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Articles 601 - 630 of 1733
Full-Text Articles in Economics
Volatility Spillovers And Linkages In Asian Stock Markets, Hwee Kwan Chow-Tan
Volatility Spillovers And Linkages In Asian Stock Markets, Hwee Kwan Chow-Tan
Research Collection School Of Economics
Diebold-Yilmaz spilloverindexes are computed for weekly return volatilities based on daily benchmarkstock indexes of US, UK and ten Asian countries. We found (i) the strengthening ofoverall volatility spillovers is not a temporary surge but persisted after thecrisis; (ii) the susceptibility ofindividual Asian stock markets to inward volatility transfers is linked to itsdegree of openness; and (iii) the Asian bourses are becoming more importantemitters of financial shocks since the crisis. Rolling regressions on volatilitylinkages reveal the relative dominance of the US over the Japanese and Chinesebourses, and the level of influence on Asian stock markets from the Chinesebourse has risen to …
Random Coefficient Continuous Systems: Testing For Extreme Sample Path Behaviour, Yubo Tao, Peter C. B. Phillips, Jun Yu
Random Coefficient Continuous Systems: Testing For Extreme Sample Path Behaviour, Yubo Tao, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
This paper studies a continuous time dynamic system with a random persistence parameter. The exact discrete time representation is obtained and related to several discrete time random coefficient models currently in the literature. The model distinguishes various forms of unstable and explosive behaviour according to specific regions of the parameter space that open up the potential for testing these forms of extreme behaviour. A two-stage approach that employs realized volatility is proposed for the continuous system estimation, asymptotic theory is developed, and test statistics to identify the different forms of extreme sample path behaviour are proposed. Simulations show that the …
The Weekend Effect In Television Viewership And Prime-Time Scheduling, Jung Won Yeo
The Weekend Effect In Television Viewership And Prime-Time Scheduling, Jung Won Yeo
Research Collection School Of Economics
The observed drops in the ratings of television programs on Fridays and Saturdays are likely a result of two factors: intrinsic contraction in demand for television watching and endogenous scheduling. I decompose the observed weekend effect into the effects from these two factors. To this end, I estimate a viewer choice model that uses aggregate Nielsen ratings data for prime-time network television shows over 11 years. The long span of the data enables me to control for television series qualities. The estimation results reveal that the estimated weekend effect is dampened as the empirical model accounts for variation in the …
Random Mechanism Design On Multidimensional Domains, Shurojit Chatterji, Huaxia Zeng
Random Mechanism Design On Multidimensional Domains, Shurojit Chatterji, Huaxia Zeng
Research Collection School Of Economics
We study random mechanism design in an environment where the set of alternatives has a Cartesian product structure. We first show that all generalized random dictatorships are strategy-proof on a minimally rich domain if and only if the domain is a top-separable domain. We next generalize the notion of connectedness (Monjardet, 2009) to establish a particular class of top-separable domains: connected domains, and show that in the class of minimally rich and connected domains, the multidimensional single-peakedness restriction is necessary and sufficient for the design of a flexible random social choice function that is unanimous and strategy-proof. Such a flexible …
The Long-Term Health Effects Of Fetal Malnutrition: Evidence From The 1959-1961 China Great Leap Forward Famine, Seonghoon Kim, Belton Fleisher, Jessica Ya Sun
The Long-Term Health Effects Of Fetal Malnutrition: Evidence From The 1959-1961 China Great Leap Forward Famine, Seonghoon Kim, Belton Fleisher, Jessica Ya Sun
Research Collection School Of Economics
We report evidence of long-term adverse health impacts of fetal malnutrition exposure of middle-aged survivors of the 1959-1961 China Famine using data from the China Health and Retirement Longitudinal Study. We find that fetal exposure to malnutrition has large and long-lasting impacts on both physical health and cognitive abilities, including the risks of suffering a stroke, physical disabilities in speech, walking and vision, and measures of mental acuity even half a century after the tragic event. Our findings imply that policies and programs that improve the nutritional status of pregnant women yield benefits on the health of a fetus that …
Strong Consistency Of Spectral Clustering For Stochastic Block Models, Liangjun Su, Wuyi Wang, Yichong Zhang
Strong Consistency Of Spectral Clustering For Stochastic Block Models, Liangjun Su, Wuyi Wang, Yichong Zhang
Research Collection School Of Economics
In this paper we prove the strong consistency of several methods based on thespectral clustering techniques that are widely used to study the communitydetection problem in stochastic block models (SBMs). We show that under someweak conditions on the minimal degree, the number of communities, and theeigenvalues of the probability block matrix, the K-means algorithm applied tothe Eigenvectors of the graph Laplacian associated with its first few largesteigenvalues can classify all individuals into the true community uniformlycorrectly almost surely. Extensions to both regularized spectral clustering anddegree-corrected SBMs are also considered. We illustrate the performance ofdifferent methods on simulated networks.
