Zheng Liu

We study how changes in the composition of Chinese local government debt influenced bank risk taking, credit allocation, and local productivity. Using confidential loan-level data and a difference-in-difference identification approach, we show that a debt-to-bond swap program for local governments implemented in 2015 significantly increased bank risk taking through a risk-weighting channel under Basel III capital regulations. The debt swap program converted bank holdings of municipal corporate debt to local government bonds, reducing banks’ risk-weighted assets. Banks responded by lowering credit spreads on loans to privately owned firms (POEs) relative to state-owned enterprises (SOEs), with significantly larger reductions in POE credit spreads in provinces with more outstanding government debt. Furthermore, the credit reallocation toward more productive private firms—a crowding in effect of the debt swap—significantly raised local productivity.

We document key stylized facts about the time-series trends and cross-sectional distributions of AI pricing and study its implications for firm performance, both on average and conditional on monetary policy shocks. We use the universe of online job posting data from Lightcast to measure the adoption of AI pricing. We infer that a firm is adopting AI pricing if it posts a job opening that requires AI-related skills and contains the keyword “pricing.” At the aggregate level, the share of AI-pricing jobs in all pricing jobs has increased by more than tenfold since 2010. The increase in AI-pricing jobs has been broad-based, spreading to more industries than other types of AI jobs. At the firm level, larger and more productive firms are more likely to adopt AI pricing. Moreover, firms that adopted AI pricing experienced faster growth in sales, employment, assets, and markups, and their stock returns are also more sensitive to high-frequency monetary policy surprises than non-adopters. We show that these empirical observations can be rationalized by a simple model where a monopolist firm with incomplete information about the demand function invests in AI pricing to acquire information.

Household inflation disagreement weakens the impact of forward guidance and monetary policy shocks, especially when inflation forecasts are positively skewed. This attenuation effect is not driven by endogenous responses of inflation disagreement to contemporaneous shocks. A model with heterogeneous beliefs about the central bank’s inflation target explains these observations. Agents expecting higher future inflation perceive lower real interest rates and borrow more, constrained by borrowing limits. Increased inflation disagreement results in more borrowing-constrained agents, leading to slower aggregate consumption responses to interest rate changes. This mechanism also provides a microeconomic foundation for Euler equation discounting, helping to resolve the forward guidance puzzle.

We study the implications of trade uncertainty for reshoring, automation, and U.S. labor markets. Rising trade uncertainty creates incentives for firms to reduce exposure to foreign suppliers by moving production and distribution processes to domestic producers. However, we argue that reshoring does not necessarily bring jobs back to the home country or boost domestic wages, especially when firms have access to labor-substituting technologies such as automation. Automation improves labor productivity and facilitates reshoring, but it can also displace jobs. Furthermore, automation poses a threat that weakens the bargaining power of unskilled workers in wage negotiations, depressing their wages and raising the skill premium and wage inequality. Our model predictions are in line with industry-level empirical evidence.

We study the effectiveness of targeted reserve requirements (RR) as a policy tool for macroeconomic stabilization. Targeted RR adjustments were implemented in China during both the 2008-09 global financial crisis and the recent COVID-19 pandemic. We develop a model in which firms with idiosyncratic productivity can borrow from two types of banks—local and national—to finance working capital. National banks provide better liquidity services, while local banks have superior monitoring technologies. Switching lenders incurs a fixed cost, such that firms switch lenders only under sufficiently large shocks. Reducing RR on local banks boosts leverage and aggregate output, whereas reducing RR on national banks has an ambiguous output effect. Following a large recessionary shock, a targeted RR policy reducing relative local bank RR can stabilize macroeconomic fluctuations. However, the policy also boosts local bank leverage, raising default risks and liquidation losses. Our model’s mechanism is supported by bank-level empirical evidence.

