Department of Economics
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Departmental Publications, Department of Economics [5]
Newsletters, annual reports, and other departmental publications 
Faculty Works, Department of Economics [31]
Research articles, presentations, and other scholarship
Recent Submissions

Amenities, affordability, and housing vouchers
(Blackwell Publishing Inc., 20180619)Against the background of an emerging rental affordability crisis, we examine how the standard rule that households should not spend more than 30% of their income on housing expenditures leads to inefficiencies in the ... 
Frustration and Anger in Games
(Virginia Tech, 20150824)Frustration, anger, and aggression have important consequences for economic and social behavior, concerning for example monopoly pricing, contracting, bargaining, traffic safety, violence, and politics. Drawing on insights ... 
SubsetContinuousUpdating GMM Estimators for Dynamic Panel Data Models
(MDPI, 20161130)The twostep GMM estimators of Arellano and Bond (1991) and Blundell and Bond (1998) for dynamic panel data models have been widely used in empirical work; however, neither of them performs well in small samples with weak ... 
CloudSourcing: Using an Online Labor Force to Detect Clouds and Cloud Shadows in Landsat Images
(MDPI, 20150226)We recruit an online labor force through Amazon.com’s Mechanical Turk platform to identify clouds and cloud shadows in Landsat satellite images. We find that a large group of workers can be mobilized quickly and relatively ... 
Credible GrangerCausality Inference with Modest Sample Lengths: A CrossSample Validation Approach
(MDPI, 20140325)Credible Grangercausality analysis appears to require postsample inference, as it is wellknown that insample fit can be a poor guide to actual forecasting effectiveness. However, postsample model testing requires an ... 
Revisiting Simpson's Paradox: a statistical misspecification perspective
The primary objective of this paper is to revisit Simpson's paradox using a statistical misspecification perspective. It is argued that the reversal of statistical associations is sometimes spurious, stemming from invalid ... 
Revisiting the NeymanScott model: an Inconsistent MLE or an Illdefined Model?
The Neyman and Scott (1948) model is widely used to demonstrate a serious weakness of the Maximum Likelihood (ML) method: it can give rise to inconsistent estimators. The primary objective of this paper is to revisit this ... 
Where do statistical models come from? Revisiting the problem of specification
R. A. Fisher founded modern statistical inference in 1922 and identified its fundamental problems to be: specification, estimation and distribution. Since then the problem of statistical model specification has received ... 
The Two Envelope Problem: a Paradox or Fallacious Reasoning?
The primary objective of this note is to revisit the two envelope problem and propose a simple resolution. It is argued that the paradox arises from the ambiguity associated with the money content $x of the chosen envelope. ... 
Why the Decision Theoretic Perspective Misrepresents Frequentist Inference: 'Nuts and Bolts' vs. Learning from Data
The primary objective of this paper is to revisit and make a case for the merits of R.A. Fisher's objections to the decisiontheoretic framing of frequentist inference. It is argued that this framing is congruent with the ... 
Frequencywave number array processing
(Acoustical Society of America, 198103)Most array signal processing systems use delayandsum beamforming to estimate source bearings. This paper demonstrates the close relationship between beamforming and frequencywavenumber spectrum analysis. The latter ... 
Bearing estimation using a perturbed linear array
(Acoustical Society of America, 197706)A linear hydrophone array which is towed in the ocean is subject to snakelike bending. If the array is processed as if it was truly linear, the author has shown that the bending causes a deflection of the measured bearing ... 
Estimating bearing when the source is endfire to an array
(Acoustical Society of America, 197903)Consider the problem of estimating the direction of arrival of a plane wave using a linear array of length L with M sensors. Let 0 denote the direction with respect to the array axis. Assume that we know that 0 >0. The ... 
On errors in some papers on array processing
(Acoustical Society of America, 197902)Some errors in the literature are noted concerning the calculation of the maximumlikelihood estimator. 
Statistical approach to passive target tracking
(Acoustical Society of America, 198103)The paper presents a method for passively tracking a moving target using a sequence of bearings from a surveillance platform. The key assumption for the method is that the target is moving at a constant speed on a fixed ... 
Maximum likelihood estimation of the position of a radiating source in a waveguide
(Acoustical Society of America, 197909)An array of sensors is receiving radiation from a source of interest. The source and the array are in a oneor twodimensional waveguide. The maximumlikelihood estimators of the coordinates of the source are analysed under ... 
Beamforming when the sound velocity is not precisely known
(Acoustical Society of America, 198008)Beamforming is an integral part of most signal processingsystems in active or passive sonars. The delays used to generate a beam are functions of the sound velocity, which depends on temperature, salinity, and pressure. ... 
Passive range estimation using subarray parallax
(Acoustical Society of America, 197905)Consider a large aperture linear array which is detecting coherent radiation from a source. Suppose that the array is processed as a string of subarrays consisting of adjacent sensors. Assume that the signal is a plane ... 
Bearing estimation using a large towed array
(Acoustical Society of America, 1975)When a towed array of hydrophones is significantly nonlinear due to bending, ordinary linear array beamforming gives a biased estimate of the true source bearing. By processing the array as a sequence of smaller aperture ...