Social and Behavioral Sciences Commons^™

Spatial Disaggregation Of Poverty And Disability: Application To Tanzania, Tomoki Fujii

Research Collection School Of Economics

Estimating poverty measures for disabled people in developing countries is often difficult, partly because relevant data are not readily available. We extend the small-area estimation developed by Elbers, Lanjouw and Lanjouw (2002, 2003) to estimate poverty by the disability status of the household head, when the disability status is unavailable in the survey. We propose two alternative approaches to this extension: Aggregation and Instrumental Variables Approaches. We apply these approaches to data from Tanzania and show that both approaches work. Our estimation results show that disability is indeed positively associated with poverty in every region of mainland Tanzania.

Common Bubble Detection In Large Dimensional Financial Systems, Ye Chen, Peter C. B. Phillips, Shuping Shi

Research Collection School Of Economics

Price bubbles in multiple assets are sometimes nearly coincident in occurrence. Such near-coincidence is strongly suggestive of co-movement in the associated asset prices and is likely driven by certain factors that are latent in the financial or economic system with common effects across several markets. Can we detect the presence of such common factors at the early stages of their emergence? To answer this question, we build a factor model that includes I(1), mildly explosive, and stationary factors to capture normal, exuberant, and collapsing phases in such phenomena. The I(1) factor models the primary driving force of market fundamentals. The …

Where The World Is Heading In 2023 And Beyond, Simon Baptist

Asian Management Insights

The global economy is showing resilience, despite strong headwinds. Geopolitical uncertainty remains high, while the mounting threats from climate change call for more urgent global action.

Navigating Investor Expectations, Yong Hsin Ning, Yvette Lim

Asian Management Insights

Why start-ups need to speak the language of numbers.

The Impact Of Upzoning On Housing Construction In Auckland*, Ryan Greenaway-Mcgrevy, Peter C. B. Phillips

Research Collection School Of Economics

There is a growing debate about whether upzoning is an effective policy response to housing shortages and unaffordable housing. This paper provides empirical evidence to further inform debate by examining the various impacts of recently implemented zoning reforms on housing construction in Auckland, the largest metropolitan area in New Zealand. In 2016, the city upzoned approximately three quarters of its residential land to facilitate construction of more intensive housing. We use a quasi-experimental approach to analyze the short-run impacts of the reform on construction, allowing for potential shifts in construction from non-upzoned to upzoned areas (displacement effects) that would, if …

Multivariate Stochastic Volatility Models Based On Generalized Fisher Transformation, Han Chen, Yijie Fei, Jun Yu

Research Collection School Of Economics

Modeling multivariate stochastic volatility (MSV) can be challenging, particularly when both variances and covariances are time-varying. In this paper, we address these challenges by introducing a new MSV model based on the generalized Fisher transformation of Archakov and Hansen (2021). Our model is highly exible and ensures that the variance-covariance matrix is always positive-definite. Moreover, our approach separates the driving factors of volatilities and correlations. To conduct Bayesian analysis of the model, we use a Particle Gibbs Ancestor Sampling (PGAS) method, which facilitates Bayesian model comparison. We also extend our MSV model to cover the leverage effect in volatilities and …

Seeking Better Sharpe Ratio Via Bayesian Optimization, Peng Liu

Research Collection Lee Kong Chian School Of Business

Developing an excellent quantitative trading strategy to obtain a high Sharpe ratio requires optimizing several parameters at the same time. Example parameters include the window length of a moving average sequence, the choice of trading instruments, and the thresholds used to generate trading signals. Simultaneously optimizing all these parameters to seek a high Sharpe ratio is a daunting and time-consuming task, partly because of the unknown mechanism determining the Sharpe ratio. This article proposes using Bayesian optimization to systematically search for the optimal parameter configuration that leads to a high Sharpe ratio. The author shows that the proposed intelligent search …

The Importance Of The First Generic Substitution: Evidence From Sweden, Aljoscha Janssen, David Granlund

Research Collection School Of Economics

We analyze changes in the willingness to substitute from prescribed pharmaceuticals to more affordable generic equivalents in response to the first experience with a substitution. Using Swedish individual-level data of prescribed and dispensed pharmaceuticals, we em-ploy a dynamic event study and an instrumental variable approach to show that an initial substitution reduces the probability of opposing subsequent substitutions by 39 percent-age points. We recommend that policy-makers target patients with a history of opposed substitution and offer additional discounts to promote substitution as long-term savings outweigh one-time costs.