The stimulus effects of expansionary fiscal policy under average inflation targeting (AIT) depends on both monetary and fiscal policy regimes. AIT features an inflation makeup under the monetary regime, but not under the fiscal regime. In normal times, AIT amplifies the short-run fiscal multipliers under both regimes while mitigating the cumulative multipliers. due to intertemporal substitution. In a zero-lower bound (ZLB) period, AIT reduces fiscal multipliers under a monetary regime by shortening the duration of the ZLB through expected inflation makeup. Under the fiscal regime, AIT has a nonlinear effect on fiscal multipliers because of the absence of inflation makeup and the presence of a nominal wealth effect.

We provide empirical evidence suggesting that the rise of superstar firms is linked to automation. We explain this empirical link in a general equilibrium framework with heterogeneous firms and variable markups. Firms can operate a labor-only technology or, by paying a per-period fixed cost, an automation technology that uses both workers and robots. The fixed costs lead to an economy-of-scale effect of automation, such that larger and more productive firms are more likely to automate. Automation boosts labor productivity, allowing those large firms to expand further, raising industry concentration. Since robots substitute for workers, increased automation raises sales concentration more than employment concentration, consistent with empirical evidence. Under our calibration, a modest robot subsidy mitigates markup distortions and improves welfare by stimulating automation investment, bringing aggregate output closer to the efficient level.

Firm-level evidence suggests that turbulence that reshuffles firms’ productivity rankings rises sharply in recessions. An increase in turbulence reallocates labor and capital from high- to low-productivity firms, reducing aggregate TFP and the stock market value of firms. A real business cycle model with heterogeneous firms and financial frictions can generate the observed macroeconomic and reallocation effects of turbulence. In the model, increased turbulence makes high-productivity firms less likely to remain productive, reducing their expected equity values and tightening their borrowing constraints relative to low-productivity firms. This leads to a reallocation that reduces aggregate TFP. Unlike uncertainty, turbulence changes both the conditional mean and the conditional variance of the firm productivity distribution, enabling a turbulence shock to generate a recession with synchronized declines in aggregate activities.

wp2021-22_appendix.pdf – Supplemental Appendix

Using confidential loan-level data from a large Chinese bank, we examine how Basel III implementation influenced the responses of bank risk-taking to monetary policy shocks. We use a difference-in-differences (DID) approach, exploiting disparities in lending behavior between high- and low-risk bank branches before and after the new regulations. Our findings reveal a novel risk-weighting channel through which monetary policy easing significantly reduced bank risk-taking. However, this risk reduction was achieved by shifting lending towards ostensibly low-risk state-owned enterprises (SOEs) with government guarantees, despite their lower average productivity. Our findings suggest a tradeoff facing China’s monetary policy between curbing bank risks and addressing credit misallocation.

The COVID-19 pandemic has raised concerns about the future of work. The pandemic may become recurrent, necessitating repeated adoptions of social distancing measures (voluntary or mandatory), creating substantial uncertainty about worker productivity. But robots are not susceptible to the virus. Thus, pandemic-induced job uncertainty may boost the incentive for automation. However, elevated uncertainty also reduces aggregate demand and reduces the value of new investment in automation. We assess the importance of automation in driving business cycle dynamics following an increase in job uncertainty in a quantitative New Keynesian DSGE framework. We find that, all else being equal, job uncertainty does stimulate automation, and increased automation helps mitigate the negative impact of uncertainty on aggregate demand.

We argue that the threat of automation weakens workers’ bargaining power in wage negotiations, dampening wage adjustments and amplifying unemployment fluctuations. We make this argument based on a business cycle model with labor market search frictions, generalized to incorporate automation decisions. In the model, procyclical automation threats create endogenous real wage rigidity that amplifies labor market fluctuations. The automation mechanism is consistent with empirical evidence. It is also quantitatively important for explaining the large volatilities of unemployment and vacancies relative to that of real wages, a puzzling observation through the lens of standard business cycle models.

