Alan M. Taylor’s research while affiliated with Centre for Economic Policy Research - CEPR- and other places

We document that the real effects of monetary shocks last for over a decade. Our approach relies on (1) identification of exogenous and non-systematic monetary shocks using the trilemma of international finance; (2) merged data from two new international historical cross-country databases; and (3) econometric methods robust to long-horizon inconsistent estimates. Notably, the capital stock and total factor productivity (TFP) exhibit greater hysteresis than labor. When we allow for asymmetry, we find these effects with tightening shocks, but not with loosening shocks. When extending the horizon of the responses reported in several recent studies that use alternative monetary shocks, we find similarly persistent real effects, thus supporting our main findings.

A central question in applied research is to estimate the effect of an exogenous intervention or shock on an outcome. The intervention can affect the outcome and controls on impact and over time. Moreover, there can be subsequent feedback between outcomes, controls and the intervention. Many of these interactions can be untangled using local projections. This method’s simplicity makes it a convenient and versatile tool in the empiricist’s kit, one that is generalizable to complex settings. This article reviews the state-of-the art for the practitioner, discusses best practices and possible extensions of local projections methods, along with their limitations.

Rare disaster models assume that growth is afflicted by a negative-mean and left-skewed component, which, if eliminated, could produce first-order welfare gains, unlike other models of business cycle costs. This paper introduces a new test to show that many if not most business cycles are asymmetric in this way, and resemble “mini-disasters” in addition to the widely studied rare disaster events with which we are familiar, typically wars. Using long-run historical data, we show empirically that this holds for advanced economies since 1870 in peacetime. We develop a tractable local projection framework to estimate consumption processes in normal and financial crisis recessions. Introducing random coefficient local projections, we get an easy and transparent mapping from estimates to a calibrated simulation model of disasters with variable severity. Our simulations show that substantial welfare costs arise from the smaller but more frequent mini-disasters. On average, even with low risk aversion, households would be willing to pay between 5 and 12% of deterministic consumption to avoid these events based on their average historical frequency and severity.

Many of the challenges in the estimation of dynamic heterogeneous treatment effects can be resolved with local projection (LP) estimators of the sort used in applied macroeconometrics. This approach provides a convenient alternative to the more complicated solutions proposed in the recent literature on Difference in-Differences (DiD). The key is to combine LPs with a flexible ‘clean control’ condition to define appropriate sets of treated and control units. Our proposed LP-DiD estimator is clear, simple, easy and fast to compute, and it is transparent and flexible in its handling of treated and control units. Moreover, it is quite general, including in its ability to control for pre-treatment values of the outcome and of other time-varying covariates. The LP-DiD estimator does not suffer from the negative weighting problem, and indeed can be implemented with any weighting scheme the investigator desires. Simulations demonstrate the good performance of the LP-DiD estimator in common settings. Two recent empirical applications illustrate how LP-DiD addresses the bias of conventional fixed effects estimators, leading to potentially different results.

An impulse response is the dynamic average effect of an intervention across horizons. We use the well-known Kitagawa-Blinder-Oaxaca decomposition to explore a response’s heterogeneity over time and over states of the economy. This can be implemented with a simple extension to the usual local projection specification that nevertheless keeps the model linear in parameters. Using our new decomposition-based approach, we show how to unpack heterogeneity in the fiscal multiplier, an object that at any point in time may depend on a number of potentially correlated factors, including existing economic conditions and the monetary response. In our application, the fiscal multiplier varies considerably with monetary policy: it can be as small as zero, or as large as 2, depending on the degree of monetary offset.

Do periods of persistently loose monetary policy increase financial fragility and the likelihood of a financial crisis? This is a central question for policymakers, yet the literature does not provide systematic empirical evidence about this link at the aggregate level. In this paper we fill this gap by analyzing long run historical data. We find that when the stance of monetary policy is accommodative over an extended period, the likelihood of financial turmoil down the road increases considerably. We investigate the causal pathways that lead to this result and argue that credit creation and asset price overheating are important intermediating channels.

We construct a new, global tariff dataset and apply it to a multi-sector quantitative trade model with heterogeneous firms, including nearly all countries of the world. The impact of the Uruguay Round tariff reductions over 1990–2010 is analyzed, as well as the further cuts in Preferential tariffs and the impact of moving to complete free trade. We find that the Uruguay Round tariff cuts led to large welfare gains (2%–3% relative to 1990 for the world, higher in Emerging and Developing countries), but that Preferential tariff cuts led to only small further gains (0%–1%). Surprisingly, the hypothetical movement to free trade leads to the greatest gains (5% relative to 1990, almost 10% in Emerging and Developing countries), which implies that there is strong scope for gains from future multilateral tariff reductions, especially for Emerging and Developing economies. These gains are large relative to prior estimates in the literature and we attribute about nearly one-half of our measured gains to selection effects in our heterogeneous-firm model, which are influenced by the scale of production and by two-tier Armington aggregation.