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 …

Young Women In Cities, Yumi Koh, Li Jing, Yifan Wu, Junjian Yi, Hanzhe Zhang

Research Collection School Of Economics

Young women outnumber young men in cities in many countries during periods of economic growth and urbanization. This gender imbalance among young urbanites is more pronounced in larger cities. We use the gradual rollout of special economic zones across China as a quasi-experiment to establish the causes of this gender imbalance. Our analysis suggests that a key contributor is gender-differential incentives to migrate due to rural women’s higher likelihood of marrying and marrying up in cities when urbanization creates more economic opportunities and an abundance of high-income marriage-age men.

Search Models Of Money: Alternative Means-Of Payment And Consumer Behaviour With Credit, Kheng Tat Marcus Tan

Dissertations and Theses Collection (Open Access)

This dissertation consists of three chapters on Search Models of Money.

The first chapter is a review of recent advances in Search Models of Money. It reviews the Lagos and Wright (2005) framework which is the workhorse of many modern search models with applications to models with Competing Media of Exchange to Fiat Currency, and models with Money and Credit. We trace the history of the development of search models of money from the first generation to present day. We highlight recent developments that address puzzles such as the coexistence of money in an environment where an asset serves as …

Volatility Puzzle: Long Memory Or Anti-Persistency, Shuping Shi, Jun Yu

Research Collection School Of Economics

The log realized volatility (RV) is often modeled as an autoregressive fractionally integrated moving average model ARFIMA(1,d,01,d,0). Two conflicting empirical results have been found in the literature. One stream shows that log RV has a long memory (i.e., the fractional parameter d > 0). The other stream suggests that the autoregressive coefficient α is near unity with antipersistent errors (i.e., d α close to 0 and d close to 0.5) from Model 2Model 2 (ARFIMA(1,d,01,d,0) with α close to unity and d close to –0.5). An intuitive explanation is given. For the 10 financial assets considered, despite that no definitive conclusions …

The Livingston Survey 2023, S. Anderson, B. Bovino, M. Brown, Thomas Lam, Et Al

Sim Kee Boon Institute for Financial Economics

The 15 participants in the June Livingston Survey predict higher output growth for the first half of 2023 than they predicted in the December 2022 survey. The forecasters, who are surveyed by the Federal Reserve Bank of Philadelphia twice a year, now project that the economy’s output (real GDP) will grow at an annual rate of 1.1 percent during the first half of 2023. They expect weaker conditions in the second half of 2023, when growth is expected to be at an annual rate of -0.7 percent. Both projections represent upward revisions from those of the December 2022 survey. Growth …

Brothers, Sisters, And Support To Older Parents: Separate Spheres Across And Within Support Types?, Christine Ho, Kathleen Mcgarry

Research Collection School Of Economics

Parents in many countries exhibit a strong preference for sons over daughters; a preference that is often observed regarding transfers to children. Here, we ask whether son preference also drives differences in behavior regarding transfers from sons and daughters. We use data from the China Health and Retirement Longitudinal Study (CHARLS) to examine the patterns of giving to parents and find strong evidence of such differentiation. Coresidential support comes almost exclusively from sons as do large transfers, while daughters are more likely to make small transfers. Moreover, crowding-out of financial transfers by siblings occurs primarily within gender: sons give less …

Disagreement In Market Index Options, Guilherme Salome, George Tauchen, Jia Li

Research Collection School Of Economics

We generate new evidence on disagreement among traders in the S&P 500 options market from high-frequency intraday price and volume data. Inference on disagreement is based on a model where investors observe public information but agree to disagree on its interpretation; disagreement among investors is captured by the volume–volatility elasticity. For options, there are two natural variables related to disagreement: moneyness and tenor, which we relate to disagreement about the distribution of the market index at different quantiles and times. The estimated volume–volatility elasticity equals unity for options near the money and close to expiration, which is consistent with the …

An Empirical Research On The Financial Distress Risk In The Garden And Construction Industry, Jianlin Guan

Dissertations and Theses Collection (Open Access)

In recent years, the garden and construction industry has faced significant financial distressdue to the downward pressure on the macro economy. This financial distress not onlyposesrisks to the financial stability and management of enterprises but also has far-reachingimpactson society.