We document empirical evidence that surges in capital inflows (outflows) raise (reduce) income inequality. We study the mechanism through which changes in capital flows and capital account policies can influence income distributions in a small open economy model. Our model features heterogeneous agents and financial frictions, with banks intermediating between household savings and entrepreneur investment. Inflow surges disproportionately raise entrepreneur income, exacerbating inequality, while increases in outflows boost the share of household income, alleviating inequality. Under capital-skill complementarity, capital account liberalization that induces net capital inflows raises both the skill wage premium and overall income inequality. These predictions are in line with our empirical evidence.
Please see August 2023 Erratum in supplemental files below.

n8crkjjy99 – Replication files
wp2020-14-erratum.pdf – Erratum: August 2023

Housing demand shocks in standard macroeconomic models are a primary source of house price fluctuations, but those models have difficulties in generating the observed large volatility of house prices relative to rents. We provide a microeconomic foundation for the reduced-form housing demand shocks with a tractable heterogenous-agent framework. In our model with heterogeneous beliefs, an expansion of credit supply raises housing demand of optimistic buyers and boosts house prices without affecting rents. A credit supply shock also leads to a positive correlation between house trading volumes and house prices. The theoretical mechanism and model predictions are supported by empirical evidence, and the results are robust to alternative specifications of heterogeneity.

We study the consequences of interest-rate liberalization in a two-sector general equilibrium model of China. The model captures a key feature of China’s distorted financial system: state-owned enterprises (SOEs) have greater incentive to expand production and easier access to credit than private firms. In this second-best environment, interest-rate liberalization can improve capital allocations within each sector, but can also exacerbate misallocations across sectors. Under calibrated parameters, the liberalization policy can reduce aggregate productivity and welfare unless other policy reforms are also implemented to alleviate SOEs’ distorted incentives or improve private firms’ credit access.

LWX_online_appendix.pdf – Supplemental appendix
LWX-code.zip – Supplemental data code
LWX-data_part1.zip – Data part 1
LWX-data_part2.zip – Data part 2
LWX-data_part3.zip – Data part 3

China maintains tight controls over its capital account. Its current policy regime also features financial repression, under which banks are required to extend funds to state-owned enterprises (SOEs) at favorable terms, despite their lower average productivity than private firms. We incorporate these features into a general equilibrium model. Our model illustrates a tradeoff between aggregate productivity and inter-temporal allocative efficiency from capital account liberalization under financial repression. As a result, along a transition path with a declining SOE share, welfare-maximizing policy calls for rapid removal of financial repression, but gradual liberalization of the capital account.

wp2018-10_appendix.pdf – Supplemental appendix
LSZ_ReplicationCode.zip – Replication code

China implemented Basel III in 2013 and tightened bank capital regulations. Empirical evidence shows that the new regulations significantly reduced bank risk-taking following monetary policy easing. To meet the tightened capital requirements, banks respond to a balance-sheet expansion by raising the share of lending to state-owned enterprises (SOEs) that are perceived as low-risk borrowers under government guarantees. We estimate that a one standard deviation positive shock to M2 growth raises the probability of SOE lending by up to 27%. Raising the share of SOE lending, however, reduces aggregate productivity, creating a trade-off between financial stability and allocative efficiency.

The COVID-19 pandemic has raised concerns about the future of work. The pandemic may become recurrent and necessitate repeated adoptions of social distancing measures, creating substantial uncertainty about worker productivity. This column presents a theoretical framework suggesting that such job uncertainty reduces aggregate demand, and dampens business investment in general. However, automation may provide one way for businesses to cope with the uncertainty about worker productivity. It appears that pandemic-induced job uncertainty could stimulate automation investment, despite declines in aggregate demand.

