TFP Shocks Research Articles

Inspecting cross-border macro-financial mechanisms

We model structural time-varying macro-financial linkages between the U.S. and euro area using a large dataset for each region. We extract both real and financial cycles and identify shocks, using a factor model with drifting parameters. To interpret the mechanisms that drive the empirical results, we contextualize our estimates using a two-country financial accelerator model. Our evidence speaks clearly of an asymmetric cross-border transmission between U.S. and euro area, especially in the financial domain. This is confirmed by our theoretical complement, which shows a strong transmission of U.S. TFP shocks. Moreover, the U.S. is a more leveraged economy, which accentuates the financial accelerator effect.

International Comovement in the Global Production Network

Abstract This article provides a general framework to study the role of production networks in international GDP comovement. We first derive an additive decomposition of bilateral GDP comovement into components capturing shock transmission and shock correlation. We quantify this decomposition in a parsimonious multi-country, multi-sector dynamic network propagation model, using data for the G7 countries over the period 1978–2007. Our main finding is that while the network transmission of shocks is quantitatively important, it accounts for a minority of observed comovement under the estimated range of structural elasticities. Contemporaneous responses to correlated shocks in the production network are more successful at generating comovement than intertemporal propagation through capital accumulation. Extensions with multiple shocks, nominal rigidities, and international financial integration leave our main result unchanged. A combination of TFP and labour supply shocks is quantitatively successful at reproducing the observed international business cycle.

Are all economic fluctuations bad for consumers?

Are business cycles always costly? This paper sheds new light on this question in the context of a two-sector neoclassical business cycle model by focusing on the roles of the origin of shocks and the degree of real frictions that restrict factor reallocation both inter-temporally (investment adjustment cost) and intra-temporally (inter-sectoral factor immobilities). We find that under the benchmark parameterization, investment-specific technology shocks are welfare-improving while consumption-specific technology shocks are welfare-detrimental, regardless of the degree of real frictions. While aggregate TFP shocks can be both depending on the degree of real frictions, welfare-improving business cycles are not supported by empirical evidence.

Commodity prices and business cycles in small open economies: the role of news shocks

PurposeThe authors explore the hypothesis that some movements in commodity prices are anticipated (news shocks) and can trigger aggregate fluctuations in small open emerging economies. This paper aims to discuss the aforementioned objective.Design/methodology/approachThe authors build a multi-sector dynamic stochastic general equilibrium model with endogenous commodity production. There are five exogenous processes: a country-specific interest rate shock that responds to commodity price fluctuations, a productivity (TFP) shock for each sector and a commodity price shock. Both TFP and commodity price shocks are composed of unanticipated and anticipated components.FindingsThe authors show that news shocks to commodity prices lead to higher output, investment and consumption, and a countercyclical movement in the trade-balance-to-output ratio. The authors also show that commodity price news shocks explain about 24% of output aggregate fluctuations in the small open economy.Practical implicationsGiven the importance of both anticipated and unanticipated commodity price shocks, policymakers should pay attention to developments in commodity markets when designing policies to attenuate the business cycles. Future research should investigate the design of optimal fiscal and monetary policies in SOE subject to news shocks in commodity prices.Originality/valueThis paper contributes to the knowledge of the sources of fluctuations in emerging economies highlighting the importance of a new source: news shocks in commodity prices.

Industries on the edge: The most exposed sectors to microeconomic shocks

We propose a measure of industries’ direct and indirect exposure to microeconomic TFP shocks that originate from any sector of the economy. We show that sectors that rely heavily on intermediate inputs from other industries are more vulnerable to such shocks. In a sample of 43 countries, we find that industries with higher shock exposure experienced significantly greater output volatility between 2000 and 2014, highlighting the importance of input–output linkages in driving microeconomic output volatility. During this period, sectors such as refined petroleum product manufacturing, warehousing, and electricity & gas supply were among the most exposed to shocks.

Leasing as a Mitigation of Financial Accelerator Effects

Abstract We document that leased capital accounts for about 20% of total physical productive assets used by US public firms, and its proportion is more than 40% among small and financially constrained firms. The leased capital ratio exhibits a strong countercyclical pattern over business cycles and a positive correlation with cross-sectional idiosyncratic uncertainty. We argue that existing macro models with financial frictions assume that firms cannot rent capital and overlook the effects of leasing activities on business cycle dynamics. We explicitly introduce a buy-versus-lease decision into the Bernanke–Gertler–Gilchrist financial accelerator model setting to demonstrate a novel and quantitatively important economic mechanism: that the increased use of leased capital when financial constraints become tighter in bad states significantly mitigates the financial accelerator mechanism and thus also mitigates the response of macroeconomic variables to negative total factor productivity shocks and risk shocks. We provide strong empirical evidence to support our mechanism.

