Ambiguity And Ambiguity Attitudes Across Auctions, 2024 Chapman University
Ambiguity And Ambiguity Attitudes Across Auctions, Cary Deck, Paan Jindapon, Tigran Melkonyan, Mark Schneider
ESI Working Papers
Studies of ambiguity perceptions and attitudes are moving beyond the Ellsberg urn to examine people’s responses to ambiguity in naturally occurring events, games, and financial markets. In this study, we measure ambiguity perceptions and attitudes for market prices and allocations in four classical auction formats (first-price and second-price sealed bid auctions, English and Dutch clock auctions). We find ambiguity attitudes, representing individual preferences, are stable across auctions. However, the perceived ambiguity surrounding auction prices is lowest for English clock auctions which are obviously strategyproof (OSP), followed by second-price auctions which are strategyproof (SP), followed by a tie between first-price and …
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 …
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.
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
We study the influence of cognitive abilities, in particular reaction time, trader intuition (Theory of Mind), and cognitive reflection abilities, on human participants’ individual earnings when competing alongside algorithmic traders in continuous double auctions. In balanced markets, where each human trader has an algorithmic trader clone with the same valuations or costs, faster human reaction time significantly improves trading performance, while Theory of Mind can be detrimental to human trading performance, particularly for sellers. For unbalanced markets with humans and algorithmic traders on opposite sides of the market, the effects of cognitive abilities depend on trader role as well as …
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.
Essays In Macroeconomics And Finance, 2024 The Graduate Center, City University of New York
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 …
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 …
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.
Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, 2024 Claremont Colleges
Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, Jackson Aldrich
CMC Senior Theses
This paper examines the impact of macroeconomic factors and the COVID-19 pandemic on new vehicle sales. In order to address these two topics, a two-pronged approach was used with separate regression models. The macroeconomic variables include monthly supply of new homes, CPI for urban public transportation, unemployment rate, disposable personal income, inflation expectation, consumer sentiment, average gas prices, and total vehicle miles traveled which were regressed on total vehicle sales from 1978-2022. The regression results confirmed and supported current literature and highlighted the importance of the housing market and unemployment rate on new vehicle sales. The COVID-19 pandemic model variables …
Determinants And Effects Of Offset Usage Within The California Cap-And-Trade System – A Firm-Level Analysis, 2024 Claremont Colleges
Determinants And Effects Of Offset Usage Within The California Cap-And-Trade System – A Firm-Level Analysis, Adarsh Srinivasan
CMC Senior Theses
This thesis examines the determinants of the usage of carbon offsets within the California cap-and-trade program for greenhouse gas emissions. It also investigates the relationship between a firm’s investment in offsets and its financials for publicly traded companies. Entity-level data from 2013 to 2020 was used, which was sourced from the California Air Resources Board. Multiple regression analysis was used to investigate factors that correlated with offset usage and whether offset usage correlated with EBITDA. Dummy variables indicating geographic location and economic sector of each entity were used as controls. The analysis found that total covered emissions and privately owned …
How Likely Is It That Omitted Variable Bias Will Overturn Your Results?, 2024 Department of Economics, UMass Amherst
How Likely Is It That Omitted Variable Bias Will Overturn Your Results?, Deepankar Basu
Economics Department Working Paper Series
Building on a recently developed methodology for sensitivity analysis that parametrizes omitted variable bias in terms of partial R-Squared measures, I propose a simple statistic to capture the severity of omitted variable bias in any observational study: the probability of omitted variable bias overturning the reported result. The central element of my proposal is formal covariate benchmarking, whereby researchers choose an observed regressor (or a group of observed regressors) to benchmark the relative strength of association of the omitted regressor with the outcome variable and with the treatment variable. These relative strengths of association function as the two sensitivity parameters …
The Estimation Of Production Functions With Monetary Values, 2024 De La Salle University, Manila
The Estimation Of Production Functions With Monetary Values, Jesus Felipe, John Mccombie, Aashish Mehta
Angelo King Institute for Economic and Business Studies (AKI)
For decades, the literature on the estimation of production functions has focused on the elimination of endogeneity biases through different estimation procedures to obtain the correct factor elasticities and other relevant parameters. Theoretical discussions of the problem correctly assume that production functions are relationships among physical inputs and output. However, in practice, they are most often estimated using deflated monetary values for output (value added or gross output) and capital. This introduces two additional problems—an errors-invariables problem, and a tendency to recover the factor shares in value added instead of their elasticities. The latter problem derives from the fact that …
National Integration And Institution Building, 2024 Old Dominion University
National Integration And Institution Building, Haiwen Zhou
Economics Faculty Publications
The mutual dependence between national integration and institution building is established in a formal model. It is shown that a decrease in transportation costs, but not necessarily an increase in population size, reduces the equilibrium number of states and the adoption of rule-based institutions. With endogenous transportation costs or endogenous population size, the unification process can feed on itself. The model is illustrated by the state of Qin's unification of China in 221 BC. During this process of national integration, transformations from relation-based governance to rule-based governance happened.