We show that cyclical fluctuations in search intensity and recruiting
intensity are quantitatively important for explaining the weak job recovery
from the Great Recession. We demonstrate this result using an estimated
labor search model that features endogenous search and recruiting intensity.
Since the textbook model with free entry implies constant recruiting
intensity, we introduce a cost of vacancy creation, so that firms respond to
aggregate shocks by adjusting both vacancies and recruiting intensity.
Fluctuations in search and recruiting intensity driven by shocks to
productivity and the discount factor help bridge the gap between the actual
and model-predicted job filling rate.

wp2016-09_appendix.pdf – Supplemental appendix
Leduc-Liu-replication-files.zip – Replication files

We build a two-sector DSGE model to study reserve requirement adjustments, a frequently-used policy tool for macro-stabilization in China. State-owned enterprises
(SOEs) are financed by government-guaranteed bank loans, which are subject to reserve requirements, while private firms rely on unregulated off-balance sheet financing. Increasing reserve requirements reallocates resources to more productive private firms, raising aggregate
productivity, but also raises the incidence of SOE bankruptcy. Optimal reserve requirement adjustments are complementary to money supply adjustments for improving macroeconomic
stability and welfare. However, welfare gains are greater under sector-specific productivity shocks, which call for resource reallocation, than under aggregate productivity shocks.

wp2016-10_appendix.pdf – Supplemental Appendix
CLSZ_rep_code.zip – Replication code (zip)

China’s large-scale reform of state-owned enterprises (SOE) in the late 1990s provides a natural experiment for estimating precautionary savings. Before the reform, SOE workers enjoyed similar job security as government employees. The reform caused massive SOE layoffs, but government employees kept their “iron rice bowl.” The changes in the relative unemployment risks for SOE workers provide a clean identification of income uncertainty. With self-selection biases mitigated by focusing on government assigned jobs, precautionary savings account for about 40 percent of SOE households’ wealth accumulation. Moreover, demographic groups more vulnerable to the reform also accumulated more precautionary wealth.

The sharp appreciation of the U.S. dollar between mid-2014 and mid-2015 raised concerns in the U.S. and its major trading partners. Zheng Liu, Mark Spiegel, and Andrew Tai from the San Francisco Fed evaluate the impact of dollar appreciation on economic conditions in the United States and its three major Asian trading partners: South Korea, Japan, and China.

Exchange rate shocks have mixed effects on economic activity in both theory and empirical
VAR models. In this paper, we extend the empirical literature by considering the implications
of a positive shock to the U.S. dollar in a factor-augmented vector autoregression
(FAVAR) model for the U.S. and three large Asian economies: Korea, Japan and China. The
FAVAR framework allows us to represent a country’s aggregate economic activity by a latent
factor, generated from a broad set of underlying observable economic indicators. To control
for global conditions, we also include in the FAVAR a ‘‘global conditions index,” which is
another latent factor generated from the economic indicators of major trading partners.
We find that a dollar appreciation shock reduces economic activity and inflation not only
for the U.S. economy, but also for all three Asian economies. This result, which is robust
to a number of alternative specifications, suggests that in spite of their disparate economic
structures and policy regimes, the dollar appreciation shock affects the Asian economies primarily through its impact on U.S. aggregate demand; and this demand channel dominates
the expenditure-switching channel that affects a country’s export competitiveness.

Search frictions in the labor market give rise to a new option-value channel through which uncertainty affects aggregate economic activity, and the effects of which are reinforced by the presence of nominal rigidities. With these features, an increase in uncertainty resembles an aggregate demand shock because it increases unemployment and lowers inflation. Using a new empirical measure of uncertainty based on the Michigan survey and a VAR model, we show that these theoretical patterns are consistent with US data. Using a calibrated DSGE model, we show that combining search frictions and nominal rigidities can match the qualitative VAR pattern and account for about 70 percent of the empirical increase in unemployment following an uncertainty shock.

wp12-10bk_appendix.pdf – Supplemental Appendix

We integrate the housing market and the labor market in a dynamic general equilibrium model with credit and search frictions. We argue that the labor channel, combined with the standard credit channel, provides a strong transmission mechanism that can deliver a potential solution to the Shimer (2005) puzzle. The model is confronted with U.S. macroeconomic time series. The estimation results account for two prominent facts observed in the data. First, land prices and unemployment move in opposite directions over the business cycle. Second, a shock that moves land prices also generates the observed large volatility of unemployment.

