{"title":"Cooperation under the shadow of political inequality","authors":"Yaroslav Rosokha , Xinxin Lyu , Denis Tverskoi , Sergey Gavrilets","doi":"10.1016/j.jedc.2024.104988","DOIUrl":"10.1016/j.jedc.2024.104988","url":null,"abstract":"<div><div>We study cooperation among individuals and groups facing a dynamic social dilemma in which the benefits of cooperation are divided according to political power obtained in a contest. The main theoretical and experimental results focus on the role of the incumbency advantage. Specifically, an incumbency advantage in the political contest leads to a rapid breakdown of cooperation in the social dilemma. In addition, we investigate whether groups behave differently than individuals and provide simulations based on the individual evolutionary learning model of Arifovic and Ledyard (2012) to shed light on the difference observed in the experiment.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104988"},"PeriodicalIF":1.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An individual evolutionary learning model meets Cournot","authors":"Jasmina Arifovic , Liang Diao , Nobuyuki Hanaki","doi":"10.1016/j.jedc.2024.104992","DOIUrl":"10.1016/j.jedc.2024.104992","url":null,"abstract":"<div><div>We extend the individual evolutionary learning model by incorporating other-regarding considerations and apply the model to some Cournot games. Using a model fitted to the experimental data of a repeated three-player Cournot game (with non-linear cost and demand functions), we provide out-of-sample predictions regarding the “feedback effects” and “number effects” and test them using the data gathered via newly conducted experiments. The prediction regarding the feedback effect is partially confirmed. Namely, it is observed for the three- and four-player games, but not the two-player game. The prediction regarding the number effect is also partially confirmed in that while the model predicts the number effect to be observed with detailed feedback, and not under aggregate feedback, the effect is observed with both types of feedback.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104992"},"PeriodicalIF":1.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alex Grimaud , Isabelle Salle , Gauthier Vermandel
{"title":"A Dynare toolbox for social learning expectations","authors":"Alex Grimaud , Isabelle Salle , Gauthier Vermandel","doi":"10.1016/j.jedc.2024.104984","DOIUrl":"10.1016/j.jedc.2024.104984","url":null,"abstract":"<div><div>Social learning (SL) is a behavioral model in which expectations and the resulting aggregate dynamics stem from the interactions of a large number of heterogeneous agents. Nonetheless, this framework has so far lacked a parsimonious development with a general-solution method. This paper bridges this gap and introduces a <span>Dynare</span> toolbox to solve any linear state-space model with SL expectations, opening up a wide range of potential applications. As an illustration, optimal monetary policy rules are studied in a microfounded New Keynesian (NK) model under SL and rational expectations (RE).</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104984"},"PeriodicalIF":1.9,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is monetary and fiscal policy conflict that dire?","authors":"Jeremy Kronick , Luba Petersen","doi":"10.1016/j.jedc.2024.104982","DOIUrl":"10.1016/j.jedc.2024.104982","url":null,"abstract":"<div><div>Theory predicts that inflation can become unstable when policymakers are in conflict about their post-recession recovery strategies, with the fiscal authority actively borrowing and spending to stimulate economic growth while the monetary authority raises interest rates to tame inflation. Such policy conflict can generate a debt-inflation spiral when agents are forward-looking. We show that the dire effects of policy conflict are less concerning when agents form backward-looking expectations. We then test this prediction in a learning-to-forecast experiment. Our results suggest that policy conflict does not necessarily lead to worse economic outcomes. This finding is driven by the fact that agents rely mostly on recent macroeconomic trends to formulate their expectations and do not meaningfully factor the government debt level or future regime shifts into their expectations.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104982"},"PeriodicalIF":1.9,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jasmina Arifovic , Herbert Dawid , Mariam Nanumyan
{"title":"Efficiency gains through social influence in a minimum effort game","authors":"Jasmina Arifovic , Herbert Dawid , Mariam Nanumyan","doi":"10.1016/j.jedc.2024.104977","DOIUrl":"10.1016/j.jedc.2024.104977","url":null,"abstract":"<div><div>We explore the role of social influence in coordinating effort choice in a game with strategic complementarities. Agents are repeatedly randomly partitioned into groups to play a minimum effort game and choose their effort based on their beliefs about the minimal effort among the other group members. Individual expectations about this minimal effort are influenced by their own experience and by communication of beliefs within a social network. We show that increasing the importance of social influence in the expectation formation process has positive effects on the emerging (long-run) effort level, thereby improving the efficiency of the outcome. Furthermore, a more centralized social network leads to higher average efficiency, but also to increased variance of outcomes. Communication of actual minimum effort cannot replace the communication of beliefs as a device fostering the emergence of high long-run effort.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104977"},"PeriodicalIF":1.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sources of artificial intelligence","authors":"Thomas J. Sargent","doi":"10.1016/j.jedc.2024.104989","DOIUrl":"10.1016/j.jedc.2024.104989","url":null,"abstract":"<div><div>This paper describes limits of human intelligence and how humans invented artificial intelligence and machine learning. It explores the paradoxical situation that the tools that data scientists have used to develop artificial intelligence are about subjects in which we humans have hard-wired cognitive challenges that mislead us.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104989"},"PeriodicalIF":1.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cars Hommes , Mario He , Sebastian Poledna , Melissa Siqueira , Yang Zhang
