Economics Commons^™

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 …

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., …

Efficient Estimation Of Generalized Nonparametric Model Under Additive Structure, Ying Xia

Dissertations and Theses Collection (Open Access)

In this thesis, we develop novel nonparametric estimation techniques for two distinct classes of models: (1) Generalized Additive Models with Unknown Link Functions (GAMULF) and (2) Generalized Panel Data Transformation Models with Fixed Effects. Both models avoid parametric assumptions on their respective link or transformation functions, as well as the distribution of the idiosyncratic error terms.

The first chapter aims to provide an in-depth and systematic introduction to cross- sectional and panel-data nonparametric transformation models, encompassing practical applications, a diverse range of estimation techniques, and the study of asymptotic properties. We discuss the advantages and limitations of these models and …

Essays On Large Panel Data Models With Two-Way Heterogeneity, Yiren Wang

Dissertations and Theses Collection (Open Access)

This dissertation consists of two papers that contribute to the estimation and inference theory of the panel data models with two-way slope heterogeneity. The first paper considers the panel quantile regression model with slope heterogeneity along both individuals and time. By modelling this two-way heterogeneity with the low-rank slope matrix, the slope coefficient can be estimated via the nuclear norm regularization followed by sample-splitting, row- and column-wise quantile regression, and debiasing. The inferential theory for the final slope estimator along with its factor and factor loading is derived. Two specification tests are proposed: one tests whether the slope coefficient is …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Growth And Risk: A View From International Trade, Pravin Krishna, Andrei A. Levchenko, Lin Ma, William F. Maloney

Research Collection School Of Economics

This paper studies the cross-country patterns of risky innovation and growth through the lens of international trade. We use a simple theoretical framework of risky quality upgrading by firms under varying levels of financial development to derive two predictions. First, the mean rate of quality growth and the corresponding cross-sectional variance of quality growth in a country are positively correlated. Second, both the mean and variance of quality changes are positively correlated with the country's level of financial development. We then test these two hypotheses using data on disaggregated (HS10) bilateral exports to the United States. The patterns in the …

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 …

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 …

Uniform Nonparametric Inference For Time Series Using Stata, Jia Li, Zhipeng Liao, Mengsi Gao

Research Collection School Of Economics

In this article, we introduce a command, tssreg, that conducts nonparametric series estimation and uniform inference for time-series data, including the case with independent data as a special case. This command can be used to nonparametrically estimate the conditional expectation function and the uniform confidence band at a user-specified confidence level, based on an econometric theory that accommodates general time-series dependence. The uniform inference tool can also be used to perform nonparametric specification tests for conditional moment restrictions commonly seen in dynamic equilibrium models.

Asymptotic Properties Of Least Squares Estimator In Local To Unity Processes With Fractional Gaussian Noises, Xiaohu Wang, Weilin Xiao, Jun Yu

Research Collection School Of Economics

This paper derives asymptotic properties of the least squares estimator of the autoregressive parameter in local to unity processes with errors being fractional Gaussian noises with the Hurst parameter H 2 (0; 1). It is shown that the estimator is consistent for all values of H 2 (0; 1). Moreover, the rate of convergence is n 1 when H 2 [0:5; 1). The rate of convergence is n 2H when H 2 (0; 0:5). Furthermore, the limiting distribution of the centered least squares estimator depends on H. When H = 0:5, the limiting distribution is the same as that obtained …

Estimation And Inference With Near Unit Roots, Peter C. B. Phillips

Research Collection School Of Economics

New methods are developed for identifying, estimating, and performing inference with nonstationary time series that have autoregressive roots near unity. The approach subsumes unit-root (UR), local unit-root (LUR), mildly integrated (MI), and mildly explosive (ME) specifications in the new model formulation. It is shown how a new parameterization involving a localizing rate sequence that characterizes departures from unity can be consistently estimated in all cases. Simple pivotal limit distributions that enable valid inference about the form and degree of nonstationarity apply for MI and ME specifications and new limit theory holds in UR and LUR cases. Normalizing and variance stabilizing …

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 …

Continuous Implementation With Payoff Knowledge, Yi-Chun Chen, Takashi Kunimoto, Yifei Sun

Research Collection School Of Economics

The literature on robust mechanism design assumes players' knowledge about a fixed payoff environment and investigates global robustness of optimal mechanisms to large changes in the information structure. Acknowledging global robustness as a demanding requirement, we propose continuous implementation as a notion of local robustness. Keeping the assumption of payoff knowledge, we say that an SCF is continuously implementable if there exists a mechanism which yields the outcome close to the desired one for all types close to the planner's initial model. We show that when a generic correlation condition is imposed on the class of interdependent-value environments, any (interim) …

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 …

Economic Forecasting In Singapore: The Covid-19 Experience, Hwee Kwan Chow-Tan, Keen Meng Choy