China’s external policies, including capital controls, managed exchange rates, and sterilized interventions, constrain its monetary policy options for maintaining macro-
economic stability following external shocks. We study optimal monetary policy in a dynamic stochastic general equilibrium (DSGE) model that incorporates these “Chinese characteristics”. The model highlights a monetary policy tradeoff between domestic price stability and costly sterilization. The same DSGE framework allows us to evaluate the welfare implications of alternative liberalization policies. Capital account and exchange rate liberalization would have allowed the Chinese central bank to better stabilize the
external shocks experienced during the global financial crisis.

CLS_Erratum.pdf – Erratum
wp2012-13supplement_replication_files.zip – data for replication (276 kb)

Declines in interest rates in advanced economies during the global financial crisis resulted in surges in capital flows to emerging market economies and triggered advocacy of capital control policies. The paper evaluates the effectiveness for macroeconomic stabilization and the welfare implications of the use of capital account policies in a monetary DSGE model of a small open economy. The model features incomplete markets, imperfect asset substitutability, and nominal rigidities. In this environment, policymakers can respond to fluctuations in capital flows through capital account policies such as sterilized interventions and taxing capital inflows, in addition to conventional monetary policy. The welfare analysis suggests that optimal sterilization and capital controls are complementary policies.

This paper studies the empirical relevance of temptation and self-control using household-level data from the Consumer Expenditure Survey. We construct an infinite-horizon consumption-savings model that allows, but does not require, temptation and self-control in preferences. In the presence of temptation, a wealth–consumption ratio, in addition to consumption growth, becomes a determinant of the asset-pricing kernel, and the importance of this additional pricing factor depends on the strength of temptation. To identify the presence of temptation, we exploit an implication of the theory that a more tempted individual should be more likely to hold commitment assets such as individual retirement account (IRA) or 401(k) accounts. Our estimation provides empirical support for temptation preferences. Based on our estimates, we explore some quantitative implications of this class of preferences for capital accumulation in a neoclassical growth model and the welfare cost of the business cycle.

We argue that credit constraints not only amplify fundamental shocks,
they can also lead to self-fulfilling business cycles. We study a model with heterogeneous firms, in which imperfect contract enforcement implies that productive firms face binding credit constraints, with the borrowing capacity limited by expected equity value. A drop in equity value tightens credit constraints and reallocates resources from productive to unproductive firms. Such reallocation reduces aggregate productivity, further depresses equity value, generating a financial multiplier. Aggregate dynamics are isomorphic to those in a representative-agent economy with increasing returns. For sufficiently tight credit constraints, the model generates self-fulfilling business cycles.

Nominal rigidities are known to be important for the transmission of monetary policy. We argue that nominal rigidities are important also for the transmission of technology shocks, especially for explaining their effects on hours and real wages. Evidence suggests that a positive technology shock leads to a short-run decline in labor hours and a gradual rise in real wages. We examine the ability of an RBC model augmented with real frictions, a pure sticky-price model, a pure sticky-wage model, and a model combining sticky prices and sticky wages in accounting for this evidence. For each model, we examine the implications of the Frisch elasticity of hours and the extent of monetary policy accommodation for the results. We show that both sticky prices and sticky nominal wages are important for explaining the observed effects of technology shocks on labor market variables. This finding is robust and it holds with a small Frisch elasticity of hours and a relatively high frequency of price re-optimization that are consistent with microeconomic evidence

We argue that positive co-movements between land prices and business investment
are a driving force behind the broad impact of land-price dynamics on the macroeconomy. We develop an economic mechanism that captures the co-movements by incorporating two key features into a DSGE model: We introduce land as a collateral asset in firms’ credit constraints, and we identify a shock that drives most of the observed fluctuations in land prices. Our estimates imply that these two features combine to generate an empirically important mechanism that amplifies and propagates macroeconomic fluctuations through the joint dynamics of land prices and business investment.