This paper utilizes various analytical methods such as case analysis, empirical analysis, andevent analysis to derive the following conclusions:(1)The participation of garden constructionindustry enterprises in public-private partnership (PPP) projects leads to increased financial distress.(2)The higher the debt ratio of the local government where listed gardenandconstruction enterprises are located, the greater the financial distress theyexperience.(3)Enterprises in the garden and construction industry, whose …

Survey Of Professional Forecasters 2023, Singapore Management University

Sim Kee Boon Institute for Financial Economics

Forecasters Maintain Their Expectations for Growth in 2023 The forecasters see the U.S. economy in 2023 expanding at the same pace as they predicted three months ago, according to 38 panelists surveyed by the Federal Reserve Bank of Philadelphia. The forecasters predict annual-average over annualaverage growth in real GDP of 1.3 percent in 2023, unrevised from their estimate of three months ago. The panelists are also maintaining their forecast for growth in the second quarter at an annual rate of 1.0 percent, unchanged compared with their previous projection. However, while their predictions for the second quarter and for 2023 remain …

Rethinking Asia-Pacific Regionalism And New Economic Agreements, Julien Chaisse, Pasha L. Hsieh

Research Collection Yong Pung How School Of Law

The neoliberal international order is facing a variety of pressing obstacles. One of the most contentious issues is the emergence of new Asian regionalism, which has been driven by the rising economic power of the region and integration based on the Association of Southeast Asian Nations (ASEAN) Plus Six framework. The legalization of the ASEAN way has propelled the New Regional Economic Order (NREO), which reinforces a trade-development nexus alternative to the Washington Consensus and will have far-reaching normative, economic, and geopolitical effects on the world. Given the proliferation of trade and investment initiatives including the ASEAN Economic Community and …

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

Research Collection School Of Economics

This paper evaluates the distributional impacts of transportation networks in China.We show that the quality of roads and railroads vary substantially over time and space, and ignoring these variations biases the estimates of travel time. 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 that allows for multiple modes and routes of transportation and forward-looking migration decision.We find aggregate welfare gain and less spatial income inequality led …

Inflation Dynamics And Expectations In Singapore, Hwee Kwan Chow-Tan

Research Collection School Of Economics

Inflation dynamics in Singapore have primarily been shaped by foreign factors, including global inflationary pressures and external macroeconomic shocks. More recently, the normalisation phase of the Covid-19 pandemic crisis has led to domestic price pressures from pent-up demand and supply-chain disruptions. Meanwhile, the war in Ukraine has resulted in a hike in the global prices of food, energy, and industrial commodities. Using inflation forecasts from the MAS Survey of Professional Forecasters as our measure of inflation expectations, we show that short-term inflation expectations have shifted up recently. Moreover, greater disagreement amongst survey respondents in the more recent surveys suggests individual …

Improved Marginal Likelihood Estimation Via Power Posteriors And Importance Sampling, Yong Li, Nianling Wang, Jun Yu

Research Collection School Of Economics

Power posteriors have become popular in estimating the marginal likelihood of a Bayesian model. A power posterior is referred to as the posterior distribution that is proportional to the likelihood raised to a power b∈[0,1]. Important power-posterior-based algorithms include thermodynamic integration (TI) of Friel and Pettitt (2008) and steppingstone sampling (SS) of Xie et al. (2011). In this paper, it is shown that the Bernstein–von Mises (BvM) theorem holds for power posteriors under regularity conditions. Due to the BvM theorem, power posteriors, when adjusted by the square root of the auxiliary constant, have the same limit distribution as the original …

Competing Auctions With Non-Identical Objects, Massimiliano Landi, Domenico Menicucci, Andrey Sarychev

Research Collection School Of Economics

We study a competition model with two sellers that auction non-identical objects, unlike most of the literature on competing auctions. Each bidder has bidimensional private information, his values for the objects, and chooses the auction in which he participates (if any) after each seller has set a reserve price for her auction. We show that in some cases the duopoly reserve price is greater than the reserve price for a monopolist auctioning a single object; thus, an increase in the number of sellers may make some bidder’s types worse off. In our analysis we first characterize the unique symmetric equilibrium …

Teaching In The Right Context: Textbook Supply Program, Language, And Vocabulary Ability In Vietnam, Tomoki Fujii, Maki Nakajima, Sijia Xu

Research Collection School Of Economics

An ethnic gap in education is prevalent around the world. This remains the case in Vietnam, a country that has achieved phenomenal economic growth and raised the educational attainment of the public. This paper examines the impact of language policy reorientation represented by the textbook supply program in Vietnam on the ethnic gap in children's learning measured by a vocabulary test. Applying difference-in-differences estimation to the Young Lives data between 2006 and 2015, we show that the program became more effective in narrowing the ethnic gap as the education policy became reoriented toward ethnic minority children. A causal mediation analysis …

Cbdc: Context, Challenges, And Conditions For A Successful Adoption, Charlie Nhuc Hiang Lay

Dissertations and Theses Collection (Open Access)

