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Articles 1801 - 1830 of 2838
Full-Text Articles in Economics
Selective Recognition: How To Recognize Donors To Increase Charitable Giving, Anya Samek, Roman Sheremeta
Selective Recognition: How To Recognize Donors To Increase Charitable Giving, Anya Samek, Roman Sheremeta
ESI Working Papers
Recognizing donors by revealing their identities is important for increasing charitable giving. We conducted a field experiment to examine how different recognition methods impact giving, and found that all forms of recognition that we examined had a positive impact on increasing donations, whereby recognizing only highest donors (positive recognition) and recognizing only lowest donors (negative recognition) had the most pronounced effect. We argue that selective recognition (both positive and negative) creates tournament-like incentives. Recognizing the highest donors activates the desire to seek a positive prize of prestige, thus increasing the proportion of donors who contribute large amounts. Recognizing the lowest …
Limit Theory For An Explosive Autoregressive Process, Xiaohu Wang, Jun Yu
Limit Theory For An Explosive Autoregressive Process, Xiaohu Wang, Jun Yu
Research Collection School Of Economics
Large sample properties are studied for a first-order autoregression (AR(1)) with a root greater than unity. It is shown that, contrary to the AR coefficient, the least-squares (LS) estimator of the intercept and its t-statistic are asymptotically normal without requiring the Gaussian error distribution, and hence an invariance principle applies. The coefficient based test and the t test have better power for testing the hypothesis of zero intercept in the explosive process than in the stationary process.
Specification Testing For Transformation Models With An Application To Generalized Accelerated Failure-Time Models, Arthur Lewbel, Xun Lu, Liangjun Su
Specification Testing For Transformation Models With An Application To Generalized Accelerated Failure-Time Models, Arthur Lewbel, Xun Lu, Liangjun Su
Research Collection School Of Economics
This paper provides a nonparametric test of the specification of a transformation model. Specifically, we test whether an observable outcome Y is monotonic in the sum of a function of observable covariates X plus an unobservable error U. Transformation models of this form are commonly assumed in economics, including, e.g., standard specifications of duration models and hedonic pricing models. Our test statistic is asymptotically normal under local alternatives and consistent against nonparametric alternatives violating the implied restriction. Monte Carlo experiments show that our test performs well in finite samples. We apply our results to test for specifications of generalized accelerated …
Would You Choose To Be Happy? Tradeoffs Between Happiness And The Other Dimensions Of Life In A Large Population Survey, Matthew D. Adler, Paula Dolan, Georgios Kavetsos
Would You Choose To Be Happy? Tradeoffs Between Happiness And The Other Dimensions Of Life In A Large Population Survey, Matthew D. Adler, Paula Dolan, Georgios Kavetsos
Faculty Scholarship
A large literature documents the correlates and causes of subjective well-being, or happiness. But few studies have investigated whether people choose happiness. Is happiness all that people want from life, or are they willing to sacrifice it for other attributes, such as income and health? Tackling this question has largely been the preserve of philosophers. In this article, we find out just how much happiness matters to ordinary citizens. Our sample consists of nearly 13,000 members of the UK and US general populations. We ask them to choose between, and make judgments over, lives that are high (or low) in …
Nonparametric Threshold Regression: Estimation And Inference, Daniel J. Henderson, Christopher F. Parmeter, Liangjun Su
Nonparametric Threshold Regression: Estimation And Inference, Daniel J. Henderson, Christopher F. Parmeter, Liangjun Su
Research Collection School Of Economics
The present work describes a simple approach to estimating the location of a threshold/changepoint in a nonparametric regression. This model has connections both to the time-series and regressiondiscontinuity literatures. The estimator leverages a simple decomposition, giving it the form of asemiparametric smooth coefficient model. Optimal bandwidth selection and a suite of testing facilitiesare also presented. Several empirical examples are provided to illustrate the implementation of themethods discussed here.