Housing is an important component of the consumption basket. Since both rental prices and goods prices are sticky, the literature suggests that optimal monetary policy should stabilize both types of prices, with the optimal weight on rental inflation proportional to the housing expenditure share. In a two-sector DSGE model with sticky rental prices and goods prices, however, we find that the optimal weight on rental inflation in the Taylor rule is small—much smaller than that implied by the housing expenditure share. We show that the asymmetry in policy responses to rent inflation versus goods inflation stems from the asymmetry in factor intensity between the two sectors.

wp10-05bk.pdf – Working paper version, FRBSF WP2010-05

We examine the sources of macroeconomic fluctuations by estimating a variety of richly parameterized DSGE models within a unified framework that incorporates regime switching both in shock variances and in the inflation target. We propose an efficient methodology for estimating regime-switching DSGE models. Our counterfactual exercises show that changes in the inflation target are not the main driving force of high inflation in the 1970s. The model that best fits the U.S. time-series data is the one with synchronized shifts in shock variances across two regimes, and the fit does not rely on strong nominal rigidities. We provide evidence that a shock to the capital depreciation rate, which resembles a financial shock, plays a crucial role in accounting for macroeconomic fluctuations.

wp09-01bk.pdf – Working paper version, FRBSF WP2009-01

This paper addresses two substantive issues: (1) Does the magnitude of the expectation effect of regime switching in monetary policy depend on a particular policy regime? (2) Under which regime is the expectation effect quantitatively important? Using two canonical DSGE models, we show that there exists asymmetry in the expectation effect across regimes. The
expectation effect under the dovish policy regime is quantitatively more important than that under the hawkish regime. These results suggest that the possibility of regime shifts in monetary policy can have important effects on rational agents’ expectation formation and on equilibrium dynamics. They offer a theoretical explanation for the empirical possibility that a policy shift from the dovish regime to the hawkish regime may not
be the main source of substantial reductions in the volatilities
of inflation and output.

This study explores the macroeconomic implications of adaptive expectations in a standard growth model. We show that the self-confirming equilibrium under adaptive expectations is the same as the steady-state rational expectations equilibrium for all admissible parameter values, but that dynamics around the steady state are substantially different between the two equilibria. The differences are driven mainly by the dampened wealth effect and the strengthened intertemporal substitution effect, not by escapes emphasized by Williams (2003).  Consequently, adaptive expectations can be an important source of frictions that amplify and propagate technology shocks and seem promising for generating plausible labor market dynamics.

In a two country world where each country has a traded and a nontraded sector and each sector has sticky prices, optimal independent policy in general cannot replicate the natural-rate allocations. There are potential welfare gains from coordination since the planner under a cooperating regime internalizes a terms-of-trade externality that independent policymakers overlook. If the countries
have symmetric trading structures, however, the gains from coordination are quantitatively small. With asymmetric trading structures, the gains can be sizable since, in addition to internalizing the terms-of-trade externality, the planner optimally engineers a terms-of-trade bias that favors thecountry with a larger traded sector.

Wage inequality between education groups in the United States has increased substantially since the early 1980s. The relative number of college-educated workers has also increased dramatically in the postwar period. This paper presents a unified framework where the dynamics of both skill accumulation and wage inequality arise as an equilibrium outcome driven by measured investment-specific technological change. Working through equipment-skill complementarity and endogenous skill accumulation, the model does well in capturing the steady growth in the relative quantity of skilled labor during the postwar period and the substantial rise in wage inequality after the early 1980s. Based on the calibrated model, we examine the quantitative effects of some hypothetical tax-policy reforms on skill accumulation, wage inequality, and welfare.

A positive technology shock may lead to a rise or a fall in per capita hours, depending on how hours enter the empirical VAR model. We provide evidence that, independent of how hours enter the VAR, a positive technology shock leads to a weak response in nominal wage inflation, a modest decline in price inflation, and a modest rise in the real wage in the short run and a permanent rise in the long run. We then examine the ability of several competing theories to account for this VAR evidence. Our preferred model features sticky prices, sticky nominal wages, and habit formation. The same model also does well in accounting for the labor market evidence in the post-Volcker period.

