Truth By Consensus: A Theoretical And Empirical Investigation,
2024
Chapman University
Truth By Consensus: A Theoretical And Empirical Investigation, Gabriele Camera, Rod Garratt, Cyril Monnet
ESI Working Papers
Truthful reporting about publicly observed events cannot be guaranteed by a consensus process. This fact, which we establish theoretically and verify empirically, holds true even if some individuals are compelled to tell the truth, regardless of economic incentives. In an experiment, subjects routinely misreported a commonly known event when they could monetarily gain from it. Relying on majority consensus did not help uncover the truth, especially if complying with the majority granted small personal monetary gains. This highlights the difficulties in relying on shared consensus protocols to agree on specific events, and the importance of institutions with trusted, impartial observers.
Estimating The Stability Of Okun's Law,
2024
Fort Hays State University
Estimating The Stability Of Okun's Law, Xinrui (Crystal) Wang, Samuel Schreyer
SACAD: Scholarly Activities
This study focuses on employing the gap version of Okun's Law, conducting regression analysis between the output gap and the unemployment gap to assess their effectiveness and long-term stability, and also estimates the significant relationship between the output gap and the unemployment gap. This study also compares the output gap dynamics during economic contractions and expansions.
Does Dollarization Have An Impact On Economic Growth?,
2024
Georgia College
Does Dollarization Have An Impact On Economic Growth?, Jorge Robinson
Research Day
Many developing and undeveloped countries, grappling with issues such as hyperinflation, corruption, high unemployment rates, poverty, and financial instability, often view dollarization as a potential solution. Dollarization involves adopting the US currency as the official or parallel currency, a strategy observed in countries like El Salvador, Ecuador, and Zimbabwe. The purpose of this research is to compare the impact of dollarization on real gross domestic product (RGDP) to that of countries that did not adopt dollarization. My results indicate that dollarization does indeed affect economic growth. These findings demonstrate that dollarized countries experience a higher percentage change in RGDP compared …
Ambiguity, Cognitive Reflection, And Strategic Complexity Across Auctions,
2024
Chapman University
Ambiguity, Cognitive Reflection, And Strategic Complexity Across Auctions, Cary Deck, Paan Jindapon, Tigran Melkonyan, Mark Schneider
ESI Working Papers
This paper bridges large but separate literatures on decision-making under ambiguity, the dual system framework of behavioral economics, and market design. We characterize behavior under ambiguity arising from dual system preferences. Rational System 2 satisfies the subjective expected utility axioms while behavioral System 1 satisfies the obvious dominance axiom from mechanism design. Our axioms provide a novel foundation for the popular NEO-EU ambiguity model and allow for source dependent ambiguity perceptions. Our approach also provides an explanation as to how behavioral differences arise between obviously strategy-proof mechanisms (e.g. English auctions) and other mechanisms. Empirically, we find ambiguity perceptions are lower …
Robust Inference On Correlation Under General Heterogeneity,
2024
Singapore Management University
Robust Inference On Correlation Under General Heterogeneity, Liudas Giraitis, Yuefei Li, Peter C. B. Phillips
Research Collection School Of Economics
Considerable evidence in past research shows size distortion in standard tests for zero autocorrelation or zero cross-correlation when time series are not independent identically distributed random variables, pointing to the need for more robust procedures. Recent tests for serial correlation and cross-correlation in Dalla, Giraitis, and Phillips (2022) provide a more robust approach, allowing for heteroskedasticity and dependence in uncorrelated data under restrictions that require a smooth, slowly-evolving deterministic heteroskedasticity process. The present work removes those restrictions and validates the robust testing methodology for a wider class of innovations and regression residuals allowing for heteroscedastic uncorrelated and non-stationary data settings. …
Bootstrap Inference For Quantile Treatment Effects In Randomized Experiments With Matched Pairs,
2024
Singapore Management University
Bootstrap Inference For Quantile Treatment Effects In Randomized Experiments With Matched Pairs, Liang Jiang, Xiaobin Liu, Peter C B Phillips, Yichong Zhang
Research Collection School Of Economics
This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs). Standard multiplier bootstrap inference fails to capture the negative dependence of observations within each pair and is therefore conservative. Analytical inference involves estimating multiple functional quantities that require several tuning parameters. Instead, this paper proposes two bootstrap methods that can consistently approximate the limit distribution of the original QTE estimator and lessen the burden of tuning parameter choice. Most especially, the inverse propensity score weighted multiplier bootstrap can be implemented without knowledge of pair identities.
Testing The Dimensionality Of Policy Shocks,
2024
Singapore Management University
Testing The Dimensionality Of Policy Shocks, Jia Li, Viktor Todorov, Qiushi Zhang
Research Collection School Of Economics
This paper provides a nonparametric test for deciding the dimensionality of a policy shock as manifest in the abnormal change in asset returns' stochastic covariance matrix, following the release of a macroeconomic announcement. We use high-frequency data in local windows before and after the event to estimate the covariance jump matrix, and then test its rank. We find a one-factor structure in the covariance jump matrix of the yield curve resulting from the Federal Reserve's monetary policy shocks prior to the 2007-2009 financial crisis. The dimensionality of policy shocks increased afterwards due to the use of unconventional monetary policy tools.