Social security, economic growth, and social welfare in an overlapping generation model with idiosyncratic TFP shock and heterogeneous workers

Social security, economic growth, and social welfare in an overlapping generation model with idiosyncratic TFP shock and heterogeneous workers

News shocks to investment-specific technology in business cycles

Recent research in DSGE and VAR models has indicated that the most important drivers of business cycles are IST shocks, not traditional TFP and other shocks. Research in VAR models has also empirically identified IST news shocks as a significant driving force behind the U.S. business cycle. However, recent New-Keynesian DSGE models have found that IST news shocks do not produce comovement of aggregate variables, with the share of the forecast error variance explained by IST news shocks being very small in a flexible-price model and essentially zero in a sticky-price model. This paper uses the Bayesian methods to estimate the parameters and shock processes to study the business cycle effects of IST news shocks in a two-sector sticky-price DSGE model with consumer durables and collateral constraints. Our variance decompositions indicate that IST news shocks are a more relevant source of uncertainty than IST non-news and other shocks.

Inequality over the business cycle: the role of distributive shocks

AbstractThis paper examines how wealth and income inequality dynamics are related to fluctuations in the functional income distribution over the business cycle. In a panel estimation for OECD countries between 1970 and 2016, although inequality is, on average countercyclical and significantly associated with the capital share, one-third of the countries display a pro- or noncyclical relationship. To analyze the observed pattern, we incorporate distributive shocks into an RBC model, where agents are ex ante heterogeneous with respect to wealth and ability. We find that whether wealth and income inequality behave countercyclically or not depends on the elasticity of intertemporal substitution and the persistence of shocks. We match the model to quarterly US data using Bayesian techniques. The parameter estimates point toward a non-monotonic relationship between productivity and inequality fluctuations. On impact, inequality increases in response to TFP shocks but subsequently declines. Furthermore, TFP shocks explain 17% of inequality fluctuations.

Direct and network effects of idiosyncratic TFP shocks

This study investigates the direct and intersectoral network effects of idiosyncratic TFP shocks on sectors’ growth in the context of US manufacturing industries. To deal with the potential endogeneity of TFP, we propose a novel set of instruments for contemporaneous regressors. These instruments are technology shocks identified via sign restriction from sectoral SVAR models. Using US input–output tables and industry-level data, we quantify direct and network-based effects of the shocks. Our results show that a positive idiosyncratic technology shock induces large positive direct and network effects on sectoral growth. In terms of the network effect, we find that the shocks propagate mostly downstream the network.

Real Credit Cycles

We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of US listed firms, creates financial fragility during good times. This mechanism produces countercyclical credit spreads and yields two key features of observed credit cycles. First, it generates boom-bust dynamics at the firm and aggregate levels: cheap credit predicts future increases in spreads, low bond returns, and investment drops. Second, it produces the spike in spreads observed in 2008-9 from modest negative TFP shocks. Diagnostic expectations offer a parsimonious mechanism generating realistic financial reversals in conventional business cycle models. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

Optimal Dynamic Capital Requirements and Implementable Capital Buffer Rules

We build a quantitatively relevant macroeconomic model with endogenous risk-taking. In our model, deposit insurance and limited liability can lead banks to make risky loans that are socially inefficient. This excessive risk-taking can be triggered by aggregate or sectoral shocks that reduce the return on safer loans. Excessive risk-taking can be avoided by raising bank capital requirements, but unnecessarily tight requirements lower welfare by limiting liquidity producing bank deposits. Consequently, optimal capital requirements are dynamic (or state contingent). We provide examples in which a Ramsey planner would raise capital requirements: (1) during a downturn caused by a TFP shock; (2) during an expansion caused by an investment-specific shock; and (3) during an increase in market volatility that has little effect on the business cycle. In practice, the economy is driven by a constellation of shocks, and the Ramsey policy is probably beyond the policymaker's ken; so, we also consider implementable policy rules. Some rules can mimic the optimal policy rather well but are not robust to all the calibrations we consider. Basel III guidance calls for increasing capital requirements when the credit to GDP ratio rises, and relaxing them when it falls; this rule does not perform well. In fact, slightly elevated static capital requirements generally do about as well as any implementable rule.

