We develop a theory of how an agent makes basic multiproduct consumption decisions in the presence of taste, consumption opportunity, and price shocks that are costly to attend to. We establish that the agent often simplifies her choices by restricting attention to a few important considerations, which depend on the decision at hand and affect her consumption patterns in specific ways. If the agent’s problem is to choose the consumption levels of many goods with different degrees of substitutability, then she may create mental budgets for more substitutable products (e.g., entertainment). In some situations, it is optimal to specify budgets in terms of consumption quantities, but when most products have an abundance of substitutes, specifying budgets in terms of nominal spending tends to be optimal. If the goods are complements, in contrast, then the agent may—consistent with naive diversification—choose a fixed, unconsidered mix of products. And if the agent’s problem is to choose one of multiple products to fulfill a given consumption need (e.g., for gasoline or a bed), then it is often optimal for her to allocate a fixed sum for the need. JEL Codes: D01, D11, D14
{"title":"Choice Simplification: A Theory of Mental Budgeting and Naive Diversification*","authors":"B. Kőszegi, Filip Matějka","doi":"10.1093/qje/qjz043","DOIUrl":"https://doi.org/10.1093/qje/qjz043","url":null,"abstract":"We develop a theory of how an agent makes basic multiproduct consumption decisions in the presence of taste, consumption opportunity, and price shocks that are costly to attend to. We establish that the agent often simplifies her choices by restricting attention to a few important considerations, which depend on the decision at hand and affect her consumption patterns in specific ways. If the agent’s problem is to choose the consumption levels of many goods with different degrees of substitutability, then she may create mental budgets for more substitutable products (e.g., entertainment). In some situations, it is optimal to specify budgets in terms of consumption quantities, but when most products have an abundance of substitutes, specifying budgets in terms of nominal spending tends to be optimal. If the goods are complements, in contrast, then the agent may—consistent with naive diversification—choose a fixed, unconsidered mix of products. And if the agent’s problem is to choose one of multiple products to fulfill a given consumption need (e.g., for gasoline or a bed), then it is often optimal for her to allocate a fixed sum for the need. JEL Codes: D01, D11, D14","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"135 1","pages":"1153-1207"},"PeriodicalIF":13.7,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/qje/qjz043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49621679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Building on a textbook description of associative memory (Kahana 2012), we present a model of choice in which a choice option cues recall of similar past experiences. Memory shapes valuation and decisions in two ways. First, recalled experiences form a norm, which serves as an initial anchor for valuation. Second, salient quality and price surprises relative to the norm lead to large adjustments in valuation. The model unifies many well-documented choice puzzles, including the attribution and projection biases, inattention to hidden attributes, background contrast effects, and context-dependent willingness to pay. Unifying these puzzles on the basis of selective memory and attention to surprise yields multiple new predictions.
{"title":"Memory, Attention, and Choice*","authors":"P. Bordalo, N. Gennaioli, A. Shleifer","doi":"10.1093/qje/qjaa007","DOIUrl":"https://doi.org/10.1093/qje/qjaa007","url":null,"abstract":"\u0000 Building on a textbook description of associative memory (Kahana 2012), we present a model of choice in which a choice option cues recall of similar past experiences. Memory shapes valuation and decisions in two ways. First, recalled experiences form a norm, which serves as an initial anchor for valuation. Second, salient quality and price surprises relative to the norm lead to large adjustments in valuation. The model unifies many well-documented choice puzzles, including the attribution and projection biases, inattention to hidden attributes, background contrast effects, and context-dependent willingness to pay. Unifying these puzzles on the basis of selective memory and attention to surprise yields multiple new predictions.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":" ","pages":""},"PeriodicalIF":13.7,"publicationDate":"2020-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/qje/qjaa007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42266749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We study patterns of behavior in bilateral bargaining situations using a rich, new dataset describing over 88 million listings from eBay's Best Offer platform, with back-and-forth bargaining occurring in over 25 million of these listings. We document patterns of behavior and relate them to "rational" and "psychological" theories of bargaining and find that bargaining patterns are consistent with elements of both approaches. Most notably, players with more bargaining strength typically receive better outcomes, and players exhibit equitable behavior by making offers that split-the-difference between negotiating positions. We are publicly releasing this new dataset to support additional empirical bargaining research.
