Econometrics Commons^™

Better-Than-Chance Prediction Of Cooperative Behaviour From First And Second Impressions, Eric Schniter, Timothy W. Shields

ESI Working Papers

Could cooperation among strangers be facilitated by adaptations that use sparse information to accurately predict cooperative behaviour? We hypothesize that predictions are influenced by beliefs, descriptions, appearance, and behavioural history available for first and second impressions. We also hypothesize that predictions improve when more information is available. We conducted a two-part study. First, we recorded thin-slice videos of university students just before their choices in a repeated Prisoner’s Dilemma with matched partners. Second, a worldwide sample of raters evaluated each player using either videos, photos, only gender labels, or neither images nor labels. Raters guessed players’ first-round Prisoner’s Dilemma choices …

Contingent Payments In Procurement Interactions - Experimental Evidence, Matthew J. Walker, Jason Shachat, Lijia Wei

ESI Working Papers

A primary objective of creating competition among suppliers is the procurement of higher quality goods and services at lower prices. When procuring non-standard goods, it is often difficult to write a complete specification of desired quality in the contract. Thus, payments to suppliers cannot be perfectly conditioned on the quality provided. We propose a correlated contingent payment contract to mitigate the supplier moral hazard problem while retaining competitive supplier selection based on price. We treat the probability of implementing contingent payments as probabilistic. The selected supplier’s payment is, according to a fixed probability, either the amount of their bid or …

Data Supplement To 'H. Keith Hunt On Consumer Behavior: Understanding His Contribution', Laura Egan, David Aron

Datasets

Includes the data, data collection procedures, and data notes for the bibliometric analysis components of "H. Keith Hunt on Consumer Behavior: Understanding His Contribution.” The study uses an ego-centered bibliometric analysis method developed by Howard White to examine the impact of H. Keith Hunt on the field of consumer behavior. Ego-centered analysis is based on social network analysis where the social network modes are the citation identity, citation image, citation image-makers, and co-authors of an author studied. The data files address each of these aspects and the top consumer behavior journals used for the citation image portion of the data …

Finite Sample Comparison Of Alternative Estimators For Fractional Gaussian Noise, Shuping Shi, Jun Yu, Chen Zhang

Research Collection School Of Economics

The fractional Brownian motion (fBm) process is a continuous-time Gaussian process with its increment being the fractional Gaussian noise (fGn). It has enjoyed widespread empirical applications across many fields, from science to economics and finance. The dynamics of fBm and fGn are governed by a fractional parameter H ∈ (0, 1). This paper first derives an analytical expression for the spectral density of fGn and investigates the accuracy of various approximation methods for the spectral density. Next, we conduct an extensive Monte Carlo study comparing the finite sample performance and computational cost of alternative estimation methods for H under the …

Four Essays On Peace Consolidation And Ethnic Reconciliation In Postwar Sri Lanka, Narayani Sritharan

Doctoral Dissertations

In four essays, this dissertation explores the process of peace consolidation and economic recovery from the devastating conflict of 1983-2009 in Sri Lanka. This dissertation addresses a timely and important topic. The findings make an important contribution to the literature on economic development and peacebuilding, specifically on the role of foreign aid in alleviating the risks of conflict and helping countries rebuild their economies after conflict. The dissertation highlights important political economy dimensions that help illustrate social and political dynamics that lead to conflict, such as regional and ethnic inequalities, which also influence post-conflict reconstruction. In addition to a historical …

Robust Testing For Explosive Behavior With Strongly Dependent Errors, Yiu Lim Lui, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A heteroskedasticity-autocorrelation robust (HAR) test statistic is proposed to test for the presence of explosive roots in financial or real asset prices when the equation errors are strongly dependent. Limit theory for the test statistic is developed and extended to heteroskedastic models. The new test has stable size properties unlike conventional test statistics that typically lead to size distortion and inconsistency in the presence of strongly dependent equation errors. The new procedure can be used to consistently time-stamp the origination and termination of an explosive episode under similar conditions of long memory errors. Simulations are conducted to assess the finite …

On The Optimal Forecast With The Fractional Brownian Motion, Xiaohu Wang, Chen Zhang, Jun Yu

Research Collection School Of Economics

This paper examines the performance of alternative forecasting formulae with the fractional Brownian motion based on a discrete and finite sample. One formula gives the optimal forecast when a continuous record over the infinite past is available. Another formula gives the optimal forecast when a continuous record over the finite past is available. Alternative discretiza-tion schemes are proposed to approximate these formulae. These alternative discretization schemes are then compared with the conditional expectation of the target variable on the vector of the discrete and finite sample. It is shown that the conditional expectation delivers more accurate forecasts than the discretization-based …

