digital payments rose by 3.38 percentage points and monthly spending increased by 3% for an additional 10 percentage points in prior cash dependence. Spending remained elevated even when cash availability recovered. Robustness analyses show that the spending response is not driven by income shocks, credit supply, price changes, or consumers' moving to the formal market. We provide evidence that digital payments increase consumer spending due to subdued salience.
Coarse Revealed Preference, Gaoji Hu, Jiangtao Li, John K-H Quah, Rui Tang
Coarse Revealed Preference, Gaoji Hu, Jiangtao Li, John K-H Quah, Rui Tang
Research Collection School Of Economics
We propose a novel concept of rationalization, called coarse rationalization, tailored for the analysis of datasets where an agent’s choices are imperfectly observed. We characterize those datasets which are rationalizable in this sense and present an efficient algorithm to verify the characterizing condition. We then demonstrate how our results can be applied through a duality approach to test the rationalizability of datasets with perfectly observed choices but imprecisely observed linear budget sets. For datasets that consist of both perfectly observed feasible sets and choices but are inconsistent with perfect rationality, our results could be used to measure the extent to …
Bubbly Booms And Welfare, Feng Dong, Yang Jiao, Haoning Sun
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 …
Hiv Estimation Using Population-Based Surveys With Non-Response: A Partial Identification Approach, Oyelola A. Adegboye, Tomoki Fujii, Denis H. Y. Leung, Siyu Li
Hiv Estimation Using Population-Based Surveys With Non-Response: A Partial Identification Approach, Oyelola A. Adegboye, Tomoki Fujii, Denis H. Y. Leung, Siyu Li
Research Collection School Of Economics
HIV estimation using data from the demographic and health surveys (DHS) is limited by the presence of non-response and test refusals. Conventional adjustments such as imputation require the data to be missing at random. Methods that use instrumental variables allow the possibility that prevalence is different between the respondents and non-respondents, but their performance depends critically on the validity of the instrument. Using Manski's partial identification approach, we form instrumental variable bounds for HIV prevalence from a pool of candidate instruments. Our method does not require all candidate instruments to be valid. We use a simulation study to evaluate and …
Rank-Guaranteed Auctions, Wei He, Jiangtao Li, Weijie Zhong
Rank-Guaranteed Auctions, Wei He, Jiangtao Li, Weijie Zhong
Research Collection School Of Economics
We propose a combinatorial ascending auction that is “approximately” optimal, requiring minimal rationality to achieve this level of optimality, and is robust to strategic and distributional uncertainties. Specifically, the auction is rankguaranteed, meaning that for any menu M and any valuation profile, the ex-post revenue is guaranteed to be at least as high as the highest revenue achievable from feasible allocations, taking the (|M| + 1)th-highest valuation for each bundle as the price. Our analysis highlights a crucial aspect of combinatorial auction design, namely, the design of menus. We provide simple and sufficient menus in various settings.
Reading The Candlesticks: An Ok Estimator For Volatility, Jia Li, Dishen Wang, Qiushi Zhang
Reading The Candlesticks: An Ok Estimator For Volatility, Jia Li, Dishen Wang, Qiushi Zhang
Research Collection School Of Economics
We propose an Optimal candlesticK (OK) estimator for the spot volatility using high-frequency candlestick observations. Under a standard infill asymptotic setting, we show that the OK estimator is asymptotically unbiased and has minimal asymptotic variance within a class of linear estimators. Its estimation error can be coupled by a Brownian functional, which permits valid inference. Our theoretical and numerical results suggest that the proposed candlestick-based estimator is much more accurate than the conventional spot volatility estimator based on high-frequency returns. An empirical illustration documents the intraday volatility dynamics of various assets during the Fed chairman's recent congressional testimony.
Enhancing Student Engagement In Introductory Economics With Interactive Videos And Synthesized Readings In Flipped Learning, Bei Hong, Duan Ning, Magdeleine Lew
Enhancing Student Engagement In Introductory Economics With Interactive Videos And Synthesized Readings In Flipped Learning, Bei Hong, Duan Ning, Magdeleine Lew
Research Collection School Of Economics
A major challenge faced by university economics instructors is to find more time to incorporate active learning into the classroom, which encourages student participation. As a result, more instructors choose to flip their classrooms, in which students are encouraged to perform preparatory reading or watch videos to participate more meaningfully and learn more effectively. This study aims to examine how pre-lecture materials enhance student participation by examining the effectiveness of two types of materials: interactive videos and synthesized readings. The synthesized readings contain essential information extracted from the textbook and is presented in a structured manner with highlighted key points. …
Childlessness, Social Network Profiles In Midlife And Late Adulthood, And Their Implications For Subjective Well-Being, Bussarawan Teerawichitchainan, Dahye Kim, Christine Ho
Childlessness, Social Network Profiles In Midlife And Late Adulthood, And Their Implications For Subjective Well-Being, Bussarawan Teerawichitchainan, Dahye Kim, Christine Ho
Research Collection School Of Economics
Objectives: Despite the rising prevalence of individuals reaching advanced age without children, little is known about the diversity of support networks within childless populations. We examine the network profiles of childless adults aged 50+ in Singapore, which observes high childlessness rates despite societal emphasis on familism. Methods: We employ latent class analysis to derive network typology based on a 2022 nationwide survey in Singapore. Additionally, we use logistic regression analyses to investigate the sociodemographic correlates of childless individuals' network types and the associations between these network types and subjective well-being. Results: Childless Singaporeans form a heterogeneous group characterized by different …
Weight Misperceptions And Health Management Via Information Nudges, Lanjie Wang, Xuan Zhang, Seonghoon Kim, Kanghyock Koh
Weight Misperceptions And Health Management Via Information Nudges, Lanjie Wang, Xuan Zhang, Seonghoon Kim, Kanghyock Koh
Research Collection School Of Economics