Testing Linearity Using Power Transforms Of Regressors, Yae In Baek, Jin Seo Cho, Peter C. B. Phillips
Testing Linearity Using Power Transforms Of Regressors, Yae In Baek, Jin Seo Cho, Peter C. B. Phillips
Research Collection School Of Economics
We develop a method of testing linearity using power transforms of regressors, allowing for stationary processes and time trends. The linear model is a simplifying hypothesis that derives from the power transform model in three different ways, each producing its own identification problem. We call this modeling difficulty the trifold identification problem and show that it may be overcome using a test based on the quasi-likelihood ratio (QLR) statistic. More specifically, the QLR statistic may be approximated under each identification problem and the separate null approximations may be combined to produce a composite approximation that embodies the linear model hypothesis. …
Infant Mortality: Cross Section Study Of The United State, With Emphasis On Education, Daniel C. Sheets-Poling
Infant Mortality: Cross Section Study Of The United State, With Emphasis On Education, Daniel C. Sheets-Poling
Student Research – Stevenson Center
On the surface infant mortality is usually thought of as just a unfortunate part of life in what can happen to an individual family, but infant mortality is part of the factors that affect social capital, which can lead back to overall trust in a community. When that trust starts to wither within a community, economic activity will be affected as community members will not behave as they usually do within their given economic boundaries. While social capital is not solely affected by infant mortality, it does show what type of health status an area has. As a community, state, …
Rhode Island Current Conditions Index -- December 2014, Leonard Lardaro
Rhode Island Current Conditions Index -- December 2014, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Sources Of Productivity Spillovers: Panel Data Evidence From China, Badi H. Baltagi, Peter H. Egger, Michaela Kesina
Sources Of Productivity Spillovers: Panel Data Evidence From China, Badi H. Baltagi, Peter H. Egger, Michaela Kesina
Center for Policy Research
This paper assesses sources of productivity spillovers in China's electric and electronic manufacturing industry using a rich panel data-set of 25,360 firms observed over the period 2004-2007. This industry is characterized by its important reliance on technology. In particular, the paper focuses on the role of other firms' productivity as well as productivity shifters in affecting own firm-level total factor productivity. In addition, this paper examines the possible difference between spillovers from foreign-owned units and from units which participate at global markets through exporting in comparison to domestically-owned and non-exporting units. We find evidence of stronger spillovers from exporting firms …
Firm-Level Productivity Spillovers In China’S Chemical Industry: A Spatial Hausman-Taylor Approach, Peter H. Egger, Badi H. Baltagi, Michaela Kesina
Firm-Level Productivity Spillovers In China’S Chemical Industry: A Spatial Hausman-Taylor Approach, Peter H. Egger, Badi H. Baltagi, Michaela Kesina
Center for Policy Research
This paper assesses the role of intra-sectoral spillovers in total factor productivity across Chinese producers in the chemical industry. We use a rich panel data-set of 12,552 firms observed over the period 2004-2006 and model output by the firm as a function of skilled and unskilled labor, capital, materials, and total factor productivity, which is broadly defined. The latter is a composite of observable factors such as export market participation, foreign as well as public ownership, the extent of accumulated intangible assets, and unobservable total factor productivity. Despite the richness of our data-set, it suffers from the lack of time …
Random Effects, Fixed Effects And Hausman’S Test For The Generalized Mixed Regressive Spatial Autoregressive Panel, Badi Baltagi, Long Liu
Random Effects, Fixed Effects And Hausman’S Test For The Generalized Mixed Regressive Spatial Autoregressive Panel, Badi Baltagi, Long Liu
Center for Policy Research
This paper suggests random and fixed effects spatial two-stage least squares estimators for the generalized mixed regressive spatial autoregressive panel data model. This extends the generalized spatial panel model of Baltagi, Egger and Pfaffermayr (2013) by the inclusion of a spatial lag dependent variable. The estimation method utilizes the Generalized Moments method suggested by Kapoor, Kelejian, and Prucha (2007) for a spatial autoregressive panel data model. We derive the asymptotic distributions of these estimators and suggest a Hausman test a la Mutl and Pfaffermayr (2011) based on the difference between these estimators. Monte Carlo experiments are performed to investigate the …
On Bias In The Estimation Of Structural Break Points, Liang Jiang, Xiaohu Wang, Jun Yu
On Bias In The Estimation Of Structural Break Points, Liang Jiang, Xiaohu Wang, Jun Yu
Research Collection School Of Economics
Based on the Girsanov theorem, this paper obtains the exact Önite sample distribution of the maximum likelihood estimator of structural break points in a continuous time model. The exact Önite sample theory suggests that, in empirically realistic situations, there is a strong Önite sample bias in the estimator of structural break points. This property is shared by least squares estimator of both the absolute structural break point and the fractional structural break point in discrete time models. A simulation-based method based on the indirect estimation approach is proposed to reduce the bias both in continuous time and discrete time models. …
Structural Change Estimation In Time Series Regressions With Endogenous Variables, Junhui Qian, Liangjun Su
Structural Change Estimation In Time Series Regressions With Endogenous Variables, Junhui Qian, Liangjun Su
Research Collection School Of Economics
We propose to apply the group fused Lasso to estimate time series models with endogenous regressors and an unknown number of breaks. It can correctly determine the number of breaks and estimate the break dates asymptotically. Simulations and applications are given.