Research Collection School Of Economics

This Special Feature considers how accurately professional forecasters have predicted GDP growth and inflation in Singapore, especially during rare events such as the Global Financial Crisis (GFC) and COVID-19. It also illustrates the value of forecast probability distributions in inferring forecasters’ uncertainty when making predictions, and the degree of consensus between projections from different forecasters. The authors find that one-year ahead forecast errors for GDP growth and inflation increased during the GFC and the COVID-19 pandemic. While professional forecasters did not appear to have followed the Government’s forecasts when predicting growth during the GFC, they may have exhibited ”leader-following” behaviour …

Local Dominance, Emiliano Catonini, Jingyi Xue

Research Collection School Of Economics

We define notions of dominance between two actions in a dynamic game. Local dominance considers players who have a blurred view of the future and compare the two actions by first focusing on the outcomes that may realize at the current stage. When considering the possibility that the game may continue, they can only check that the local comparison is not overturned under the assumption of "continuing in the same way" after the two actions (in a newly defined sense). Despite the lack of forward planning, local dominance solves dynamic mechanisms that were found easy to play and implements social …

Migration And Spatial 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 equi-librium model with input and output distortions and migration, we show that the firm-level frictions are less dispersed and less correlated with productivity in richer prefectures. Counterfactual exercises show that reducing the within-prefecture mis-allocation increases the aggregate welfare, discourages migration towards large cities, and narrows the spatial inequality. Moreover, internal migration alleviates the impacts of micro-frictions on aggregate welfare and worsens their impacts on spatial inequality.

The Importance Of Considering Debt And Young Children In Activation: A Survival Analysis Of Return To Welfare, Irene N. Y. Ng, Jian Qi Tan, Mathews Mathew, Kong Weng Ho, Yi Ting Ting

Research Collection School Of Economics

While there has been much research on welfare exit and entry into employment, less research has looked at return to government assistance. Applying survival analysis on data from a national government assistance programme in Singapore, we found two important factors of welfare return to which activation programmes need to pay greater attention. First, return was more likely if former beneficiaries accumulated a higher number of types of arrears rather than higher dollar values of arrears. This new finding contributes to the emerging literature on bandwidth tax, and suggests the importance of designing programmes that relieve mental accounting due to debt …

Concerns Over The Cost Of Living Among Older Adults In Singapore, Rachel Ngu, Micah Tan, Paulin T. Straughan, Seonghoon Kim, William Tov, Grace Cheong, Xiaoyan Zhang

ROSA Research Briefs

A post-National Day Rally survey conducted in August 2022 found that the rising cost of living and health-related issues were ranked among the top concerns of Singaporeans (Baharudin, 2022). This comes as no surprise as global crises such as the ongoing COVID-19 pandemic and the Russo-Ukrainian conflict, has resulted in global and domestic inflation (Gov.sg, 2022). In May 2022, Singapore reported a 13-year high core inflation of 3.6% (Channel News Asia, 2022), while in September 2022, Singapore’s core inflation had risen to 5.3% (Ang, 2022). Additionally, the government announced that Singapore residents will see a goods and services tax (GST) …

Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle

Sim Kee Boon Institute for Financial Economics

The introduction of derivatives on Bitcoin enables investors to hedge risk exposures in cryptocurrencies. Because of volatility swings and jumps in cryptocurrency prices, the traditional variance-based approach to obtain hedge ratios may not be suitable for hedgers. In this work, we consider two extensions of the traditional approach: first, different dependence structures are modelled by different copulae, such as the Gaussian, Student-t, Normal Inverse Gaussian and Archimedean copulae; second, different risk measures, such as value-at-risk, expected shortfall and spectral risk measures are employed to find the optimal hedge ratio. Extensive out-of-sample tests using the data from the time …

Real Estate Assets: To Build Or Not To Build?, Chaik Ming Koh

Asian Management Insights

It’s about when, not whether.

Robowealth: Boosting Financial Inclusion In Thailand, Chiraphol N. Chiyachantana, David K. Ding, Pattarawan Mai Prasarnphanich, Chi Wei Chan

Asian Management Insights

Advanced fintech lowers barriers to investing.

Exchange-Traded Funds And Real Investment, Constantinos Antoniou, Frank Weikai Li, Xuewen Liu, Avanidhar Subrahmanyam, Chengzhu Sun

Research Collection Lee Kong Chian School Of Business

We investigate the link between exchange-traded funds and real investment. Cross-sectionally, higher ETF ownership is associated with an increased sensitivity of real investment to Tobin's q and a heightened ability of stock returns to forecast future earnings. Inclusion of stocks in industry ETFs enhances investment-q sensitivity and implies greater incorporation of earnings information into prices prior to public releases. Greater nonmarket ETF ownership leads to increased (reduced) reliance of real investment on own (peers') stock prices. Overall, the evidence is consistent with ETFs positively affecting real investment efficiency via greater flows of information.