International trade in intermediate inputs and, increasingly, in goods produced at multiple stages of processing has been widely studied in the real trade literature. We assess the role of this feature of modern world trade in accounting for some stylized facts about international business cycles. Our model with staggered prices and trade in intermediates across four stages of processing does well in explaining the observed international correlations in aggregate quantities, and it performs much better than a single-stage model with no trade in intermediates. The model in itself does not provide a full account of the cyclical behavior of the real exchange rate, but, compared to the single-stage model, it moves in the right direction.

We study international transmissions and welfare implications of monetary shocks in a two-country world with multiple stages of production and multiple border-crossings of intermediate goods. This empirically relevant feature is important, as it has opposite implications for two external spillover effects of a unilateral monetary expansion. If all production and trade are assumed to occur in a single stage, the conflict-of-interest terms-of-trade effect tends to dominate the common-interest efficiency-improvement effect for reasonable parameter values, so that the international welfare effects would depend in general on the underlying assumptions about the currencies of price setting. The stretch of production and trade across multiple stages of processing magnifies the efficiency-improvement effect and dampens the terms-of-trade effect. Thus, a monetary expansion can be mutually beneficial regardless of its source or the pricing assumptions.

In an economy with nominal rigidities in both an intermediate good sector and a finished good sector, and thus with a natural distinction between CPI and PPI inflation rates, a benevolent central bank faces a tradeoff between stabilizing the two measures of inflation, a final output gap and, unique to our model, a real marginal cost gap in the intermediate sector, so that optimal monetary policy is second-best. We discuss how to implement the optimal policy with minimal information requirement and evaluate the robustness of these simple rules when the central bank may not know the exact sources of shocks or nominal rigidities. A main finding is that a simple hybrid rule under which the short-term interest rate responds to CPI inflation and PPI inflation results in a welfare level close to the optimum, whereas policy rules that ignore PPI inflation or PPI sector shocks can result in significant welfare losses.

This paper presents a cash-in-advance model of a small open economy and shows that whether an inflation-targeting interest rate rule introduces aggregate instability depends in general on the degree of openness to international trade. This result emerges regardless of whether prices are sticky or flexible. In a closed economy, as the monetary authority responds to movements in inflation, the resulting changes in interest rates affect aggregate consumption through an intertemporal substitution effect and an inflation tax effect. In a small open economy, this policy also induces changes in the terms of trade, which, depending on the degree of openness, can generate counteracting effects on consumption. As a consequence, the implications of interest rate rules on macroeconomic stability in an open economy differ from those in a closed economy.

The cyclical behavior of real wages has evolved from mildly countercyclical during the interwar period to modestly procyclical in the postwar era. This paper presents a general equilibrium business-cycle model that helps explain the evolution. In the model, changes in the real wage cyclicality arise from interactions between nominal wage and price rigidities and an evolving input-output structure.

This paper revisits an important issue concerning the persistent real effect of a shock to monetary policy. Although recent sentiment has shifted away from price stickiness toward wage stickiness in explaining persistence, the present paper shows that introducing an input output structure tends to make the former an equally important monetary transmission mechanism. Under staggered wage setting, the well-known relative-wage effect is the only source of endogenous sluggishness in wage, and thus price, adjustments, regardless of whether there is an intermediate input. Under staggered price setting, relative wages are constant, but the presence of an intermediate input creates a real-wage effect that prevents nominal wages from deviating too much from a sticky intermediate-input price. Meanwhile, stickiness in the intermediate-input price translates directly into sluggishness in marginal-cost movement. This reinforces the endogenous rigidity in the nominal wages and makes firms pricing decisions even more rigid. Thus, although it makes no difference in output dynamics under staggered wage setting, the input output structure improves the ability of staggered price setting in generating persistence. As a consequence, the conventional wisdom on the equivalence of price and wage staggering may continue to hold for some reasonable parameter values.