Low-Rank Panel Quantile Regression: Estimation And Inference, Yiren Wang, Yichong Zhang, Yichong Zhang

Research Collection School Of Economics

In this paper, we propose a class of low-rank panel quantile regression models which allow for unobserved slope heterogeneity over both individuals and time. We estimate the heterogeneous intercept and slope matrices via nuclear norm regularization followed by sample splitting, row- and column-wise quantile regressions and debiasing. We show that the estimators of the factors and factor loadings associated with the intercept and slope matrices are asymptotically normally distributed. In addition, we develop two specification tests: one for the null hypothesis that the slope coefficient is a constant over time and/or individuals under the case that true rank of slope …

Litigation With Negative Expected Value Suits: An Experimental Analysis, Cary Deck, Paul Pecorino, Michael Solomon

ESI Working Papers

The existence of lawsuits providing plaintiffs a negative expected value (NEV) at trial has important theoretical implications for signaling models of litigation. The signaling equilibrium possible absent NEV suits breaks down with NEV suits because plaintiffs do not have a credible threat to proceed to trial undermining the ability to signal type. Using a laboratory experiment, we analyze behavior with and without the possibility of NEV suits. Absent NEV suits, behavior largely follows predicted patterns. However, the possibility of NEV suits does not cause the signaling equilibrium to unravel and does not cause the dispute rate to increase. Plaintiffs only …

Dynamic Return Relationships In The Market For Cryptocurrency: A Var Approach, Julian Gouffray

James Madison Undergraduate Research Journal (JMURJ)

This paper examines how the Bitcoin-altcoin return relationship has evolved in periods between 2015 and 2020. To understand this relation, we observe data on the cryptocurrency Bitcoin and prominent altcoins Ethereum, Litecoin, Ripple, Stellar, and Monero, which collectively represent over 90% of the market throughout the observed period. We employ a vector autoregressive model (VAR) to produce forecast error variance decompositions, orthogonal impulse response functions, and Granger-causality tests. We find evidence that Bitcoin return variation has increasingly explained altcoin returns and that market inefficiency increased between 2017 and 2020, as shown by increased Granger causality between Bitcoin and altcoins. These …

Inequality As A Barrier To Economic Integration? An Experiment, Gabriele Camera, Lukas Hohl, Rolf Weder

ESI Working Papers

International economic theory suggests that people should embrace economic integration because it promises large gains. But policy reversals such as Brexit indicate a desire for economic disintegration. Here we report results of an experiment of how size and cross-country distribution of gains from integration influence individuals’ inclination to cooperate to reap its intended benefits and to embrace or reject integration. The design considers an indefinitely repeated helping game with multiple equilibria and strategic uncertainty. The data reveal that inequality of potential gains neither affected behavior nor reduced support for economic integration. However, integration may lead to disappointing, unequally distributed welfare …

Information Aggregation With Heterogeneous Traders, Cary Deck, Tae In Jun, Laura Razzolini, Tavoy Reid

ESI Working Papers

The efficient market hypothesis predicts that asset prices reflect all available information. A seminal experiment reported that contingent claim markets could yield market outcomes consistent with information aggregation when traders hold heterogeneous state-contingent values. However, a recent experiment found the rational expectation model outperformed the prior information and maxi-min models in contingent claim markets when traders hold homogeneous values despite the no trade equilibrium in that setting. But that same study failed to replicate the original result calling into question when, if ever, prices reliably reflect the aggregate information of traders with heterogeneous values. In this paper, we show contingent …

Essays On Futures Market And Machine Learning, Jonathan J. Lopez Camara

Dissertations, Theses, and Capstone Projects

Chapter 1 - Big Data And Machine Learning To Predict Overnight Interest Rates. This paper is a brief introduction to the two main pieces I have elaborated as part of the dissertation. Here, I explain the reasons why I have done my research about predicting the overnight interest rates for Mexico and the United States using big data and machine learning models. I explain the connection between the two research papers, I define some basic concepts such as future contracts and the overnight funding rate for Mexico. There is a summary about the data I use, and the machine learning …

Posterior-Based Wald-Type Statistic For Hypothesis Testing, Xiaobin Liu, Yong Li, Jun Yu, Tao Zeng