Testing The Martingale Hypothesis, Peter C. B. Phillips, Sainan Jin
Testing The Martingale Hypothesis, Peter C. B. Phillips, Sainan Jin
Research Collection School Of Economics
We propose new tests of the martingale hypothesis based on generalized versions of the Kolmogorov–Smirnov and Cramér–von Mises tests. The tests are distribution-free and allow for a weak drift in the null model. The methods do not require either smoothing parameters or bootstrap resampling for their implementation and so are well suited to practical work. The article develops limit theory for the tests under the null and shows that the tests are consistent against a wide class of nonlinear, nonmartingale processes. Simulations show that the tests have good finite sample properties in comparison with other tests particularly under conditional heteroscedasticity …
A Closer Look At The Impact Of Quantitative Easing On The Capital Markets: Garch Analysis Of The Exchange Traded Funds Market, Nicholas R. Duafala
A Closer Look At The Impact Of Quantitative Easing On The Capital Markets: Garch Analysis Of The Exchange Traded Funds Market, Nicholas R. Duafala
Undergraduate Economic Review
This paper analyzes the effects of quantitative easing (QE) on the capital markets by modeling exchange traded funds (ETFs) returns using a generalized autoregressive conditional heteroskedasticity (GARCH) methodology. The results show that the 10-Year Treasury yields are significant in the returns of some sectors of the economy more so than others, and the Federal Funds Futures trading volume is significant in all ETFs return volatility. The implications of these results not only provide information about the reaction of the ETF market and QE, but also provide insight for developing investment strategies.
Top Of The Order: Modeling The Optimal Locations Of Minor League Baseball Teams, W. Coleman Conley
Top Of The Order: Modeling The Optimal Locations Of Minor League Baseball Teams, W. Coleman Conley
Undergraduate Economic Review
Over the last twenty-five years, minor league baseball franchises have defined firm mobility. Revisiting the work of Michael C. Davis (2006), I construct a logistic regression model to predict which cities house minor league baseball teams. Six variables are tested for inclusion in the model, including population, income level, the number of major-league professional sports teams in a city, five-year population change, and distance from the closest professional team. Based on the model's predicted probabilities, cities are ranked in order of highest probability of having a team at each of the different levels from Class A to Class AAA.