Specification Test For Spatial Autoregressive Models, Liangjun Su, Xi Qu
Specification Test For Spatial Autoregressive Models, Liangjun Su, Xi Qu
Research Collection School Of Economics
This article considers a simple test for the correct specification of linear spatial autoregressive models, assuming that the choice of the weight matrix Wn is true. We derive the limiting distributions of the test under the null hypothesis of correct specification and a sequence of local alternatives. We show that the test is free of nuisance parameters asymptotically under the null and prove the consistency of our test. To improve the finite sample performance of our test, we also propose a residual-based wild bootstrap and justify its asymptotic validity. We conduct a small set of Monte Carlo simulations to investigate …
Sources Of Health Financing And Health Outcomes: A Panel Data Analysis, Tomoki Fujii
Sources Of Health Financing And Health Outcomes: A Panel Data Analysis, Tomoki Fujii
Research Collection School Of Economics
We study the differential impacts of public and private sources of health spending on health outcomes using a triple difference approach. We find that private health spending has on average a higher health-promoting effect than public health spending. This result is robust with respect to the choice of outcome measure and covariates in the regression and driven primarily by the countries with ineffective governments. Once we restrict our sample to countries with effective governments, private health spending is no better than public health spending for improving the health outcome.
Bubble Testing Under Deterministic Trends, Xiaohu Wang, Jun Yu
Bubble Testing Under Deterministic Trends, Xiaohu Wang, Jun Yu
Research Collection School Of Economics
This paper develops the asymptotic theory of the ordinary least squares estimator of the autoregressive (AR) coefficient in various AR models, when data is generated from trend-stationary models in different forms. It is shown that, depending on how the autoregression is specified, the commonly used right-tailed unit root tests may tend to reject the null hypothesis of unit root in favor of the explosive alternative. A new procedure to implement the right-tailed unit root tests is proposed. It is shown that when the data generating process is trend-stationary, the test statistics based on the proposed procedure cannot find evidence of …
Non-Separable Models With High-Dimensional Data, Liangjun Su, Takuya Ura, Yichong Zhang
Non-Separable Models With High-Dimensional Data, Liangjun Su, Takuya Ura, Yichong Zhang
Research Collection School Of Economics
This paper studies non-separable models with a continuous treatment when the dimension of the control variables is high and potentially larger than the effective sample size. We propose a three-step estimation procedure to estimate the average, quantile, and marginal treatment effects. In the first stage we estimate the conditional mean, distribution, and density objects by penalized local least squares, penalized local maximum likelihood estimation, and penalized conditional density estimation, respectively, where control variables are selected via a localized method of L1-penalization at each value of the continuous treatment. In the second stage we estimate the average and the marginal distribution …
Preferences With Changing Ambiguity Aversion, Jingyi Xue
Preferences With Changing Ambiguity Aversion, Jingyi Xue
Research Collection School Of Economics
This paper provides two equivalent representations for thegeneral class of uncertainty averse preferences studied by Cerreia-Vioglio,Maccheroni, Marinacci and Montrucchio (2011). The two representations employrespectively two important extensions of Gilboa and Schmeidler (1989)’s maxmindecision rule. The first is a weighted maxmin representation with anon-constant weight used in mixing the minimum and maximum expected utilities.The second is a variant constraint representation which evaluates a prospect bythe worst expected utility over a neighborhood of approximating priors wherethe size of the neighborhood depends on the prospect. The equivalent representationshave advantage in several respects. In the second part of this paper, we studythe wealth effect …
Fair Division With Uncertain Needs, Jingyi Xue
Fair Division With Uncertain Needs, Jingyi Xue
Research Collection School Of Economics
Imagine that agents have uncertain needs and a resource must be divided before uncertainty resolves. In this situation, waste typically occurs when the assignment to an agent turns out to exceed his realized need. How should the resource be divided in the face of possible waste? This is a question out of the scope of the existing rationing literature. Our main axiom to address the issue is no domination. It requires that no agent receive more of the resource than another while producing a larger expected waste, unless the other agent has been fully compensated. Together with conditional strict endowment …