Optimal Inference For Spot Regressions,
2024
Duke University
Optimal Inference For Spot Regressions, Tim Bollerslev, Jia Li, Yuexuan Ren
Research Collection School Of Economics
Betas from return regressions are commonly used to measure systematic financial market risks. "Good" beta measurements are essential for a range of empirical inquiries in finance and macroeconomics. We introduce a novel econometric framework for the nonparametric estimation of time-varying betas with high-frequency data. The "local Gaussian" property of the generic continuous-time benchmark model enables optimal "finite-sample" inference in a well-defined sense. It also affords more reliable inference in empirically realistic settings compared to conventional large-sample approaches. Two applications pertaining to the tracking performance of leveraged ETFs and an intraday event study illustrate the practical usefulness of the new procedures.
Panel Data Models With Time-Varying Latent Group Structures,
2024
Singapore Management University
Panel Data Models With Time-Varying Latent Group Structures, Yiren Wang, Peter C. B. Phillips, Liangjun Su
Research Collection School Of Economics
This paper considers a linear panel model with interactive fixed effects and unobserved individual and time heterogeneities that are captured by some latent group structures and an unknown structural break, respectively. To enhance realism, the model may have different numbers of groups and/or different group memberships before and after the break. With preliminary nuclear norm regularized estimation followed by row- and column-wise linear regressions, we estimate the break point based on the idea of binary segmentation and the latent group structures together with the number of groups before and after the break by sequential testing K-means algorithm simultaneously. It is …
High Frequency Principal Component Analysis Based On Correlation Matrix That Is Robust To Jumps, Microstructure Noise And Asynchronous Observation Times,
2024
Singapore Management University
High Frequency Principal Component Analysis Based On Correlation Matrix That Is Robust To Jumps, Microstructure Noise And Asynchronous Observation Times, Dachuan Chen
Research Collection School Of Economics
This paper developed the high frequency estimation for the principal component analysis (PCA) based on correlation matrix. This estimation methodology is robust to jumps, microstructure noise and asynchronous observation times simultaneously, which is enabled by the newly proposed Truncated and Smoothed Two-Scales Realized Volatility (Truncated S-TSRV) estimator. The general framework of our methodology is constructed based on the estimation of realized spectral functions with respect to the spot correlation matrix. A new asymptotic representation for the element-wise estimation error of the spot correlation matrix estimate has been derived, resulting in a new bias correction term which is much more complex …
Cognitive Abilities And Individual Earnings In Hybrid Continuous Double Auctions,
2024
Xiamen University
Cognitive Abilities And Individual Earnings In Hybrid Continuous Double Auctions, Yan Peng, Jason Shachat, Lijia Wei, S. Sarah Zhang
ESI Working Papers
There is growing evidence that human cognitive abilities strongly influence individual trader financial performance. Much of this evidence has been established in experimental asset markets whose participants are exclusively human traders. However, algorithmic trading has reshaped financial markets, raising the issue of whether these assessments on the impact of cognititive abilities still hold in these settings, particularly in markets with low latency algorithmic traders. Extending previous findings in experimental asset markets, we examine how individual cognitive abilities—reaction time, trader intuition (Theory of Mind), and cognitive reflection—affect human earnings in induced demand and supply markets with and without algorithmic traders of …
Reinvigorating Gva Nowcasting In The Post-Pandemic Period: A Case Study For India,
2024
Reserve Bank of India, India
Reinvigorating Gva Nowcasting In The Post-Pandemic Period: A Case Study For India, Kaustubh Na, Soumya Suvra Bhadury, Saurabh Ghosh
Bulletin of Monetary Economics and Banking
We reinvigorate nowcasting models considering structural changes caused by the COVID-19 pandemic. It emphasizes the need to understand the heterogeneous impact of shocks on agriculture, industry, and services sectors in an emerging market economy (e.g., India). Our findings advocate a bottom-up approach that tracks sectors separately rather than a headline number. Our results suggest including digital-activity index and supply-side disruption index in the post-pandemic period could improve nowcast performance. Expectation-Maximization (E-M) algorithm is used to combine data series based on their availability. Among bridging methods, the averaging method is preferred due to its simplicity and flexibility.
