We propose a macroeconomic model in which adverse selection in investment amplifies macroeconomic fluctuations, in line with the prominent role played by the credit crunch during the financial crisis. Endogenous lending standards emerge due to an informational asymmetry between borrowers and lenders about the riskiness of borrowers. By using loan approval probability as a screening device, banks ration credit following increases in lending risk, generating large endogenous movements in TFP, explaining why productivity often falls during crises. Furthermore, the mechanism implies that financial instability is heightened when interest rates are low.

Although China’s monetary and financial system differs drastically from its Western counterpart, empirical studies covering this vast economy have often been simple reestimations or recalibrations of models originally designed to describe US or European monetary policy. In this paper, we aim to assess Chinese monetary policy and, in particular, monetary policy transmission through yield curves into the real economy. Our study takes into account the peculiarities of the Chinese economy: Namely, our model includes both China’s modern attempts at a market-based monetary policy as well as the “authority-based” one that is a relic of the original banking system. Besides, it considers the special nature of the Chinese treasury bond market, which is separated into two independent ones with very limited direct arbitrage opportunities between almost identical assets. Finally, it incorporates the role of real estate, which played an essential role in China during the last decade. Our results show that different monetary policy shocks cause asymmetric effects on macroeconomic and financial variables.

This paper examines whether changes in US presidential administration and central bank turnover during the period 1976–2016 caused regime shifts in Taylor rule deviations. Using a dynamic stochastic general equilibrium model to construct the welfare-maximizing policy rule and deviations from the optimal rule, we find evidence that politics indeed play a key role in explaining these deviations. In addition to politics, unemployment rates and the interest rate spread significantly account for regime shifts in Taylor rule deviations.

This study constructs a cost-of-living index in a cash-credit goods economy. I first argue that the conventional cost-of-living index entails internal inconsistency when applied to the cash-credit goods economy and then develop an internally consistent cost-of-living index. This new index suggests that the interest rate directly affects the cost of living, and that its effect is asymmetric. Applying the index to the US data for the past 20 years suggests that this effect on the aggregate price index is quantitatively nonnegligible.

Typically, contractionary monetary policy shocks increase the nominal and real rate of interest, which reduces both inflation and output . In contrast, the neo-Fisher effect (NFE) suggests that a transitory but persistent increase in the nominal rate of interest increases inflation in the short run. In a New Keynesian model augmented with several frictions, including the cost channel of monetary policy, real wage rigidity, habit formation in consumption, dampened expectations, and anticipated monetary policy shocks, we derive analytical conditions that give rise to (or avert) the NFE. We show that the NFE can arise due to the interplay between these frictions, and not only when the persistence of the policy shock is large, or when agents are forward-looking, as documented by the existing literature.

This study examines the driving forces behind the strong decline in German unemployment from 2005 onwards and the exceptionally small increase during the Great Recession. Structural vector autoregressions (VARs) with sign restrictions show that wage moderation in the aftermath of labor market reforms was the dominant factor of the unemployment decline, and that improved matching and shrinking labor supply also contributed to it. The adjustment to business cycle shocks (Great Recession), on the other hand, is to a large extent borne by the intensive margin, which can be explained by institutional aspects of the German labor market.

This paper applies the common stochastic trends representation approach to the time series of total factor productivity (TFP) and the relative price of investment (RPI) to investigate the modeling of neutral technology (NT) and investment-specific technology (IST) and its econometric ramifications on the analysis of general equilibrium model. The permanent and transitory movements in both series are estimated efficiently via Markov chain Monte Carlo methods using band matrix algorithms. The results indicate that TFP and the RPI are, each, well represented by a differenced first-order autoregressive process. In addition, their time series share a common trend component that we interpret as reflecting changes in general purpose technology. These results are consistent with studies that suggest that (1) the traditional view of assuming that NT and IST follow independent processes is not supported by the features of the time series and (2) improper specification of secular trends may distort estimation and inference. Notably, the findings provide some guidance to minimize the effect of idiosyncratic and common trend misspecifications on the analysis of impulse dynamics and propagation mechanisms in macroeconomic models.

