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Empirical likelihood change point detection in quantile regression models
Quantile regression is an extension of linear regression which estimates a conditional quantile of interest. In this paper, we propose an empirical...
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Feudal political economy
How is order achieved in a realm in which every elite commands both economic and military resources, and no stable institutions of power exist? We...
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Probabilistic models of profiles for voting by evaluation
Considering voting rules based on evaluation inputs rather than preference rankings modifies the paradigm of probabilistic studies of voting...
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Partitionable choice functions and stability
We consider the two-sided many-to-one matching problem and introduce a class of preferences reflecting natural forms of complementarities. For...
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A Time-Periodic Parabolic Eigenvalue Problem on Finite Networks and Its Applications
In this paper, we investigate the eigenvalue problem of a time-periodic parabolic operator on a finite network. The network under consideration can...
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Calling “Gevald”: on the emergence of negative election forecasts in partisan communications
Individuals were found to anonymously predict positive election outcomes for their preferred candidate. Yet, there is little scientific knowledge...
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Sophisticated reasoning, learning, and equilibrium in repeated games with imperfect feedback
We analyze the infinite repetition with imperfect feedback of a simultaneous or sequential game, assuming that players are strategically...
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Blame and praise: responsibility attribution patterns in decision chains
How do people attribute responsibility when an outcome is not caused by an individual but results from a decision chain involving several people? We...
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Persistence or decay of strategic asymmetric dominance in repeated dyadic games?
In a dyadic game, strategic asymmetric dominance occurs when a player’s preference for one strategy A relative to another B is systematically...
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Dynamically consistent menu preferences
We provide a unified analysis of dynamically consistent menu preferences in which an agent may exhibit a preference for flexibility, a preference for...
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State’s Role in Income Inequality: Social Preferences and Life Satisfaction
This study analyzes the determinants of life satisfaction in two social identity profiles according to whether the individual favors or is against...
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Padding and pruning: gerrymandering under turnout heterogeneity
Padding is the practice of adding nonvoters (e.g., noncitizens or disenfranchised prisoners) to an electoral district in order to ensure that the...
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Simulating the industrial revolution: a history-friendly model
In this paper, we present a first modelization of Allen’s argument on the British industrial revolution with a history-friendly model heuristic. To...
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Systemic Financial Risk of Stock Market Based on Multiscale Networks
This paper investigates the connectedness among 36 financial institutions in China from time–frequency perspective. Specifically, using MEMD and...
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Additive partial linear models with autoregressive symmetric errors and its application to the hospitalizations for respiratory diseases
Additive partial linear models with symmetric autoregressive errors of order p are proposed in this paper for modeling time series data....
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Generalized welfare lower bounds and strategyproofness in sequencing problems
In an environment with private information, we study the class of sequencing problems with welfare lower bounds. The “generalized welfare lower...
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Effects of international tourism on environmental quality and renewable energy use in Africa: a study of the moderating role of governance institutions
This study investigated how international tourism is impacting on environmental quality and renewable energy use in Africa, and how governance...
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Profile quasi-maximum likelihood estimation for semiparametric varying-coefficient spatial autoregressive panel models with fixed effects
This paper aims to propose a profile quasi-maximum likelihood estimation method for semiparametric varying-coefficient spatial autoregressive(SVCSAR)...
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Implementation of deep learning models in predicting ESG index volatility
The consideration of environmental, social, and governance (ESG) aspects has become an integral part of investment decisions for individual and...
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The power of news data in forecasting tail risk: evidence from China
This study investigates whether the inclusion of news information can help predict tail risk in the Chinese market. To quantify information from...