Possible Role Of The One-Half Heuristic In Overconfidence Research,
2024
Chapman University
Possible Role Of The One-Half Heuristic In Overconfidence Research, Vojtěch Zíka
ESI Working Papers
Overconfidence research often involves estimating performance within a fixed range. Recent studies suggest that overprecision is affected by central tendency bias, the tendency to estimate near the center of a perceived distribution. This paper examines whether a similar pattern influences the other two overconfidence types, overestimation and overplacement. In a laboratory experiment (N = 120), participants estimated their own and the average performance over five rounds of ten Rock–Paper–Scissors games. Each round earned for up to 40 points, but average performance varied across three treatments, with means of 16.6, 20, and 23.3 points. The main question was whether this manipulation …
Horizontal Economic Inequality And Mass Atrocity Risk: A Large-Sample Empirical Inquiry,
2024
College of the Holy Cross
Horizontal Economic Inequality And Mass Atrocity Risk: A Large-Sample Empirical Inquiry, Charles H. Anderton, Roxane A. Anderton
Genocide Studies and Prevention: An International Journal
Our research question is: Does inter-group horizontal economic inequality elevate state-perpetrated mass atrocity risk? Theoretical perspectives in genocide studies show how economic and other forms of discrimination against ethnic or religious groups can elevate the risk of government violence against them. Among the approximately five dozen large-sample empirical studies of mass atrocity risk, only a few consider the effects of economic discrimination. Moreover, no large-sample empirical studies, to the best of our knowledge, test hypotheses related to how inter-group horizontal economic inequalities (as distinct from vertical economic inequalities based on GINI coefficients or quantile income or wealth measures) affect mass …
How Does Passive Investing Effect The Informational Efficiency Of Prices?,
2024
Emlyon Business School
How Does Passive Investing Effect The Informational Efficiency Of Prices?, Brice Corgnet, Mark Desantis, Yan Peng, David Porter, Jason Shachat
ESI Working Papers
We investigate the causal effects of passive investing on informational efficiency and market quality metrics by developing a novel laboratory experiment that introduces Index trackers with exogenous passive investment flows. We find that, while improving liquidity, Index tracking hurts informational efficiency, confirming our main hypothesis. Furthermore, we observe violations of the law of one price, leading to widespread and persistent arbitrage opportunities. Additionally, our research uncovers that Active traders, particularly those with private information about asset values and high cognitive ability, reap benefits from the introduction of Index tracking.
Assessing The Recreational Charter Fishing Market In Florida: A Hedonic Price Analysis,
2024
College of Saint Benedict/Saint John's University
Assessing The Recreational Charter Fishing Market In Florida: A Hedonic Price Analysis, Mehrnoosh Asadi, Pallab Mozumder, Mahadev G. Bhat
Economics Faculty Publications
In this study we analyze the effect of a wide range of factors on the variation of recreational fishing trip prices in Florida. We collected extensive data from recreational fishing websites maintained by guides and outfitters and used different empirical methods for quantifying the relationship between trip price and various trip characteristics. The Hedonic Price model was used to estimate the implicit prices of freshwater and saltwater fishing trip characteristics. The results suggest that freshwater and saltwater anglers significantly value the lodging feature included in the fishing trip package. Moreover, saltwater anglers had a higher willingness to pay to catch …
Representation And Bracketing In Repeated Games,
2024
Chapman University
Representation And Bracketing In Repeated Games, Mouli Modak
ESI Working Papers
In this experimental paper, the author investigates the framing effect of different representations of multiple strategic settings or games on a player’s strategic behavior. Two representations of the same environment are employed, wherein a player engages in two infinitely repeated prisoner’s dilemma games. In the first representation (termed Split), the stage games are shown separately. In contrast, the second representation (termed Linked) displays a combined stage game. The choice bracketing, distinguishing between Narrow and Broad bracketing, is considered a potential cause behind any disparity in behavior between the two representations. The Split representation does not necessitate broad bracketing, whereas the …
Essays In Macroeconomics And Finance,
2024
CUNY Graduate Center
Essays In Macroeconomics And Finance, Archil Dvalishvili
Dissertations, Theses, and Capstone Projects
Chapter 1: (A Quantitative Analysis of Interest on Reserves and Reserve Requirements) - I construct a medium scale DSGE model with financial frictions both on the demand (entrepreneurs) and supply (banks) sides of credit to study the costs and benefits of fixed/time-varying minimum reserve requirements and interest paid by the Fed on reserves.The results can be summarized as follows: (1) An optimal time-varying minimum reserve requirement generates substantial welfare gain when compared with a fixed minimum reserve requirement when no interest is paid on reserves. (2) Paying interest on reserves is substantially welfare inferior to a policy with no interest …
How Personalized Networks Can Limit Free Riding: A Multi-Group Version Of The Public Goods Game,
2024
Chapman University
How Personalized Networks Can Limit Free Riding: A Multi-Group Version Of The Public Goods Game, Aaron S. Berman, Laurence R. Iannaccone, Mouli Modak
ESI Working Papers
People belong to many different groups, and few belong to the same network of groups. Moreover, people routinely reduce their involvement in dysfunctional groups while increasing involvement in those they find more attractive. The net effect can be an increase in overall cooperation and the partial isolation of free-riders, even if free-riders are never punished, excluded, or recognized. We formalize and test this conjecture with an agent-based social simulation and a multi-good extension of the standard repeated public goods game. Our initial results from three treatments suggest that the multi-group setting indeed raises overall cooperation and dampens the impact of …
Personal Lies,
2024
University of California, Santa Barbara
Personal Lies, Gary Charness, Ismael Rodriguez-Lara
ESI Working Papers
Using the mind game, we provide experimental evidence that people are more likely to lie when they disclose non-personal information (e.g., reporting a number they thought of) compared with personal information (e.g., reporting the last digit of their birth year). Our findings suggest that the type of information is an important factor for lying behavior.