Gross worker flows and fluctuations in the aggregate labor market

We build a three-state general equilibrium model of the aggregate labor market that features both standard labor supply forces and labor market frictions. Our model matches key features of the cyclical properties of employment, unemployment, and nonparticipation as well as those of gross worker flows across these three labor market states. Our key finding is that shocks to labor market frictions play a dominant role in accounting for labor market fluctuations. This is in contrast to the focus of the traditional RBC literature, which emphasized how employment fluctuations arise as a consequence of labor supply responses to price changes induced by TFP shocks.

Ambiguous business cycles: A quantitative assessment

In this paper, we examine the cyclical dynamics of a Real Business Cycle model with ambiguity averse consumers and investment irreversibility using the smooth ambiguity model of Klibanoff et al. (2005, 2009). Ambiguity of belief about the productivity process arises as agents do not know the process driving variation in aggregate TFP, and they must make inferences regarding the true process at the same time as they infer the behavior of the unobserved temporary component using a Kalman filtering algorithm. Our findings may be summarized as follows. First, the standard business cycle facts hold in our framework, which are not altered significantly by changes in the degree of ambiguity aversion. Second, we demonstrate a role for information and learning effects, and show that lower initial ambiguity or greater confidence coupled with learning dynamics lowers the volatility and increases the persistence in all of the key macroeconomic variables. Third, comparing the performance of our model to the New Keynesian business cycle model of Ilut and Schneider (2014) with maxmin expected utility, we find that the version of their model without nominal and real frictions turns out to have limited success at matching the moments for the quantity variables. In the maxmin expected utility framework, the worst case scenario instills too much caution on the part of agents who, in the absence of a key set of nominal and real frictions, end up excessively reducing their responses to TFP shocks.

Reelection, growth and public debt

In this work we examine how economic growth affects public debt when interacted with reelection prospects. Reelection considerations shorten political time horizons and give rise to political myopia that exacerbates debt accumulation. That laxer institutional reelection restrictions (e.g., no term limits) mitigate this effect due to electoral accountability is well known. Incorporating growth, we find that this mitigation can be reversed because less myopic, and more accountable, incumbents put more emphasis on smoothing the effects of growth across generations. We test these predictions using an annual-based panel of U.S. states over the period 1963–2010. Our identification strategy rests on constitutionally-entrenched differences in gubernatorial term limits that provide plausibly exogenous variation in reelection prospects, and aggregate national TFP shocks that are exogenous to individual states. Our estimates indicate that when reelection is possible a one standard deviation positive income shock induces, within the same year, a relative increase of approximately $40 in real per capita public debt.

Shadow Bank Run, Housing and Credit Market: The Story of a Recession

Abstract This paper assesses the interaction between the housing and credit markets and shadow banks, with the possibility of bank runs. The findings illustrate how a negative TFP shock is amplified by macro-financial and macro-housing channels through household balance sheets, bank balance sheets, and liquidity channels. If the shock renders the shadow banking system insolvent, two equilibria coexist: the no-run equilibrium and the run equilibrium. In this instance, run is a sunspot coordination failure; if households receive a negative signal from fundamentals and stop rolling over deposits to the financial sector, banks are not able to fund their losses with new deposits. So they are forced to liquidate their assets at an endogenous fire sale price. The main finding of this paper is that the model with housing provides a comprehensive account of the consequences of economic crises, namely the house price double-dip, the output downward spiral, and the lengthy recovery period. To eliminate the bank-run equilibrium, this paper proposes macroprudential policy tools in the form of capital adequacy buffers and loan-to-value ratios. Then a welfare analysis is applied to determine the optimal policy mix.