{"title":"CANVAS: A Canadian behavioral agent-based model for monetary policy","authors":"Cars Hommes , Mario He , Sebastian Poledna , Melissa Siqueira , Yang Zhang","doi":"10.1016/j.jedc.2024.104986","DOIUrl":"10.1016/j.jedc.2024.104986","url":null,"abstract":"<div><div>We develop the Canadian behavioral Agent-Based Model (CANVAS) that complements traditional macroeconomic models for forecasting and monetary policy analysis. CANVAS represents a next-generation modeling effort featuring enhancements in three dimensions: introducing household and firm heterogeneity, departing from rational expectations, and modeling price and quantity setting heuristics within a production network. The expanded modeling capacity is achieved by harnessing large-scale Canadian micro- and macroeconomic datasets and incorporating adaptive learning and simple heuristics. The out-of-sample forecasting performance of CANVAS is found to be competitive with a benchmark vector auto-regressive (VAR) model and a DSGE model. When applied to analyze the COVID-19 pandemic episode, our model helps explain both the macroeconomic movement and the interplay between expectation formation and cost-push shocks. CANVAS is one of the first macroeconomic agent-based models applied by a central bank to support projection and alternative scenarios, marking an advancement in the toolkit of central banks and enriching monetary policy analysis.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104986"},"PeriodicalIF":1.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Introduction to the special issue on computational and experimental economics in memory of Jasmina Arifovic","authors":"Herbert Dawid , Cars Hommes , Luba Petersen","doi":"10.1016/j.jedc.2024.104978","DOIUrl":"10.1016/j.jedc.2024.104978","url":null,"abstract":"","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104978"},"PeriodicalIF":1.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning integrated inflation forecasts in a simple multi-agent macroeconomic model","authors":"Blake LeBaron , Karen Smith","doi":"10.1016/j.jedc.2024.104979","DOIUrl":"10.1016/j.jedc.2024.104979","url":null,"abstract":"<div><div>This paper implements a model with a population of heterogeneous macro forecasters. Their objectives are to forecast output and inflation, both inputs in standard New Keynesian macro models. The model is implemented by first calibrating the agents to professional forecasters at the micro level. Model runs then try to replicate both the dynamics, bias and cross sectional heterogeneity of forecasts and the economy. These are done both in a model with static forecasters, and one where the forecasters are learning from each other in a social fashion. We find that expectations about the inflation process which conjecture near random walk behavior can be self-fulfilling, yielding inflation volatility and persistence on the order of magnitude of U.S. macro data. However, our forecasting populations often fall short of the heterogeneity of predictions from survey data. In some cases, monetary policy can be used to shift the model from its volatile/persistent equilibrium over to a more stable, strongly mean reverting inflation rate.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104979"},"PeriodicalIF":1.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling noisy learning in a dynamic oligopoly experiment","authors":"Felix Mauersberger , Rosemarie Nagel","doi":"10.1016/j.jedc.2024.104981","DOIUrl":"10.1016/j.jedc.2024.104981","url":null,"abstract":"<div><div>Estimating demand before production poses a significant challenge for many industries, including vaccine manufacturing, newspapers, and perishable foods. Both industry professionals and experimental subjects in laboratory settings often struggle to determine optimal production. This paper sheds light on the cognitive processes that explain individuals' inability to act optimally, using data from <span><span>Nagel and Vriend, 1999a</span></span>, <span><span>Nagel and Vriend, 1999b</span></span>. In their experiment, participants, acting as firms, set production levels without prior knowledge of the demand generated by own and competitors' advertising efforts. We first reexamine their two-step learning model, which involves directional learning for production levels and a hill-climbing algorithm for advertising, utilizing exogenous adjustment size distributions. We improve upon this model, inspired by the macroeconomic learning literature, with agents using constant gain learning for production decisions and hill climbing for advertising decisions with endogenous adjustments. We demonstrate that our model provides a better fit to the data than the original model by <span><span>Nagel and Vriend (1999a)</span></span> and yields superior out-of-sample forecasts, both for one-period-ahead predictions and simulated paths.</div></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"172 ","pages":"Article 104981"},"PeriodicalIF":1.9,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}