Adaptive Estimation Of Continuous-Time Regression Models Using High-Frequency Data, Jia Li, Viktor Todorov, George Tauchen
Adaptive Estimation Of Continuous-Time Regression Models Using High-Frequency Data, Jia Li, Viktor Todorov, George Tauchen
Research Collection School Of Economics
We derive the asymptotic efficiency bound for regular estimates of the slope coefficient in a linear continuous-time regression model for the continuous martingale parts of two Itô semimartingales observed on a fixed time interval with asymptotically shrinking mesh of the observation grid. We further construct an estimator from high-frequency data that achieves this efficiency bound and, indeed, is adaptive to the presence of infinite-dimensional nuisance components. The estimator is formed by taking optimal weighted average of local nonparametric volatility estimates that are constructed over blocks of high-frequency observations. The asymptotic efficiency bound is derived under a Markov assumption for the …
Domestic Liquidity Conditions And Monetary Policy In Singapore, Hwee Kwan Chow-Tan
Domestic Liquidity Conditions And Monetary Policy In Singapore, Hwee Kwan Chow-Tan
Research Collection School Of Economics
Singapore has an unusual exchange rate-centered monetary policy framework that has served the economy well over the past decades. Monetary policy operations are carried out by the central bank through the management of the Singapore dollar against a currency basket. As is well recognized, such foreign exchange interventions do have an impact on domestic liquidity conditions. However, in the case of Singapore, this tends to be counteracted by the liquidity impact of public sector operations related to the fiscal position and the national pension scheme. The central bank takes into account the net liquidity impact these and other autonomous money …
Structural Inference From Reduced Forms With Many Instruments, Peter C. B. Phillips, Wayne Yuan Gao
Structural Inference From Reduced Forms With Many Instruments, Peter C. B. Phillips, Wayne Yuan Gao
Research Collection School Of Economics
This paper develops exact finite sample and asymptotic distributions for structural equation tests based on partially restricted reduced form estimates. Particular attention is given to models with large numbers of instruments, wherein the use of partially restricted reduced form estimates is shown to be especially advantageous in statistical testing even in cases of uniformly weak instruments. Comparisons are made with methods based on unrestricted reduced forms, and numerical computations showing finite sample performance of the tests are reported. Some new results are obtained on inequalities between noncentral chi-squared distributions with different degrees of freedom that assist in analytic power comparisons.
Favorite-Longshot Bias In Pari-Mutuel Betting: An Evolutionary Explanation, Atsushi Kajii, Takahiro Watanabe
Favorite-Longshot Bias In Pari-Mutuel Betting: An Evolutionary Explanation, Atsushi Kajii, Takahiro Watanabe
Research Collection School Of Economics
Favorite-longshot bias (FLB) refers to an observed tendency whereby “longshots” are overvalued and favorites are undervalued. We offer an evolutionary explanation for FLB in pari-mutuel betting using a simple market model. A bettor is forced to quit with some probability if his total net gain in one day is negative. Because of a positive track take, the expected returns of any strategy are negative, and so every agent must eventually lose and disappear in the long run. Those who favor longshots have a better chance of getting ahead with rare but large gains, enabling them to survive for longer than …
On The Relationship Between Household Wealth And Entrepreneurship, Jungho Lee
On The Relationship Between Household Wealth And Entrepreneurship, Jungho Lee
Research Collection School Of Economics
Motivated by a substantial number of startup owners with negative household net worth, I present a model that incorporates credit borrowing into Evans and Jovanovic [1989]. The estimated model generates no relationship between household wealth and the propensity for business entry. Ignoring credit borrowing for potential business owners substantially overstates the efficiency loss from financial constraints in business entry. However, the efficiency loss in investments by the entrants is large even if credit borrowing is allowed. Individuals who start a business once credit borrowing is available are those whose business ideas are of a high-enough quality to compensate high financing …
Every Random Choice Rule Is Backwards-Induction Rationalizable, Jiangtao Li, Rui Tang
Every Random Choice Rule Is Backwards-Induction Rationalizable, Jiangtao Li, Rui Tang
Research Collection School Of Economics
Motivated by the literature on random choice and in particular the random utility models, we extend the analysis in Bossert and Sprumont (2013) to include the possibility that players exhibit stochastic preferences over alternatives. We prove that every random choice rule is backwards-induction rationalizable.