我们使用一个丰富的新数据集来研究双边讨价还价情况下的行为模式，该数据集描述了eBay Best Offer平台上超过8800万件物品，其中超过2500万件物品中发生了来回讨价还价。我们记录了行为模式，并将其与议价的“理性”和“心理”理论联系起来，发现议价模式与两种方法的要素是一致的。最值得注意的是，具有更强议价能力的玩家通常会获得更好的结果，并且玩家通过在谈判立场之间提供折中方案而表现出公平的行为。我们公开发布这个新数据集，以支持额外的实证议价研究。
{"title":"Sequential Bargaining in the Field: Evidence from Millions of Online Bargaining Interactions*","authors":"M. Backus, Thomas Blake, B. Larsen, S. Tadelis","doi":"10.1093/QJE/QJAA003","DOIUrl":"https://doi.org/10.1093/QJE/QJAA003","url":null,"abstract":"We study patterns of behavior in bilateral bargaining situations using a rich, new dataset describing over 88 million listings from eBay's Best Offer platform, with back-and-forth bargaining occurring in over 25 million of these listings. We document patterns of behavior and relate them to \"rational\" and \"psychological\" theories of bargaining and find that bargaining patterns are consistent with elements of both approaches. Most notably, players with more bargaining strength typically receive better outcomes, and players exhibit equitable behavior by making offers that split-the-difference between negotiating positions. We are publicly releasing this new dataset to support additional empirical bargaining research.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"135 1","pages":"1319-1361"},"PeriodicalIF":13.7,"publicationDate":"2020-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/QJE/QJAA003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43903947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pablo D. Fajgelbaum, P. Goldberg, P. Kennedy, A. Khandelwal
After decades of supporting free trade, in 2018 the United States raised import tariffs and major trade partners retaliated. We analyze the short-run impact of this return to protectionism on the U.S. economy. Import and retaliatory tariffs caused large declines in imports and exports. Prices of imports targeted by tariffs did not fall, implying complete pass-through of tariffs to duty-inclusive prices. The resulting losses to U.S. consumers and firms that buy imports was $51 billion, or 0.27% of GDP. We embed the estimated trade elasticities in a general-equilibrium model of the U.S. economy. After accounting for tariff revenue and gains to domestic producers, the aggregate real income loss was $7.2 billion, or 0.04% of GDP. Import tariffs favored sectors concentrated in politically competitive counties, and the model implies that tradeable-sector workers in heavily Republican counties were the most negatively affected due to the retaliatory tariffs. JEL Code: F1.
{"title":"The Return to Protectionism*","authors":"Pablo D. Fajgelbaum, P. Goldberg, P. Kennedy, A. Khandelwal","doi":"10.1093/QJE/QJZ036","DOIUrl":"https://doi.org/10.1093/QJE/QJZ036","url":null,"abstract":"After decades of supporting free trade, in 2018 the United States raised import tariffs and major trade partners retaliated. We analyze the short-run impact of this return to protectionism on the U.S. economy. Import and retaliatory tariffs caused large declines in imports and exports. Prices of imports targeted by tariffs did not fall, implying complete pass-through of tariffs to duty-inclusive prices. The resulting losses to U.S. consumers and firms that buy imports was $51 billion, or 0.27% of GDP. We embed the estimated trade elasticities in a general-equilibrium model of the U.S. economy. After accounting for tariff revenue and gains to domestic producers, the aggregate real income loss was $7.2 billion, or 0.04% of GDP. Import tariffs favored sectors concentrated in politically competitive counties, and the model implies that tradeable-sector workers in heavily Republican counties were the most negatively affected due to the retaliatory tariffs. JEL Code: F1.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"135 1","pages":"1-55"},"PeriodicalIF":13.7,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/QJE/QJZ036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44203365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paul J. Eliason, Benjamin Heebsh, R. McDevitt, James W. Roberts
Many industries have become increasingly concentrated through mergers and acquisitions, which in health care may have important consequences for spending and outcomes. Using a rich panel of Medicare claims data for nearly one million dialysis patients, we advance the literature on the effects of mergers and acquisitions by studying the precise ways providers change their behavior following an acquisition. We base our empirical analysis on more than 1,200 acquisitions of independent dialysis facilities by large chains over a 12-year period and find that chains transfer several prominent strategies to the facilities they acquire. Most notably, acquired facilities converge to the behavior of their new parent companies by increasing patients’ doses of highly reimbursed drugs, replacing high-skill nurses with less-skilled technicians, and waitlisting fewer patients for kidney transplants. We then show that patients fare worse as a result of these changes: outcomes such as hospitalizations and mortality deteriorate, with our long panel allowing us to identify these effects from within-facility or within-patient variation around the acquisitions. Because overall Medicare spending increases at acquired facilities, mostly as a result of higher drug reimbursements, this decline in quality corresponds to a decline in value for payers. We conclude the article by considering the channels through which acquisitions produce such large changes in provider behavior and outcomes, finding that increased market power cannot explain the decline in quality. Rather, the adoption of the acquiring firm’s strategies and practices drives our main results, with greater economies of scale for drug purchasing responsible for more than half of the change in profits following an acquisition.