Rhode Island Current Conditions Index -- November 2014, Leonard Lardaro
Rhode Island Current Conditions Index -- November 2014, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Norming Rates And Limit Theory For Some Time-Varying Coefficient Autoregressions, Offer Lieberman, Peter C. B. Phillips
Norming Rates And Limit Theory For Some Time-Varying Coefficient Autoregressions, Offer Lieberman, Peter C. B. Phillips
Research Collection School Of Economics
A time-varying autoregression is considered with a similarity-based coefficient and possible drift. It is shown that the random-walk model has a natural interpretation as the leading term in a small-sigma expansion of a similarity model with an exponential similarity function as its AR coefficient. Consistency of the quasi-maximum likelihood estimator of the parameters in this model is established, the behaviours of the score and Hessian functions are analysed and test statistics are suggested. A complete list is provided of the normalization rates required for the consistency proof and for the score and Hessian function standardization. A large family of unit …
Rhode Island Current Conditions Index -- October 2014, Leonard Lardaro
Rhode Island Current Conditions Index -- October 2014, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Bound Estimator Of Hiv Prevalence: Application To Malawi, Tomoki Fujii, Denis H. Y. Leung
Bound Estimator Of Hiv Prevalence: Application To Malawi, Tomoki Fujii, Denis H. Y. Leung
Research Collection School Of Economics
To find lower and upper bounds of HIV prevalence in Malawi under mild and intuitive assumptions to assess the importance of the refusal issue in the estimation of HIV prevalence. Methods: We derive bounds based on the following two key assumptions: (i) Among those who have never taken an HIV test before, those who refuse to take an HIV test (hereafter “refusers”) have at least as much risk to be HIV positive as those who participate in the HIV test, and (ii) among the refusers, those who have a prior testing experience are at least as likely to be HIV …
A New Hedonic Regression For Real Estate Prices Applied To The Singapore Residential Market, Jiang Liang, Peter C. B. Phillips, Jun Yu
A New Hedonic Regression For Real Estate Prices Applied To The Singapore Residential Market, Jiang Liang, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
This paper develops a new hedonic method for constructing a real estate price index that utilizes all transaction price information that encompasses both single-sale and repeat-sale properties. The new method is less prone to specification errors than standard hedonic methods and uses all available data. Like the Case-Shiller repeat-sales method, the new method has the advantage of being computationally efficient. In an empirical analysis of the methodology, we fit the model to all transaction prices for private residential property holdings in Singapore between Q1 1995 and Q2 2014, covering several periods of major price fluctuation and changes in government macro …
Additive Nonparametric Regression In The Presence Of Endogenous Regressors, Deniz Ozabaci, Daniel J. Henderson, Liangjun Su
Additive Nonparametric Regression In The Presence Of Endogenous Regressors, Deniz Ozabaci, Daniel J. Henderson, Liangjun Su
Research Collection School Of Economics
In this article we consider nonparametric estimation of a structural equation model under full additivity constraint. We propose estimators for both the conditional mean and gradient which are consistent, asymptotically normal, oracle efficient, and free from the curse of dimensionality. Monte Carlo simulations support the asymptotic developments. We employ a partially linear extension of our model to study the relationship between child care and cognitive outcomes. Some of our (average) results are consistent with the literature (e.g., negative returns to child care when mothers have higher levels of education). However, as our estimators allow for heterogeneity both across and within …
An Economic Analysis Of Housing Market Instability And Affordability In China, You Wang
An Economic Analysis Of Housing Market Instability And Affordability In China, You Wang
Undergraduate Economic Review
Applying an intertemporal optimization model proposed by Aizenman and Marion (1991), this research quantifies instability in the Chinese housing market. Although the Chinese government established numerous real estate policies to ensure the stability of the housing market, the regression analyses indicate that housing policies had no significant impact on the stabilization of the Chinese housing market. Alternatively, macroeconomic factors are identified as significant explanatory variables to the instability of housing prices. In addition, this research computes the median multiple for major cities in China and provides an alternative means of investigating the abnormal housing price situation in China.