In a canonical model of heterogeneous agents with precautionary saving motives, Aiyagari [(1995) Journal of Political Economy 103(6), 1158–1175.] breaks the classical result of zero capital tax obtained in representative-agent models. Aiyagari argues that with capital overaccumulation the optimal long-run capital tax should be strictly positive in order to achieve aggregate allocative efficiency suggested by the modified golden rule (MGR). In this paper, we find that, depending on the sources of capital overaccumulation, capital taxation may not be the most efficient means to restore the MGR when government debt is feasible. To demonstrate our point, we study optimal policy mix in achieving the socially optimal (MGR) level of aggregate capital stock in an infinite horizon heterogeneous-agents incomplete-markets economy where capital may be overaccumulated for two distinct reasons: (i) precautionary savings and (ii) production externalities. By solving the Ramsey problem analytically along the entire transitional path, we reveal that public debt and capital taxation play very distinct roles in dealing with the overaccumulation problem. The Ramsey planner opts neither to use a capital tax to correct the overaccumulation problem if it is caused solely by precautionary saving—regardless of the feasibility of public debt—nor to use debt (financed by consumption tax) to correct the overaccumulation problem if it is caused solely by production externality (such as pollution)—regardless of the feasibility of a capital tax. The key is that the MGR has two margins: an intratemporal margin pertaining to the marginal product of capital (MPK) and an intertemporal margin pertaining to the time discount rate. To achieve the MGR, the Ramsey planner needs to equate not only the private MPK with the social MPK but also the interest rate with the time discount rate—neither of which is equalized in a competitive equilibrium. Yet public debt and a capital tax are each effective only in calibrating one of the two margins, respectively, but not both.

Nonlinear co-integration is studied for score-driven models, using a new multivariate dynamic conditional score/generalized autoregressive score model. The model is named t-QVARMA (quasi-vector autoregressive moving average model), which is a location model for the multivariate t-distribution. In t-QVARMA, I(0) and co-integrated I(1) components of the dependent variables are included. For t-QVARMA, the conditions of the maximum likelihood estimator and impulse response functions (IRFs) are presented. A limiting special case of t-QVARMA, named Gaussian-QVARMA, is a Gaussian-VARMA specification with I(0) and I(1) components. As an empirical application, the US real gross domestic product growth, US inflation rate, and effective federal funds rate are studied for the period of 1954 Q3 to 2020 Q2. Statistical performance and predictive accuracy of t-QVARMA are superior to those of Gaussian-VAR. Estimates of the short-run IRF, long-run IRF, and total IRF impacts for the US data are reported.

We estimate the relationship between GDP per capita growth and the growth rate of the national saving rate using a panel of 130 countries over the period 1960–2017. We find that GDP per capita growth increases (decreases) the growth rate of the national saving rate in poor countries (rich countries), and a higher credit-to-GDP ratio decreases the national saving rate as well as the income elasticity of the national saving rate. We develop a model with a credit constraint to explain the growth-saving relationship by the saving behavior of entrepreneurs at both the intensive and extensive margins. We further present supporting evidence for our theoretical findings by utilizing cross-country time series data of the number of new businesses registered and the corporate saving rate.

I explore the welfare implications of currency union (CU) membership in a model that generates a trade-off between alternative monetary arrangements. While national currencies support country-specific monetary policies, a CU eliminates some barriers to trade and transitory cross-border price misalignments caused by nominal rigidities. I quantify the welfare gap between these two arrangements and show that it depends crucially on the correlation of shocks across the countries involved. I estimate the model with data from 11 Eurozone members and I seek the minimum trade gains needed to make a single currency worthwhile for them. I find that modest trade gains are likely to be sufficient, given the good business-cycle affiliation of these economies.

I study a model of self-fulfilling bank runs where government-provided deposit insurance covers small (retail) deposits but not large (wholesale) deposits. The share of the banking system that may be affected by runs depends on the distribution of retail and wholesale deposits across banks. The magnitude of runs is minimized if banks with both retail and wholesale depositors (reminiscent of commercial banks) coexist with banks that cater only to wholesale depositors (reminiscent of shadow banks). The shadow banking sector should be large enough to absorb enough wholesale deposits from commercial banks to keep them shielded from runs. In a decentralized equilibrium, the magnitude of runs tends to be larger than optimal as a result of wholesale depositors’ incentive to invest in the banks with the highest share of retail depositors.

Expectations are among the main driving forces for economic dynamics. Therefore, managing expectations has become a primary objective for monetary policy seeking to stabilize the business cycle. In this paper, we study whether central banks can manage private-sector expectations by means of publishing one-period ahead inflation projections in a New Keynesian learning-to-forecast experiment. Subjects in the experiment observe these projections along with the historic development of the economy and subsequently submit their own one-period ahead inflation forecasts. In this context, we find that the central bank can significantly manage private-sector expectations and that this management strongly supports monetary policy in stabilizing the economy. Moreover, published central bank inflation projections drastically reduce the probability of a deflationary spiral after strong negative shocks to the economy.