{"title":"How Acquisitions Affect Firm Behavior and Performance: Evidence from the Dialysis Industry*","authors":"Paul J. Eliason, Benjamin Heebsh, R. McDevitt, James W. Roberts","doi":"10.1093/qje/qjz034","DOIUrl":"https://doi.org/10.1093/qje/qjz034","url":null,"abstract":"Many industries have become increasingly concentrated through mergers and acquisitions, which in health care may have important consequences for spending and outcomes. Using a rich panel of Medicare claims data for nearly one million dialysis patients, we advance the literature on the effects of mergers and acquisitions by studying the precise ways providers change their behavior following an acquisition. We base our empirical analysis on more than 1,200 acquisitions of independent dialysis facilities by large chains over a 12-year period and find that chains transfer several prominent strategies to the facilities they acquire. Most notably, acquired facilities converge to the behavior of their new parent companies by increasing patients’ doses of highly reimbursed drugs, replacing high-skill nurses with less-skilled technicians, and waitlisting fewer patients for kidney transplants. We then show that patients fare worse as a result of these changes: outcomes such as hospitalizations and mortality deteriorate, with our long panel allowing us to identify these effects from within-facility or within-patient variation around the acquisitions. Because overall Medicare spending increases at acquired facilities, mostly as a result of higher drug reimbursements, this decline in quality corresponds to a decline in value for payers. We conclude the article by considering the channels through which acquisitions produce such large changes in provider behavior and outcomes, finding that increased market power cannot explain the decline in quality. Rather, the adoption of the acquiring firm’s strategies and practices drives our main results, with greater economies of scale for drug purchasing responsible for more than half of the change in profits following an acquisition.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"135 1","pages":"221-267"},"PeriodicalIF":13.7,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/qje/qjz034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46567614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We study the persuasive effects of political advertising. Our empirical strategy exploits FCC regulations that result in plausibly exogenous variation in the number of impressions across the borders of neighboring counties. Applying this approach to detailed data on television advertisement broadcasts and viewership patterns during the 2004–12 presidential campaigns, our results indicate that total political advertising has almost no impact on aggregate turnout. By contrast, we find a positive and economically meaningful effect of advertising on candidates’ vote shares. Taken at face value, our estimates imply that a one standard deviation increase in the partisan difference in advertising raises the partisan difference in vote shares by about 0.5 percentage points. Evidence from a regression discontinuity design suggests that advertising affects election results by altering the partisan composition of the electorate.
{"title":"Political Advertising and Election Results","authors":"Jörg L. Spenkuch, D. Toniatti","doi":"10.1093/QJE/QJY010","DOIUrl":"https://doi.org/10.1093/QJE/QJY010","url":null,"abstract":"We study the persuasive effects of political advertising. Our empirical strategy exploits FCC regulations that result in plausibly exogenous variation in the number of impressions across the borders of neighboring counties. Applying this approach to detailed data on television advertisement broadcasts and viewership patterns during the 2004–12 presidential campaigns, our results indicate that total political advertising has almost no impact on aggregate turnout. By contrast, we find a positive and economically meaningful effect of advertising on candidates’ vote shares. Taken at face value, our estimates imply that a one standard deviation increase in the partisan difference in advertising raises the partisan difference in vote shares by about 0.5 percentage points. Evidence from a regression discontinuity design suggests that advertising affects election results by altering the partisan composition of the electorate.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"133 1","pages":"1981-2036"},"PeriodicalIF":13.7,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/QJE/QJY010","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43271819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article studies how a recommender system may incentivize users to learn about a product collaboratively. To improve the incentives for early exploration, the optimal design trades off fully transparent disclosure by selectively overrecommending the product (or “spamming”) to a fraction of users. Under the optimal scheme, the designer spams very little on a product immediately after its release but gradually increases its frequency; she stops it altogether when she becomes sufficiently pessimistic about the product. The recommender’s product research and intrinsic/naive users “seed” incentives for user exploration and determine the speed and trajectory of social learning. Potential applications for various Internet recommendation platforms and implications for review/ratings inflation are discussed.
