This paper evaluates (i) the transmission of global uncertainty shocks to the expectations of professionals and disagreement among them and (ii) the relevance of policy choices in open economies in the context of the impossible trinity. Relying on a large set of survey data covering a wide range of expected macroeconomic outcomes for 33 countries, we establish evidence for an expectation channel of global uncertainty shocks. Global uncertainty exerts significant and adverse effects on expectations over domestic macroeconomic outcomes across the board and also frequently spills over to disagreement over these outcomes, increasing domestic uncertainty. Finally, we identify nonlinear relationships between the policy choices in an open economy and the transmission of uncertainty shocks. Policy choices affect the expected downswing in GDP in the aftermath of uncertainty shocks, the expected response of monetary policy, and the exchange rate and disagreement over future macroeconomic outcomes.

This paper examines the effects of heterogeneous biased expectations between the young and old on business cycles and explores its policy implications. Empirical findings reveal that individuals, particularly the young, can have more optimistic or pessimistic views about the future state of the economy compared to the data-generating measure. This study relates these results to the learning-from-experience literature, which suggests that individuals, particularly the young, place greater weight on recent observations when forming their expectations. Incorporating household weighting schemes into a life-cycle learning model, I show that household sensitivity to recent observations amplifies the effects of economic shocks. However, the amplification effects become less extensive as the population ages due to the lower sensitivity of the old. My simulation results indicate that a 10 percentage point increase in the old population ratio leads to a 16 percent decrease in output volatility. Regarding policy implications, this paper suggests that the government spending multiplier declines by approximately 10 percent when the old population ratio rises by 10 percentage points due to weak amplification effects. Moreover, the weakened output effects deteriorate the welfare of the population, particularly that of the young.

This paper distinguishes news about short-lived events from news about changes in longer term prospects using surveys of expectations. Employing a multivariate GARCH-in-Mean model for the US, the paper illustrates how the different types of news influence business cycle dynamics. The influence of transitory output shocks can be relatively large on impact but gradually diminishes over two to three years. Permanent shocks drive the business cycle, generating immediate stock price reactions and gradually building output effects, although they have more immediate output effects during recessions through the uncertainties they create. Markedly different macroeconomic dynamics are found if these explicitly identified types of news or uncertainty feedbacks are omitted from the analysis.

The adoption of fungus-resistant grapevines may be a key strategy for substantially reducing fungicide use in pesticide-intensive viticulture. In a representative survey conducted among 436 grapevine growers in Switzerland, we elicited growers’ expected share of land devoted to fungus-resistant varieties in ten years. More specifically, using regression analyses, we explore the main predictors behind the stated adoption intentions. We find that one-third of new plantings in the next decade will be fungus-resistant varieties. As a result, the expected share of land devoted to fungus-resistant varieties in ten years is 27.4% (compared to 10.2% in 2022), thus increasing by 169%. Farmer- and farm characteristics explain most of the adoption dynamics, especially growers’ beneficial health perceptions about fungus-resistant varieties, which correlate positively with their expected land share devoted to these varieties. Moreover, non-organic grapevine growers are particularly likely to increase their land devoted to these varieties. These findings have important implications for agricultural policy and industry in Europe and elsewhere, facilitating the expected plantation increase using a policy mix tailored to farmer- and farm-level characteristics.

Experimental evidence shows that human subjects frequently rely on adaptive heuristics to form expectations but their forecasting performance in the lab is not as inadequate as assumed in macroeconomic theory. In this paper, we use an agent-based model (ABM) to show that the average forecasting error is indeed close to zero even in a complex environment if we assume that agents augment the canonical adaptive algorithm with a Belief Correction term which takes into account the previous trend of the variable of interest. We investigate the reasons for this result using a streamlined nonlinear macro-dynamic model that captures the essence of the ABM.

The profitability of U.S. meat producers and the utility of U.S. meat consumers are impacted by the trade of meat. USDA publishes the most prominent publicly available meat trade projections. This study finds USDA projections typically underpredict meat export volumes and overpredict meat import volumes. USDA projections outperform naïve projections for beef and pork exports, but naïve projections at times outperform USDA projections for chicken exports and beef and pork imports, especially at shorter horizons. USDA projections exclude variety cuts, which comprise a sizeable share of beef and pork exports. There remains room for improvement in projecting U.S. meat trade.

This article examines if professional forecasters form their expectations regarding the policy rate of the European Central Bank (ECB) consistent with the Taylor rule. In doing so, we assess micro-level data including individual forecasts for the ECB main refinancing operations rate as well as inflation and gross domestic product (GDP) growth for the Euro Area. Our results indicate that professionals indeed form their expectations in line with the Taylor rule. However, this connection has diminished over time, especially after the policy rate hit the zero lower bound. In addition, we also find a relationship between forecasters’ disagreement regarding the policy rate of the ECB and disagreement on future GDP growth, which disappears when controlling for monetary policy shocks proxied by changes in the policy rate in the quarter the forecasts are made.