Inequality over the Business Cycle – The Role of Distributive Shocks

This paper examines the dynamics of wealth and income inequality along the business cycle and assesses how they are related to fluctuations in the functional income distribution. In a panel estimation for OECD countries between 1970 and 2016 we find that on average income inequality - measured by the Gini coefficient - is countercyclical and also shows a significant association with the capital share. Up on a closer look, we find that a remarkable share of one third of all countries display a rather pro- or acyclical relationship. In order to understand the underlying cyclical dynamics of inequality we incorporate distributive shocks, modeled as exogenous changes in the capital share, into a real business cycle model, where agents are ex-ante heterogeneous with respect to wealth and ability. We show how to derive standard inequality measures within this framework, which allow us to analyze how productivity and distributive shocks affect both, the macroeconomic variables and the personal income and wealth distribution over the business cycle. We find that whether wealth and income inequality in the model behaves countercyclical or not depends on two aspects. The intertemporal elasticity of substitution and the persistence of the shocks. We use Bayesian techniques in order to match GDP, capital share and consumption to quarterly U.S. data. The resulting parameter estimates point towards a non-monotonic relationship between productivity fluctuations and inequality. On impact, inequality increases in response to TFP shocks but declines in later periods. This pattern is consistent with the empirically observed relationship in the USA. Furthermore, we find that TFP shocks explain about 17 percent of the cyclical fluctuations in inequality in the USA.

Compositional Nature of Firm Growth and Aggregate Fluctuations

This paper studies firm dynamics over the business cycle. I present evidence from the United Kingdom that more rapidly growing firms are born in expansions than in recessions. Using administrative records from Census data, I find that this observation also holds for the last four recessions in the United States. I also present suggestive evidence that financial frictions play an important role in determining the types of firms that are born at different stages of the business cycle. I then develop a general equilibrium model in which firms choose their managers’ span of control at birth. Firms that choose larger spans of control grow faster and eventually get to be larger, and in this sense have a larger target size. Financial frictions in the form of collateral constraints slow the rate at which firms reach their target size. It takes firms longer to get up to scale when collateral constraints tighten; therefore, businesses with the largest target size are affected disproportionately more. Thus, fewer entrepreneurs find it profitable to choose larger projects when financial conditions deteriorate. Using Bayesian methods, I estimate the model using micro and aggregate data from the United Kingdom. I find that financial shocks account for over 80% of fluctuations in the formation of businesses with a large target size, and TFP and labour wedge shocks account for the remaining 20%. An independently estimated version of the model with no choice over the span of control needs larger aggregate shocks in order to account for the same data series, suggesting that the intensive margin of business formation is important at business cycle frequencies. The model with the choice over the span of control generates an empirically relevant and non-targeted collapse in the right tail of the cumulative growth distribution among firms started in recessions, while the model without such a choice does not. The paper also discusses implications for micro-targeted government stimulus policies.

Understanding the Aggregate Effects of Credit Frictions and Uncertainty

We examine the interaction of uncertainty and credit frictions in a New Keynesian framework. To do so, uncertainty is modeled as time-varying stochastic volatility – the product of monetary policy uncertainty, financial risk (micro-uncertainty), and macrouncertainty. The model is solved using a pruned third-order approximation and estimated by the Simulated Method of Moments. We find that: 1) Micro-uncertainty aggravates the information asymmetry between lenders and borrowers, worsens credit conditions, and has first-order effects on real economic activity. 2) When credit conditions are poor, as indicated by elevated credit spreads, additional micro-uncertainty shocks produce even larger real effects. 3) Poor credit conditions notably affect the transmission mechanism of monetary policy amplifying the real effects of monetary shocks while mitigating the economic boost from TFP shocks. 4) While macro-uncertainty and policy uncertainty exert relatively little direct impact on aggregate economic activity, policy uncertainty accounts for around 40% of the business cycle volatility by affecting the size of monetary policy shocks in the presence of nominal rigidities.

The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem

We provide a nonlinear characterization of the macroeconomic impact of microeconomic TFP shocks in terms of reduced-form non-parametric elasticities for efficient economies. We also provide the mapping from structural parameters to these reduced-form elasticities, under general equilibrium. In this sense, the paper extends the foundational theorem of Hulten (1978) beyond first-order terms to capture nonlinearities. Key features ignored by first-order approximations that play a crucial role are: structural elasticities of substitution, network linkages, structural returns to scale, and the degree to which factors can be reallocated. Higher-order terms are large and economically interesting: they magnify negative shocks and attenuate positive shocks, resulting in an output distribution that is asymmetric (negative skewness), fat-tailed (excess kurtosis), and has a lower mean. They explain how small microeconomic shocks to critical sectors can have a large macroeconomic impact. To give a sense of magnitudes: in our benchmark calibration, output losses due to business cycle fluctuations are 0.6% of GDP, an order of magnitude larger than the cost of business cycles calculated by Lucas (1987), and are entirely due to a reduction in the mean of GDP because of nonlinearities in production; and accounting for second order terms increases the estimated impact of the price shock to the critical sector of oil in the 1970s from 0.7% to 2.4% of world GDP.