We revisit the Friedman rule in a labor search model and extend Heer (2003), Cooley and Quadrini (2004), and Wang and Xie (2013) to one that allows for endogenous growth. We show that, even without a liquidity effect or a CIA constraint on firms’ wage payment, our model offers a different channel for moderate money growth to increase welfare. Intuitively, in a one-sector endogenous growth economy, the technology is of constant returns with respect to capital. When the labor market is frictional, a moderate increase in money growth induces an expansion in vacancy and employment. Labor and capital are complements in production. With an increase in employment, when the technology is neoclassical, the decreasing return in capital leads to a lower marginal product of labor. However, in an endogenous growth framework wherein the technology exhibits socially constant returns in capital, the marginal product of labor is constant. Due to a constant marginal product of labor, modest inflation raises employment, enlarges economic growth, and increases welfare. Moreover, the optimal long-run inflation rate departs from the Friedman rule, even when the Hosios rule holds. Finally, we find that our model with sustainable growth fits the data better than that without sustainable growth.

This paper studies the role of monetary policy for the dynamics of US mortgage debt, which accounts for the largest part of household debt. A time-varying parameter vector autoregressive (VAR) model allows us to study the variation in the sensitivity of mortgage debt to monetary policy. We find that an identically sized policy shock became less effective over time. We use a dynamic stochastic general equilibrium model to show that a fall in the share of adjustable rate mortgages (ARMs) can replicate this finding. Calibrating the model to the drop in the ARM share since the 1980s yields a decline in the sensitivity of housing debt to monetary policy which is quantitatively similar to the VAR results. A sacrifice ratio for mortgage debt reveals that a policy tightening directed toward reducing household debt became more expensive in terms of a loss in employment. Counterfactuals show that this result cannot be attributed to changes in monetary policy itself.

We present a multiregional endogenous growth model in which forward-looking agents choose their regions to live in, in addition to consumption and capital accumulation paths. The spatial distribution of economic activity is determined by the interplay between production spillover effects and urban congestion effects. We characterize the global stability of the spatial equilibrium states in terms of economic primitives such as agents’ time preference and intra- and interregional spillovers. We also study how macroeconomic variables at the stable equilibrium state behave according to the structure of the spillover network.

This paper uses vector autoregression model analysis to identify monetary policy shocks on UK data using surprise changes in the policy rate as external instruments and imposing block exogeneity restrictions on domestic variables to estimate parameters from the viewpoint of the domestic economy. The results show large and persistent effects of monetary policy shocks on the domestic economy and point to the critical role of exchange rates and term premia. The analysis resolves important empirical puzzles of traditional recursive identification methods.

The existing output gap measures for the US economy rely on aggregate data and assume a constant output gap over sectors (see Coibion et al. [(2018) Brookings Papers on Economic Activity, 333–441] and Owyang et al. [(2018) Federal Reserve Bank of St. Louis Review, 297–316]); however, each sector has its cycle, which does not necessarily match the business cycle (Burns and Mitchell [(1946) National Bureau of Economic Research]). By modeling sectoral cycles based on their investment cycles with a nonparametric method, I estimate output gaps of 20 US sectors over 1948–2020. The weighted mean output gap indicates a persistent spare capacity in the last business cycle, pointing to insufficient stabilization policies behind secular stagnation. Phillips curve estimations with the weighted quartiles of sectoral output gaps show that the output gap of bottleneck sectors (weighted Q3) is correlated strongly with inflation over 1950–2020. Policymakers can track bottleneck sectors to mitigate inflationary pressures while supporting the sectors with negative output gaps to stabilize the output at its potential. My findings show that it is possible to produce more output by sector-level demand supporting policies without generating inflation.

Unemployment insurance benefits are often extended during recessions. Existing research shows that this policy increases the unemployment rate and the duration of unemployment. But less is known about why these changes occur. I construct a job search model with an endogenous participation decision to quantify the contributions of (i) search effort, (ii) job selectivity, and (iii) labor market participation, to changes in unemployment outcomes. In a model calibrated to the US economy, I show that the increased participation accounts for a large fraction of the increase in the unemployment rate following a permanent extension of benefits. This finding indicates the importance of changes in the participation decision of workers facing extended benefits for the unemployment rate—a mechanism that is understudied and frequently overlooked in the quantitative labor market research exploring the impact of UI policies.