Growing Through The Merger And Acquisition, Jianhuan Xu
Growing Through The Merger And Acquisition, Jianhuan Xu
Research Collection School Of Economics
The paper studies with an endogenous growth model how the merger and acquisition (M&A) affects the aggregate growth rate. We model the M&A as a capital reallocation process, which can increase both productivity and growth rates of firms. The model is tractable and greatly consistent with patterns observed in the M&A at the micro level. Matching our model to the data, we find that prohibiting the M&A would lead to the reduction of the aggregate growth rate of US economy by 0.1% and the reduction of the aggregate TFP by 5%.
Analysis Of Spatial Data With A Nested Correlation Structure: An Estimating Equations Approach., Oyelola A. Adegboye, Denis H. Y. Leung, You-Gan Wang
Analysis Of Spatial Data With A Nested Correlation Structure: An Estimating Equations Approach., Oyelola A. Adegboye, Denis H. Y. Leung, You-Gan Wang
Research Collection School Of Economics
Spatial statistical analyses are often used to study the link between environmental factors and the incidence of diseases. In modelling spatial data, the existence of spatial correlation between observations must be considered. However, in many situations, the exact form of the spatial correlation is unknown. This paper studies environmental factors that might influence the incidence of malaria in Afghanistan. We assume that spatial correlation may be induced by multiple latent sources. Our method is based on a generalized estimating equation of the marginal mean of disease incidence, as a function of the geographical factors and the spatial correlation. Instead of …
Fertility And Rural Electrification In Bangladesh, Tomoki Fujii, Abu S. Shonchoy
Fertility And Rural Electrification In Bangladesh, Tomoki Fujii, Abu S. Shonchoy
Research Collection School Of Economics
We use a household-level panel dataset from Bangladesh to examine the household-level relationship between fertility and the access to electricity. We find that the household's access to electricity reduces the change in the number of children by about 0.1 to 0.25 children in a period of five years in most estimates. This finding also applies to retrospective panel data and is robust to the choice of covariates and estimation methods. Our finding passes falsification test and corroborates with the predictions of our theoretical model on the households' time use and consumption pattern.
Growing Through The Merger And Acquisition, Jianhuan Xu
Growing Through The Merger And Acquisition, Jianhuan Xu
Research Collection School Of Economics
The paper studies with an endogenous growth model how the merger and acquisition (M&A) affects the aggregate growth rate. We model the M&A as a capital reallocation process, which can increase both productivity and growth rates of firms. The model is tractable and greatly consistent with patterns observed in the M&A at the micro level. Matching our model to the data, we find that prohibiting the M&A would lead to the reduction of the aggregate growth rate of US economy by 0.1% and the reduction of the aggregate TFP by 5%.
Indirect Inference In Spatial Autoregression, Maria Kyriacou, Peter C. B. Phillips, Francesca Rossi
Indirect Inference In Spatial Autoregression, Maria Kyriacou, Peter C. B. Phillips, Francesca Rossi
Research Collection School Of Economics
Ordinary least-squares (OLS) is well known to produce an inconsistent estimator of the spatial parameter in pure spatial autoregression (SAR). In this paper, we explore the potential of indirect inference to correct the inconsistency of OLS. Under broad conditions, it is shown that indirect inference (II) based on OLS produces consistent and asymptotically normal estimates in pure SAR regression. The II estimator used here is robust to departures from normal disturbances and is computationally straightforward compared with quasi-maximum likelihood (QML). Monte Carlo experiments based on various specifications of the weight matrix show that: (a) the II estimator displays little bias …
Indirect Inference In Spatial Autoregression, Maria Kyriacou, Peter C. B. Phillips, Francesca Rossi
Indirect Inference In Spatial Autoregression, Maria Kyriacou, Peter C. B. Phillips, Francesca Rossi
Research Collection School Of Economics
Ordinary least-squares (OLS) is well known to produce an inconsistent estimator of the spatial parameter in pure spatial autoregression (SAR). In this paper, we explore the potential of indirect inference to correct the inconsistency of OLS. Under broad conditions, it is shown that indirect inference (II) based on OLS produces consistent and asymptotically normal estimates in pure SAR regression. The II estimator used here is robust to departures from normal disturbances and is computationally straightforward compared with quasi-maximum likelihood (QML). Monte Carlo experiments based on various specifications of the weight matrix show that: (a) the II estimator displays little bias …
On Time-Varying Factor Models: Estimation And Testing, Liangjun Su, Xia Wang