Rhode Island Current Conditions Index -- September 2014, Leonard Lardaro
Rhode Island Current Conditions Index -- September 2014, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Testing Conditional Independence Via Empirical Likelihood, Liangjun Su, Halbert White
Testing Conditional Independence Via Empirical Likelihood, Liangjun Su, Halbert White
Research Collection School Of Economics
We construct two classes of smoothed empirical likelihood ratio tests for the conditional independence hypothesis by writing the null hypothesis as an infinite collection of conditional moment restrictions indexed by a nuisance parameter. One class is based on the CDF; another is based on smoother functions. We show that the test statistics are asymptotically normal under the null hypothesis and a sequence of Pitman local alternatives. We also show that the tests possess an asymptotic optimality property in terms of average power. Simulations suggest that the tests are well behaved in finite samples. Applications to some economic and financial time …
Intraday Periodicity Adjustments Of Transaction Duration And Their Effects On High-Frequency Volatility Estimation, Yiu Kuen Tse, Yingjie Dong
Intraday Periodicity Adjustments Of Transaction Duration And Their Effects On High-Frequency Volatility Estimation, Yiu Kuen Tse, Yingjie Dong
Research Collection School Of Economics
We study two methods of adjusting for intraday periodicity of high-frequency financial data: the well-known Duration Adjustment (DA) method and the recently proposed Time Transformation (TT) method (Wu (2012)). We examine the effects of these adjustments on the estimation of intraday volatility using the Autoregressive Conditional Duration-Integrated Conditional Variance (ACD-ICV) method of Tse and Yang (2012). We find that daily volatility estimates are not sensitive to intraday periodicity adjustment. However, intraday volatility is found to have a weaker U-shaped volatility smile and a biased trough if intraday periodicity adjustment is not applied. In addition, adjustment taking account of trades with …
Modified Qml Estimation Of Spatial Autoregressive Models With Unknown Heteroskedasticity And Nonnormality, Shew Fan Liu, Zhenlin Yang
Modified Qml Estimation Of Spatial Autoregressive Models With Unknown Heteroskedasticity And Nonnormality, Shew Fan Liu, Zhenlin Yang
Research Collection School Of Economics
In the presence of heteroskedasticity, Lin and Lee (2010) show that the quasi maximum likelihood (QML) estimators of spatial autoregressive models (SAR) can be inconsistent as a ‘necessary’ condition for consistency can be violated, and thus propose robust GMM estimators for the model. In this paper, we first show that this condition may hold in many practical situations and when it does the regular QML estimators can be consistent.In cases where this condition is violated, we propose a modified QML estimation method robust against heteroskedasticity of unknown form. In both cases, asymptotic distributions of the estimators are derived, and methods …
Initial-Condition Free Estimation Of Fixed Effects Dynamic Panel Data Models, Zhenlin Yang
Initial-Condition Free Estimation Of Fixed Effects Dynamic Panel Data Models, Zhenlin Yang
Research Collection School Of Economics
It is well known that (quasi) MLE of dynamic panel data (DPD) models with short panels depends on the assumptions on the initial values; ignoring them or a wrong treatment of them will result in inconsistency or serious bias. This paper introduces a initial-condition free method for estimating the fixed-effects DPD models, through as simple modification of the quasi-score. An outer-product-of-gradients (OPG) method is also proposed for robust inference. The MLE of Hsiao, Pesaran and Tahmiscioglu (2002, Journal of Econometrics), where the initial observations are modeled, is extended to quasi MLE and an OPG method is proposed for robust inference. …
Asymptotic Distribution And Finite-Sample Bias Correction Of Qml Estimators For Spatial Dependence Model, Shew Fan Liu, Zhenlin Yang
Asymptotic Distribution And Finite-Sample Bias Correction Of Qml Estimators For Spatial Dependence Model, Shew Fan Liu, Zhenlin Yang
Research Collection School Of Economics
In studying the asymptotic and finite-sample properties of quasi-maximum likelihood (QML) estimators for the spatial linear regression models, much attention has been paid to the spatial lag dependence (SLD) model; little has been given to its companion, the spatial error dependence (SED) model. In particular, the effect of spatial dependence on the convergence rate of the QML estimators has not been formally studied, and methods for correcting finite-sample bias of the QML estimators have not been given. This paper fills in these gaps. Of the two, bias correction is particularly important to the application of this model. Contrary to the …
Study On The Newbuilding Price Mechanism Of Capesize Bulkcarrier Based On The Econometric Theory, Yue Lei
Study On The Newbuilding Price Mechanism Of Capesize Bulkcarrier Based On The Econometric Theory, Yue Lei
World Maritime University Dissertations
No abstract provided.