This paper examines the effectiveness of forward guidance shocks in the US. We estimate a New Keynesian model with imperfect central bank credibility and heterogeneous expectations using Bayesian methods and survey data from the Survey of Professional Forecasters (SPF). The results provide important takeaways: (1) The estimated credibility of the Fed’s forward guidance announcements is relatively high, but anticipation effects are attenuated. Accordingly, output and inflation do not respond as favorably as in the fully credible counterfactual. (2) The so-called “forward guidance puzzle” arises partly from the unrealistically large responses of macroeconomic variables to forward guidance under perfect credibility and homogeneous fully informed rational expectations, assumptions which are found to be jointly inconsistent with the observed US data. (3) Imperfect credibility provides a plausible explanation for the empirical evidence of forecasting error predictability based on forecasting disagreement found in the SPF data. Thus, we show that accounting for imperfect credibility and forecasting disagreements is important to understand the formation of expectations and the transmission mechanism of forward guidance.

On average, childless women observed by the Panel Study of Income Dynamics report that they intend to have more children than they actually have. A collection of intentions that record only whether respondents intend to have another child can more accurately predict the number of children they have. Errors in the formation of intentions are not required to explain this finding. Rather, if intentions record a survey respondent's most likely predicted number of children, then the average of these intentions does not necessarily equal average actual fertility, even if intentions are formed using rational expectations.

This study examines the accuracy of United States Department of Agriculture (USDA) crop Acreage and Production forecasts for corn, soybeans, and winter wheat relative to their private counterparts over 1970–2019. Our main findings suggest that USDA forecasts often had significantly smaller errors than their private counterparts. The accuracy of both USDA and private forecasts has improved over time, but the accuracy of USDA forecasts has improved more than that of private forecasts, maintaining the USDA’s relative accuracy advantage. The accuracy advantage of Prospective Plantings and Acreage reports highlights the importance of survey-based approaches used for these forecasts.

The expectations of economic agents play a crucial role in almost any inter-temporal economic model. Using 2009–12 panel data for a representative sample of the Dutch population, we analyze consumers’ income and pension expectations. We focus on heterogeneity across socioeconomic groups and associations with how consumers perceive the economic and financial crisis. We find that pension expectations become more pessimistic over the 4 years, in line with pension reforms and the crisis. We find substantial differences across groups that are generally plausible and in line with financial theory.

Production function models for cotton lint yields, seed yields, turnout, and lint quality characteristics are developed for the Texas High Plains. They are used to evaluate the impacts of quality considerations and of climate/weather information on the management decisions and on the profitability and risk of irrigated cotton production systems. It is concluded that both quality considerations and improved climatic/weather information could have substantial effects on expected profitability and risk. These effects mainly occur because of changes in optimal variety selection and irrigation water use levels. Quality considerations in particular result in significantly lower irrigation water use levels regardless of the climate/weather information assumption, which has important scarce-resource use implications for the Texas High Plains.

Benefit-cost analysis (BCA), a discipline best known for guiding policy choices, can also guide personal decisions. In either application, traditional BCA tallies benefits and costs using market values or willingness to pay. When future outcomes are uncertain, as they are across a wide array of situations, BCA must call as well on the methods of decision analysis. Thus, von Neumann–Morgenstern utilities, subjective probabilities, and sequential decision strategies are brought into play.

Traditional decision analysis distinguishes between risk and uncertainty. With risk, the probabilities of possible outcomes are known; with uncertainty, those outcomes are known, but not their probabilities. We introduce the concept of ignorance: a third, less tractable category. With ignorance, even the possible outcomes of decisions cannot be identified. Ignorance takes particular importance when high payoffs are associated with these unidentified outcomes, as is often the case. We identify such outcomes as consequential amazing developments (CADs). In the policy realm, the 2008 financial meltdown or the Arab Spring would represent a CAD. For an individual, a CAD might be that one’s secure tenured position had been inexplicably terminated, or that one’s trusted business partner had long been shuttling corporate secrets to a competitor. We distinguish between unrecognized and recognized ignorance. In the latter category, we identify specific cognitive biases that impair decision making.

Consequential ignorance cannot be studied in a controlled laboratory setting, since its payoffs are high, its time delays often long, and merely introducing the subject would tend to give away the game. Thus we develop a descriptive understanding of ignorance drawing on great works of literature, from antiquity to the present day, positing that skilled writers understand how humans make decisions and respond to unanticipated outcomes. Shakespearean examples would be Hamlet’s ignorance of his father’s killer, and Macbeth’s lack of awareness of the tragic ramifications following his actions to seize the Scottish crown.