Being overweight or obese is a serious public health problem. Misperception of one's own weight status and inertia are major obstacles to weight control. To overcome these two problems, we conduct a randomized controlled trial in which participants are presented with the correct weight category based on their body mass index to remove any weight misperception, and then given six biweekly reminders about healthy diet and physical activity via SMS/email. We find that our intervention reduces individuals’ weight misperception and encourages healthier dietary choices. However, it has little impact on their physical activity. We further show that people who were …
Trade Imbalance, Heavy Goods, And Pollution, Jungho Lee, Shang-Jin Wei, Jianhuan Xu
Trade Imbalance, Heavy Goods, And Pollution, Jungho Lee, Shang-Jin Wei, Jianhuan Xu
Research Collection School Of Economics
We propose a new welfare effect of trade surplus. Guided by insight from several fields in economics, we provide evidence that an increase in a country's trade surplus alters the unit shipping costs for its trade and the composition of its imports in ways that induce more pollution in the country in equilibrium. This new form of welfare loss of trade imbalance has not been accounted for in the existing international economics literature
Regulatory Protection And The Role Of International Cooperation, Yuan Mei
Regulatory Protection And The Role Of International Cooperation, Yuan Mei
Research Collection School Of Economics
I develop a general equilibrium framework to analyze the welfare consequences of product regulations and their international harmonization. In my model, raising product standards reduces a negative consumption externality, but also increases the marginal and fixed costs of production. When product standards are set noncooperatively, the effects of standards on other countries' wages and number of firms are not internalized, giving rise to an international inefficiency. The World Trade Organization's nondiscrimination principle of national treatment only partly addresses this inefficiency. Welfare losses from abandoning national treatment average 2.8%, whereas the maximum welfare gains from efficient cooperation average 11.8%.
Better The Devil You Know: Improved Forecasts From Imperfect Models, Dong Hwan Oh, Andrew John Patton
Better The Devil You Know: Improved Forecasts From Imperfect Models, Dong Hwan Oh, Andrew John Patton
Research Collection School Of Economics
Many important economic decisions are based on a parametric forecasting model that is known to be good but imperfect. We propose methods to improve out-of-sample forecasts from a misspecified model by estimating its parameters using a form of local M estimation (thereby nesting local OLS and local MLE), drawing on information from a state variable that is correlated with the misspecification of the model. We theoretically consider the forecast environments in which our approach is likely to offer improvements over standard methods, and we find significant forecast improvements from applying the proposed method across four distinct empirical analyses including volatility …
Allocating Vehicle Registration Permits, Massimiliano Landi, Domenico Menicucci
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 …
The Balance Of Concessions In Trade Agreements, Mostafa Beshkar, Pao-Li Chang, Shenxi Song
The Balance Of Concessions In Trade Agreements, Mostafa Beshkar, Pao-Li Chang, Shenxi Song
Research Collection School Of Economics
This paper introduces a quantitative framework to analyze the WTO’s reciprocity principle. Utilizing two polar bargaining environments, we measure terms-of-trade concessions among WTO members and examine how shifts in applied tariffs and economic fundamentals affect bilateral and multilateral balance of concessions. We find significant disparities in concessions, largely driven by the rise in trade imbalances since the early 1990s. Notably, although US-China bilateral tariffs suggest considerable terms-of-trade benefits for China, under a hypothetical balanced trade scenario, their relationship evolves towards near reciprocity following China’s accession to the WTO. Furthermore, in contrast to the significant gains in its relationship with the …
Housing Markets Since Shapley And Scarf, Mustafa Oguz Afacan, Gaoji Hu, Jiangtao Li
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.
Wild Bootstrap Inference For Instrumental Variables Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang
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 …
Hiv Estimation Using Population Based Surveys With Non-Response: A Partial Identification Approach, Oyelola A Adegboye, Tomoki Fujii, Denis H. Y. Leung, Siyu Li
Hiv Estimation Using Population Based Surveys With Non-Response: A Partial Identification Approach, Oyelola A Adegboye, Tomoki Fujii, Denis H. Y. Leung, Siyu Li
Research Collection School Of Economics
HIV estimation using data from the Demographic and Health Surveys (DHS) is lim-ited by the presence of non-response and test refusals. Conventional adjustments such as imputation require the data to be missing at random. Methods that use instrumental variables allow the possibility that prevalence is different between the respondents and non-respondents, but their performance depends critically on the validity of the instru-ment. Using Manski’s partial identification approach, we form instrumental variable bounds for HIV prevalence from a pool of candidate instruments. Our method does not require all candidate instruments to be valid. We use a simulation study to evaluate and …
Uniform Nonparametric Inference For Spatially Dependent Panel Data, Jia Li, Zhipeng Liao, Wenyu Zhou
Uniform Nonparametric Inference For Spatially Dependent Panel Data, Jia Li, Zhipeng Liao, Wenyu Zhou
Research Collection School Of Economics
This article proposes a uniform functional inference method for nonparametric regressions in a panel-data setting that features general unknown forms of spatio-temporal dependence. The method requires a long time span, but does not impose any restriction on the size of the cross section or the strength of spatial correlation. The uniform inference is justified via a new growing-dimensional Gaussian coupling theory for spatio-temporally dependent panels. We apply the method in two empirical settings. One concerns the nonparametric relationship between asset price volatility and trading volume as depicted by the mixture of distribution hypothesis. The other pertains to testing the rationality …
The Interplay Of Interdependence And Correlation In Bilateral Trade, Takashi Kunimoto, Cuiling Zhang
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 …
Robust Inference On Correlation Under General Heterogeneity, Liudas Giraitis, Yuefei Li, Peter C. B. Phillips
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. …