Central bank digital currencies (CBDC) are the digital version of physical notes and coins. They are the latest milestone in the evolution of money over the centuries due to technological advancements. This digitalisation of physical money primarily serves as a medium of exchange that has a central bank anchor. There are two versions of CBDC, wholesale and retail. This thesis focuses on retail CBDC, which targets the general public and small daily transactions. It discusses the issues and the plausible implementation of a retail CBDC. A CBDC will preserve monetary sovereignty, foster financial stability, and counter private network effects, i.e., …

Consumer Reaction To The Use Of Artificial Intelligence Chatbot On Distribution Of General Insurance In Singapore, Lai Hing Tan

Dissertations and Theses Collection (Open Access)

As technology rapidly permeates all aspects of our lives, it is not unusual to question and even challenge the rationale on why certain industries are slower to adapt to the new digital age. Insurance is a business that is under scrutiny given its traditional ways of selling and legacy challenges. Why is technology investment in insurance companies lagging others? One emerging technological disruption is artificial intelligence (AI). It is the science of designing and building intelligent systems that can complete tasks traditionally performed by humans. AI is expected to fundamentally transform today’s marketplace, for businesses and consumers alike. However, because …

Dissertation On The Impacts Of Floods And Trade War On The Chinese Economy, Fan Zheng

Dissertations and Theses Collection (Open Access)

In the first chapter of the dissertation, we study the impact of floods on microlevel firm performances in China for the period 2000-2009. Among the first in the literature, we identify the flood exposure directly at the firm level by combining the high-resolution satellite-observed inundation areas with the geocoded firm locations. We find that being hit by a flood is associated with an annual loss to output and productivity of around 6% and 5%, respectively, which persists in the long run. The impacts of floods extend to non-inundated firms in neighborhoods (of 4 kilometres in radius), but the negative effects …

Economic Forecasting In A Pandemic: Some Evidence From Singapore, Hwee Kwan Chow-Tan, Keen Meng Choy

Research Collection School Of Economics

This paper aims to investigate whether the predictive performance and behaviour of professional forecasters are different during the COVID-19 pandemic as compared with the global financial crisis of 2008 and normal times. To this end, we use a survey of professional forecasters in Singapore collated by the central bank to analyse the forecasting records for GDP growth and CPI inflation for the period 2000Q1–2021Q4. We first examine the point forecasts to document the extent of forecast failure duringthe two crises and explore various explanations for it, such as leader-following and herding behaviour. Then, using percentile-based summary measures of probability distribution …

On The Spectral Density Of Fractional Ornstein-Uhlenbeck Process: Approximation, Estimation, And Model Comparison, Shuping Shi, Jun Yu, Chen Zhang

Research Collection School Of Economics

This paper introduces a novel method for accurately approximating the spectral density of the discretely-sampled fractional Ornstein-Uhlenbeck (fOU) process. We utilize this approximated spec-tral density to develop an estimation method called the approximated Whittle maximum likelihood method (AWML) for fOU. Additionally, we develop a likelihood-ratio (LR) test using the approxi-mated spectral densities to distinguish between the fractional Brownian motion (fBm) and fOU pro-cesses, two popular models in the volatility literature. Simulation studies demonstrate that the AWML method improves the estimation speed and accuracy compared to existing ones and that the LR test is effective in distinguishing between the two processes …

Liquidity Constraints, Consumption, And Debt Repayment: Evidence From Macroprudential Policy In Turkey, Sumit Agarwal, Muris Hadzic, Changcheng Song, Yildirim Yildiray

Research Collection Lee Kong Chian School Of Business

Using account-level credit card data from a large Turkish bank, we study the impact of a unique credit card policy that increases minimum payment on consumption and debt repayment. We show that the policy reduces credit card spending and debt, boosts existing debt repayment, and reduces credit card delinquency. The credit card debt of affected consumers falls on average by 50% two years into the policy’s implementation. An increase in minimum payment has a stronger effect than does a decrease of a similar magnitude. We build a benchmark life cycle model with soft liquidity constraint to explain the reduction in …

Adjustment With Many Regressors Under Covariate-Adaptive Randomizations, Liang Jiang, Liyao Li, Ke Miao, Yichong Zhang

Research Collection School Of Economics

Our paper identifies a trade-off when using regression adjustments (RAs) in causal inference under covariate-adaptive randomizations (CARs). On one hand, RAs can improve the efficiency of causal estimators by incorporating information from covariates that are not used in the randomization. On the other hand, RAs can degrade estimation efficiency due to their estimation errors, which are not asymptotically negligible when the number of regressors is of the same order as the sample size. Failure to account for the cost of RAs can result in over-rejection of causal inference under the null hypothesis. To address this issue, we develop a unified …