Automated Syllabus of Game Theory Papers
Built by Rex W. Douglass @RexDouglass ; Github ; LinkedIn
Papers curated by hand, summaries and taxonomy written by LLMs.
Optimal Decision Making Under Uncertainty
> Optimizing Security Investments & Lobbying Channels
>> Optimal Security Investment Based on Breach Probability Function
- Carefully consider the properties of the security breach probability function when studying the optimal security investment for a single agent, as it can determine whether the optimal investment increases with the vulnerability of the agent and the expected loss, and ultimately affect the overall security of the network. (Lelarge 2012)
>> Quantifying Indirect Business-Politics Interactions via Advanced Analytics
- Carefully distinguish between direct and indirect lobbying channels when analyzing the relationship between business and politics, as indirect lobbying can be more challenging to detect and quantify due to its non-transparent nature. (DellaVigna et al. 2016)
> Information Disclosure Trade-Offs & Complexity in Experiments
>> Information Disclosure vs Noise Manipulation in School Rankings
- Carefully consider the trade-offs between information disclosure and noise in transcripts when evaluating student ability, as schools may intentionally introduce noise to manipulate the distribution of desirabilities of positions to which your students are matched in the job market. (Ostrovsky and Schwarz 2010)
>> Balancing Simplicity and Realism in Lab Experiments
- Consider conducting lab experiments that are complex enough to capture the main strategic tensions of a theory while being simple enough for participants to easily understand them, as demonstrated by the study investigating the unraveling predictions of voluntary information disclosure. (Jin, Luca, and Martin 2021)
>> Local Search Behavior Impacting Market Outcomes Post Policy Changes
- Carefully consider the role of local search behavior in shaping the heterogeneous impact of information disclosure policies on market outcomes. (Luco 2019)
> Advanced Techniques for Analyzing Complex Systems
>> Bayesian Analysis for Newsvendor Problem with Uncertain Demand
- Employ a Bayesian analysis with a non-informative prior to identify the optimal operational statistic for solving the newsvendor inventory control problem with uncertain demand. (Chu, Shanthikumar, and Shen 2008)
>> Combining IFT & MCS for Delayed Differentiation Analysis
- Consider combining the advantages of the Implicit Function Theorem (IFT) and Monotone Comparative Statics (MCS) approaches when analyzing complex systems involving delayed differentiation and uncertain market environments, as traditional methods may not be suitable for characterizing the impact of market size and firm productivity on the firms optimal policy. (Yang and Zhang 2022)
>> Monotonic Comparative Statics & Envelope Theorem Applications
- Consider using the principle of monotone comparative statics and the generalized envelope theorem to simplify complex models involving collusion, such as the three-tier agency model, and derive clearer and more robust implications for corporate governance reform. (NA?)
> Macroeconomic Modeling with Realistic Constraints and Extensions
>> Considerations of Market Imperfections in Economic Models
Carefully consider the impact of storability on consumer behavior and seller strategies, especially in the presence of nonlinear pricing schemes, as it can lead to significant changes in consumption patterns and surplus extraction. (Hendel, Lizzeri, and Roketskiy 2014)
Carefully consider the impact of monetary policy responses when estimating the government expenditure multiplier in New Keynesian models, particularly when prices or wages are sticky and the zero lower bound is a binding constraint on monetary policy. (Woodford 2011)
>> Improving Labor Market Models through Heterogeneity and Endogenization
Consider extending existing models to endogenize previously excluded variables, such as the labor force participation rate, in order to better capture complex economic phenomena like the Great Recession. (Christiano, Eichenbaum, and Trabandt 2015)
Leverage the power of “robust” comparative statics to analyze large dynamic economies, which provides generalizable insights into how stationary equilibria respond to exogenous shocks and changes in the distribution of idiosyncratic shocks, without requiring extensive simulation or numerical analysis. (Acemoglu and Jensen 2015)
Consider incorporating firm size heterogeneity into search and matching models with endogenous job destruction, as doing so can improve the models ability to explain various labor market phenomena, including the distributions of employer size and employment growth, cyclical fluctuations in worker flows, the negative comovement of unemployment and vacancies, and the dynamics of the distribution of employer size over the business cycle. (Elsby and Michaels 2013)
Consider incorporating a small risk of an economic disaster, following the work of Rietz (1988); Barro (2006); Gabaix (2012); and Gourio (2012), to better capture the possibility of a very large recession such as the Great Depression, and to examine its implications for business cycles. (Gourio 2013)
>> Incorporating Search Frictions and Endogeneity in Labor Markets
Consider incorporating endogenous processes, such as the impact of rising low-skill wages on the incentive to automate, in order to explain complex economic phenomena like increasing income inequality. (Hémous and Olsen 2022)
Carefully consider the role of search frictions and acceptance constraints in shaping participation decisions in skilled labor markets, as these factors can lead to counterintuitive comparative static properties and the possibility of underinvestment. (Bidner, Roger, and Moses 2016)
> Social Network Analysis & Behavioral Economics
>> Bayesian Modeling
Consider using a Bayesian approach to analyze the impact of learning and experimentation on decision-making processes, particularly in situations involving uncertainty and incomplete information. (Grossman, Kihlstrom, and Mirman 1977)
Account for differences in opinions among market participants, as these differences drive trade volume and impact asset prices, rather than assuming homogenous beliefs. (NA?)
>> Common Ownership Measurement: Overlap vs Concentration
>> Social Learning Dynamics in Complex Systems
Consider the impact of observational learning on consumer behavior, specifically how consumers decisions to investigate or purchase a product can be influenced by the choices of other consumers, leading to feedback effects that can amplify or diminish the success of a product. (Hendricks, Sorensen, and Wiseman 2012)
Carefully consider the impact of network topology on information aggregation, as the authors demonstrate that almost all reasonable social networks exhibit expanding observations, meaning that the probability of each individual observing the action of some individual from the recent past converges to one as the social network grows larger. This property, combined with unbounded private beliefs, is sufficient to ensure asymptotic learning in social networks. (Acemoglu et al. 2008)