{"title":"Recommender Systems as Mechanisms for Social Learning","authors":"Yeon-Koo Che, Johannes Hörner","doi":"10.1093/QJE/QJX044","DOIUrl":"https://doi.org/10.1093/QJE/QJX044","url":null,"abstract":"This article studies how a recommender system may incentivize users to learn about a product collaboratively. To improve the incentives for early exploration, the optimal design trades off fully transparent disclosure by selectively overrecommending the product (or “spamming”) to a fraction of users. Under the optimal scheme, the designer spams very little on a product immediately after its release but gradually increases its frequency; she stops it altogether when she becomes sufficiently pessimistic about the product. The recommender’s product research and intrinsic/naive users “seed” incentives for user exploration and determine the speed and trajectory of social learning. Potential applications for various Internet recommendation platforms and implications for review/ratings inflation are discussed.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"5 2","pages":"871-925"},"PeriodicalIF":13.7,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/QJE/QJX044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41289395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper combines tax, survey, and national accounts data to estimate the distribution of national income in the United States since 1913. Our distributional national accounts capture 100% of national income, allowing us to compute growth rates for each quantile of the income distribution consistent with macroeconomic growth. We estimate the distribution of both pre-tax and post-tax income, making it possible to provide a comprehensive view of how government redistribution affects inequality. Average pre-tax national income per adult has increased 60% since 1980, but we find that it has stagnated for the bottom 50% of the distribution at about $16,000 a year. The pre-tax income of the middle class—adults between the median and the 90th percentile—has grown 40% since 1980, faster than what tax and survey data suggest, due in particular to the rise of tax-exempt fringe benefits. Income has boomed at the top: in 1980, top 1% adults earned on average 27 times more than bottom 50% adults, while they earn 81 times more today. The upsurge of top incomes was first a labor income phenomenon but has mostly been a capital income phenomenon since 2000. The government has offset only a small fraction of the increase in inequality. The reduction of the gender gap in earnings has mitigated the increase in inequality among adults. The share of women, however, falls steeply as one moves up the labor income distribution, and is only 11% in the top 0.1% today.
{"title":"Distributional,National,Accounts: Methods,and,Estimates,for,the,United,States","authors":"T. Piketty, Emmanuel Saez, G. Zucman","doi":"10.1093/QJE/QJX043","DOIUrl":"https://doi.org/10.1093/QJE/QJX043","url":null,"abstract":"This paper combines tax, survey, and national accounts data to estimate the distribution of national income in the United States since 1913. Our distributional national accounts capture 100% of national income, allowing us to compute growth rates for each quantile of the income distribution consistent with macroeconomic growth. We estimate the distribution of both pre-tax and post-tax income, making it possible to provide a comprehensive view of how government redistribution affects inequality. Average pre-tax national income per adult has increased 60% since 1980, but we find that it has stagnated for the bottom 50% of the distribution at about $16,000 a year. The pre-tax income of the middle class—adults between the median and the 90th percentile—has grown 40% since 1980, faster than what tax and survey data suggest, due in particular to the rise of tax-exempt fringe benefits. Income has boomed at the top: in 1980, top 1% adults earned on average 27 times more than bottom 50% adults, while they earn 81 times more today. The upsurge of top incomes was first a labor income phenomenon but has mostly been a capital income phenomenon since 2000. The government has offset only a small fraction of the increase in inequality. The reduction of the gender gap in earnings has mitigated the increase in inequality among adults. The share of women, however, falls steeply as one moves up the labor income distribution, and is only 11% in the top 0.1% today.","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"133 1","pages":"553-609"},"PeriodicalIF":13.7,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/QJE/QJX043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47820339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Angrist, Peter Hull, Parag A. Pathak, Christopher R. Walters
{"title":"Erratum to “Leveraging Lotteries for School Value-Added: Testing and Estimation”","authors":"J. Angrist, Peter Hull, Parag A. Pathak, Christopher R. Walters","doi":"10.1093/qje/qjx036","DOIUrl":"https://doi.org/10.1093/qje/qjx036","url":null,"abstract":"","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"132 1","pages":"2061-2062"},"PeriodicalIF":13.7,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/qje/qjx036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46437361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erratum to “Field of Study, Earnings, and Self-Selection”","authors":"L. Kirkebøen, E. Leuven, M. Mogstad","doi":"10.1093/QJE/QJX025","DOIUrl":"https://doi.org/10.1093/QJE/QJX025","url":null,"abstract":"","PeriodicalId":48470,"journal":{"name":"Quarterly Journal of Economics","volume":"132 1","pages":"1551-1552"},"PeriodicalIF":13.7,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/QJE/QJX025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46876122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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