On Time-Varying Factor Models: Estimation And Testing, Liangjun Su, Xia Wang
Research Collection School Of Economics
Conventional factor models assume that factor loadings are fixed over a long horizon of time, which appears overly restrictive and unrealistic in applications. In this paper, we introduce a time-varying factor model where factor loadings are allowed to change smoothly over time. We propose a local version of the principal component method to estimate the latent factors and time-varying factor loadings simultaneously. We establish the limiting distributions of the estimated factors and factor loadings in the standard large N and large T framework. We also propose a BIC-type information criterion to determine the number of factors, which can be used …
A Specification Test Based On The Mcmc Output, Yong Li, Jun Yu, Tao Zeng
A Specification Test Based On The Mcmc Output, Yong Li, Jun Yu, Tao Zeng
Research Collection School Of Economics
A test statistic is proposed to assess themodel specification after the model is estimated by Bayesian MCMC methods. Thenew test is motivated from the power enhancement technique of Fan, Liao and Yao(2015). It combines a component (J1) that tests anull point hypothesis in an expanded model and a power enhancement component (J0) obtained from the null model. It is shown that J0 converges to zero when the null model is correctly specified anddiverges when the null model is misspecified. Also shown is that J1 is asymptotically X2-distributed, suggesting that theproposed test is asymptotically pivotal, when the null model is correctlyspecified. …
In-Fill Asymptotic Theory For Structural Break Point In Autoregression: A Unified Theory, Liang Jiang, Xiaohu Wang, Jun Yu
In-Fill Asymptotic Theory For Structural Break Point In Autoregression: A Unified Theory, Liang Jiang, Xiaohu Wang, Jun Yu
Research Collection School Of Economics
This paper obtains the exact distribution of the maximum likelihood estimatorof structural break point in the OrnsteinñUhlenbeck process when a continuousrecord is available. The exact distribution is asymmetric, tri-modal, dependenton the initial condition. These three properties are also found in the önite sampledistribution of the least squares (LS) estimator of structural break point inautoregressive (AR) models. Motivated by these observations, the paper then developsan in-öll asymptotic theory for the LS estimator of structural break point inthe AR(1) coe¢ cient. The in-öll asymptotic distribution is also asymmetric, trimodal,dependent on the initial condition, and delivers excellent approximationsto the önite sample distribution. Unlike …
A Martingale Difference-Divergence-Based Test For Specification, Liangjun Su, Xin Zheng
A Martingale Difference-Divergence-Based Test For Specification, Liangjun Su, Xin Zheng
Research Collection School Of Economics
In this paper we propose a novel consistent model specification test based on the martingale difference divergence (MDD) of the error term given the covariates. The MDD equals zero if and only if error term is conditionally mean independent of the covariates. Our MDD test does not require any nonparametric estimation under the alternative and it is applicable even if we have many covariates in the regression model. We establish the asymptotic distributions of our test statistic under the null and a sequence of Pitman local alternatives converging to the null at the usual parametric rate. Simulations suggest that our …
Improved Likelihood Inferences For Weibull Regression Model, Yan Shen, Zhenlin Yang
Improved Likelihood Inferences For Weibull Regression Model, Yan Shen, Zhenlin Yang
Research Collection School Of Economics
A general procedure is developed for bias-correcting the maximum likelihood estimators (MLEs) of the parameters of Weibull regression model with either complete or right-censored data. Following the bias correction, variance corrections and hence improved t-ratios for model parameters are presented. Potentially improved t-ratios for other reliability-related quantities are also discussed. Simulation results show that the proposed method is effective in correcting the bias of the MLEs, and the resulted t-ratios generally improve over the regular t-ratios.
Monetary Policy And Energy Price Shocks, Bao Tan Huynh
Monetary Policy And Energy Price Shocks, Bao Tan Huynh
Research Collection School Of Economics
A New Keynesian framework with endogenous energy production is proposed to investigate the role of monetary policy in addressing disturbances in energy markets. The novelty of the model lies in the endogenous production of energy with convex costs, explicit modeling of goods with different degrees of energy-dependency and sectoral price rigidities. Our analyses prescribe the desirable monetary responses to four types of energy price shocks, highlighting the distinct characteristics of each shock and affirming the need for diverse policy considerations. We also found several points of divergence in relation to previous studies on addressing energy supply shocks. In addition, we …