Knowledge that Transforms

We estimate the sensitivity of scrap decisions to changes in used car values and show how this “scrap elasticity” produces emissions leakage under fuel efficiency standards, a process known as the Gruenspecht effect. We first estimate the effect of gasoline prices on used vehicle values and scrappage of vehicles with different fuel economies. We then estimate the scrap elasticity itself, which we find to be −0.7. When applied in a model of fuel economy standards, 13–16 percent of the expected fuel savings leak away through the used vehicle market. This effect rivals or exceeds the importance of the often-cited mileage rebound effect. (JEL H23, L62, L78, Q35, Q38, Q48, Q58)

This paper exploits a data rich environment to provide direct econometric estimates of time-varying macroeconomic uncertainty. Our estimates display significant independent variations from popular uncertainty proxies, suggesting that much of the variation in the proxies is not driven by uncertainty. Quantitatively important uncertainty episodes appear far more infrequently than indicated by popular uncertainty proxies, but when they do occur, they are larger, more persistent, and are more correlated with real activity. Our estimates provide a benchmark to evaluate theories for which uncertainty shocks play a role in business cycles. (JEL C53, D81, E32, G12, G35, L25)

We propose new indices to measure macroeconomic uncertainty. The indices measure how unexpected a realization of a representative macroeconomic variable is relative to the unconditional forecast error distribution. We use forecast error distributions based on the nowcasts and forecasts of the Survey of Professional Forecasters. We further compare the new indices with those proposed in the literature and assess their macroeconomic impact.

This paper considers the measurement of consumer loss aversion in product markets. We introduce a test based on a “substitution effect,” focusing on how the end of a sale affects sales not of the good itself, but a substitute good. Such an effect cannot be easily confounded with consumer stockpiling. Using a unique dataset from an online hardware retailer, we find evidence consistent with consumer loss aversion. Moreover, we find that less experienced consumers suffer a more prominent loss aversion bias compared to more experienced consumers.

This article briefly summarizes and judges recent experimental developments exploring the predictions of dynamically inconsistent models. An opinion is provided as to how the literature may evolve given these recent advances.

In a large-scale controlled trial in collaboration with the reelection campaign of an Italian incumbent mayor, we administered (randomized) messages about the candidate's valence or ideology. Informational treatments affected both actual votes in the precincts and individual vote declarations. Campaigning on valence brought more votes to the incumbent, but both messages affected voters' beliefs. Cross-learning occurred, as voters who received information about the incumbent also updated their beliefs on the opponent. With a novel protocol of beliefs elicitation and structural estimation, we assess the weights voters place upon politicians' valence and ideology, and simulate counterfactual campaigns. (JEL D12, D72, D83)

Relative to backward firms, technologically-advanced firms source inputs from other advanced firms. These sourcing patterns lead to a magnification effect of technology adoption. A firm that adopts higher-technology increases the relative supply and demand for higher-technology inputs. As a result, it positively influences the technology of other firms in its production chain. Using data from a Colombian manufacturing survey, we provide evidence that advanced firms disproportionately value advanced inputs. More novel, we provide suggestive evidence that technological advancements in some firms increase the technology of other firms indirectly linked to them through a common input market.

We estimate a bargaining model of competition between hospitals and managed care organizations (MCOs) and use the estimates to evaluate the effects of hospital mergers. We find that MCO bargaining restrains hospital prices significantly. The model demonstrates the potential impact of coinsurance rates, which allow MCOs to partly steer patients toward cheaper hospitals. We show that increasing patient coinsurance tenfold would reduce prices by 16 percent. We find that a proposed hospital acquisition in Northern Virginia that was challenged by the Federal Trade Commission would have significantly raised hospital prices. Remedies based on separate bargaining do not alleviate the price increases. (JEL C78, G34, I11, I13, L13)

We present a comprehensive data set on the bilateral activity of multinational firms, with focus on two variables: affiliate revenues and the number of affiliates across country pairs. Our basic data are from UNCTAD and include 59 countries, an average over 1996-2001. We implement an extrapolation procedure that fills in missing values using, alternately, FDI stocks and the bilateral number of M&A transactions. Our dataset allows for the analysis of new patterns of multinational production activities across countries, by taking into account firm rather than balance of payment variables, and both the intensive and extensive margins of multinational activities.

The debate about behavioral economics–the incorporation of insights from psychology into economics–is often framed as a question about the foundational assumptions of economic models. This paper presents a more pragmatic perspective on behavioral economics that focuses on its value for improving empirical predictions and policy decisions. I discuss three ways in which behavioral economics can contribute to public policy: by offering new policy tools, improving predictions about the effects of existing policies, and generating new welfare implications. I illustrate these contributions using applications to retirement savings, labor supply, and neighborhood choice. Behavioral models provide new tools to change behaviors such as savings rates and new counterfactuals to estimate the effects of policies such as income taxation. Behavioral models also provide new prescriptions for optimal policy that can be characterized in a non-paternalistic manner using methods analogous to those in neoclassical models. Model uncertainty does not justify using the neoclassical model; instead, it can provide a new rationale for using behavioral nudges. I conclude that incorporating behavioral features to the extent they help answer core economic questions may be more productive than viewing behavioral economics as a separate subfield that challenges the assumptions of neoclassical models.