A Conditional Linear Combination Test With Many Weak Instruments, 2024 Singapore Management University
A Conditional Linear Combination Test With Many Weak Instruments, Dennis Lim, Wenjie Wang, Yichong Zhang
Research Collection School Of Economics
We consider a linear combination of jackknife Anderson-Rubin (AR) and orthogonalized Lagrangian multiplier (LM) tests for inference in IV regressions with many weak instruments and heteroskedasticity. We choose the weight in the linear combination based on a decision-theoretic rule that is adaptive to the identification strength. Under both weak and strong identifications, the proposed linear combination test controls asymptotic size and is admissible. Under strong identification, we further show that our linear combination test is the uniformly most powerful test against local alternatives among all tests that are constructed based on the jackknife AR and LM tests only and invariant …
Optimal Nonparametric Range-Based Volatility Estimation, 2024 Duke University
Optimal Nonparametric Range-Based Volatility Estimation, Tim Bollerslev, Jia Li, Qiyuan Li
Research Collection School Of Economics
We present a general framework for optimal nonparametric spot volatility estimation based on intraday range data, comprised of the first, highest, lowest, and last price over a given time-interval. We rely on a decision-theoretic approach together with a coupling-type argument to directly tailor the form of the nonparametric estimator to the specific volatility measure of interest and relevant loss function. The resulting new optimal estimators offer substantial efficiency gains compared to existing commonly used range-based procedures.
Equal Predictive Ability Tests Based On Panel Data With Applications To Oecd And Imf Forecasts, 2024 University Burgundy
Equal Predictive Ability Tests Based On Panel Data With Applications To Oecd And Imf Forecasts, Oguzhan Akgun, Alain Pirotte, Giovanni Urga, Zhenlin Yang
Research Collection School Of Economics
We propose two types of equal predictive ability (EPA) tests with panels to compare the predictions made by two forecasters. The first type, S-statistics, focuses on the overall EPA hypothesis, which states that the EPA holds, on average, over all panel units and over time. The second type, C-statistics, focuses on the clustered EPA hypothesis where the EPA holds jointly for a fixed number of clusters of panel units. The asymptotic properties of the proposed tests are evaluated under weak and strong cross-sectional dependence. An extensive Monte Carlo simulation shows that the proposed tests have very good finite sample properties, …
Robust Testing For Explosive Behavior With Strongly Dependent Errors, 2024 Singapore Management University
Robust Testing For Explosive Behavior With Strongly Dependent Errors, Yui 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 …
High-Dimensional Iv Cointegration Estimation And Inference, 2024 Singapore Management University
High-Dimensional Iv Cointegration Estimation And Inference, Peter C. B. Phillips, Igor L. Kheifets
Research Collection School Of Economics
A semiparametric triangular systems approach shows how multicointegrating linkages occur naturally in an I(1) cointegrated regression model when the long run error variance matrix in the system is singular. Under such singularity, cointegrated I(1) systems embody a multicointegrated structure that makes them useful in many empirical settings. Earlier work shows that such systems may be analyzed and estimated without appealing to the associated I(2) system but with suboptimal convergence rates and potential asymptotic bias. The present paper develops a robust approach to estimation and inference of such systems using high dimensional IV methods that have appealing asymptotic properties like those …