Following this descriptive analysis, we turn to prescription. We draw on decision analysis to develop a formula for calculating consequential ignorance; it incorporates the expected magnitudes and assessed base rates for CADs. Finally, we propose a decision-analytic framework for measured decision making, given ignorance. Our recommended approach explicitly recognizes decision-making costs, and thus proposes when to use quick and intuitive as opposed to more deliberative approaches to decision, or the labels Kahneman has popularized as System 1 and System 2.

Studying ignorance through literature has important implications for BCA. Given the potential for ignorance, there are two key goals for prudent decision making. First, steps should be taken to recognize when ignorance might be present. Second, efforts should be made not to respond in a suboptimal fashion when ignorance is anticipated or when a CAD springs upon us. Great literature can provide the equivalent of widespread life experience, and can help a decision maker reach both goals. At its heart, this essay represents a benefit-cost approach to dealing with ignorance. Numerous connections to BCA are made throughout.

The first decade of the 21st century has perhaps witnessed morestructural change in commodity futures markets than all previous decadescombined. Not only have trading volumes and open interest increasedmarkedly, but this time period also saw historic changes in both trading andparticipants. The available literature indicates that the irrational andharmful impacts of the structural changes in commodity futures markets overthe last decade have been minimal. In particular, there is little evidencethat passive index investment caused a massive bubble in commodity futuresprices. There is intriguing evidence of several other rational andbeneficial impacts of the structural changes over the last decade. Inparticular, the expanding market participation may have decreased riskpremiums, and hence, the cost of hedging, reduced price volatility, andbetter integrated commodity markets with financial markets.

This study examines the expected retirement replacement rates (RRs) of several cohorts of Dutch employees at the time of their planned retirements. It also computes RRs based on the available pension records. We find that the expected replacement rate (E(RR)) is, in general, higher than the ones we compute. Larger discrepancies are found for younger cohorts and for individuals with less education and working experience. We also examine the difference between the expected and computed RRs and find that the mismatch is mostly related to poor institutional knowledge. We also show the role of assumptions about institutions and wage profiles in determining our results.

Les anticipations de taux d'intérêt révélées par les enquêtes de Consensus Economies auprès d'experts sur le marché de l'Eurofranc ne vérifient pas l'hypothèse de rationalité. Elles résultent d'un processus mixte fondé sur une complémentarité entre les modèles anticipatifs traditionnels adaptatif, régressif et extrapolatif augmentés d'effets macroéconomiques (prix, revenu, monnaie). En utilisant une représentation espace-état dans le but de rendre compte de la part inobservable de l'actif long dans le portefeuille composé d'un actif long et d'un actif court, on montre que ces anticipations vérifient la relation de structure par terme de taux fondée sur un modèle de choix de portefeuille. Conformément aux prédictions du modèle, la prime de risque dépend de la variance conditionnelle attendue du taux court et de la cova-riance conditionnelle attendue entre ce dernier et l'inflation, avec une valeur estimée du coefficient d'aversion relative au risque économiquement acceptable. Dans l'ensemble, ces résultats montrent qu'il y a compatibilité entre le modèle de structure de taux et les anticipations des experts.

L’approche d’Allais repose sur des concepts et postulats qui sont propres à son auteur et qui portent sur (i) le lien entre la mémoire du passé et l’anticipation du futur, (ii) le concept de temps psychologique, (iii) l’analogie entre l’oubli et l’intérêt, (iv) le concept de taux d’intérêt psychologique et ses relations avec les taux d’intérêt du marché, et (v) l’appréciation de la conjoncture économique par les agents. Ces idées ont été articulées entre elles dans le cadre de la théorie Héréditaire et Relativiste, pièce unique de la littérature. Bien que cette théorie n’ait été testée empiriquement que dans le domaine des taux d’intérêt et de la demande de monnaie, elle revêt en fait un caractère très général. Un résultat particulièrement séduisant est que certains phénomènes nous apparaissant comme variables dans le temps physique peuvent être constants dans le temps psychologique.

L’hypothèse des anticipations rationnelles (AR) pose la question de savoir comment les agents ont acquis les informations indispensables pour les réaliser. L’idée à la base de la littérature sur l’apprentissage des AR est de supposer que si les agents ne connaissent pas la relation leur permettant de formuler des AR, ils sont susceptibles de l’apprendre avec le temps sur la base de l’expérience passée. Si les agents connaissent la forme mathématique de l’équation qui régit l’économie avec AR, leur méconnaissance se limitant à la valeur de certains paramètres, alors le modèle est qualifié de cohérent et converge vers un équilibre d’AR sous des conditions relativement générales. Le but de cette note est d’étendre cette notion de cohérence à des schémas d’aprentissage moins exigeants en termes informationnels, et de montrer au moyen d’un exemple que ces derniers sont néanmoins susceptibles de converger vers un équilibre d’AR.