Research Collection School Of Economics

A new Wald-type statistic is proposed for hypothesis testing based on Bayesian posterior distributions under the correct model specification. The new statistic can be explained as a posterior version of the Wald statistic and has several nice properties. First, it is well-defined under improper prior distributions. Second, it avoids Jeffreys–Lindley–Bartlett’s paradox. Third, under the null hypothesis and repeated sampling, it follows a distribution asymptotically, offering an asymptotically pivotal test. Fourth, it only requires inverting the posterior covariance for parameters of interest. Fifth and perhaps most importantly, when a random sample from the posterior distribution (such as MCMC output) is available, …

Essays On Spillover Effects Across U.S And China, Zhuo Xi

Dissertations, Theses, and Capstone Projects

Chapter1: With the rapid development and continuous advancement of economic globalization, the links between countries around the world have become increasingly tight. Among them, the United States, as the world's largest economy, its monetary policy is bound to cause significant spillover effects on other economies around the world. By constructing a Threshold SVAR model with monthly data from 1996 to 2019, this paper empirically investigates the spillover effects of US monetary policy on China's economy during different U.S policy regimes. The transmission mechanism of such effects has been tested through different channels including policy channel, trade channel, asset value channel …

Essays On Machine Learning Methods In Economics, Mani Bayani

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters on machine learning modeling in economics. Chapter 1 - Robust PCA Synthetic Control: In this chapter, I propose an algorithm for comparative studies called robust PCA synthetic control. My algorithm builds on the synthetic control model of Abadie et al., 2015 and the robust synthetic control model of Amjad et al., 2018. I apply all three methods (robust PCA synthetic control, synthetic control, and robust synthetic control) to answer the hypothetical question, what would have been the per capita GDP of West Germany if it had not reunified with East Germany in 1990? I …

Essays On Impacts Of Women Empowerment On The Health Outcomes Of Children, Sagnik Das

Dissertations, Theses, and Capstone Projects

Chapter 1: Taking cognizance of the lack of representation of women in politics, the Indian government in 1993, enacted the 73rd constitutional amendment which led to a sudden increase in the representation of women in the local governments. Exploiting the exogenous variation in the timing of implementation of the 73rd amendment across the states, I study the spillover effects of this mandated empowerment of women on the health outcomes of children by using nationally representative survey data and employing a difference-in-difference estimation strategy. In this study, I find evidence of a positive impact of mandated women empowerment on the survival …

Bayesian Methods In Economics And Finance: Editor's Introduction, Jun Yu

Research Collection School Of Economics

Modern days, Bayesian methods have gained prominence in theoretical work and applications in economics and finance due to the rapid development of computational technologies and their ability to learn. The special issue intends to examine central aspects in Bayesian analysis and applications, including prior choices, model selection with massive data and latent variables, hypothesis testing, Bayesian learning. In total, this special issue contains ten papers, all subject to the Journal of Econometrics (JOE)’s normal refereeing process. Most of these papers came from a conference held at the ESSEC Singapore campus on 10 December 2018.

Macroeconomic Adjustments Of Global Convergence: Real Exchange Rate Response Of Asia-Pacific Growth, Kumarappan Annamalai

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters.

Chapter 1 : PURCHASING POWER PARITY, REAL EXCHANGE RATE, PRICE LEVEL INDEX and HARROD-BALASSA-SAMUELSON EFFECT: LITERATURE SURVEY

In the light of the concepts explained in the introduction section, this chapter explores the seminal papers on the Purchasing Power Parity principle, the Real Exchange rate, and the Price Level Index, showing the evolution of PPP and the methodologies adopted in exploring the characteristics of PPP and the real exchange rates. Various characteristics might be stationarity or non-stationarity of the real exchange rates (RER), variance, correlation, half-life measures, linearity versus non-linearity, etc. Various methodologies adopted were …

Historical Political Economy: What Is It?, Jeffrey Jenkins, Jared Rubin

ESI Working Papers

In this chapter, we define what historical political economy (HPE) is and is not, classify the major themes in the literature, assess the relative strengths and weaknesses of the literature, and point to future directions. We view HPE as social scientific inquiry which highlights political causes or consequences of historical issues. HPE is different from conventional political economy in the emphasis placed on historical processes and context. While we view HPE in the most inclusive manner reasonable, we define it to exclude works that are either solely of contemporary importance or use historical data without any historical context (e.g., long-run …