Capital controls and optimal Chinese monetary policy

China׳s external policies, including capital controls, managed exchange rates, and sterilized interventions, constrain its monetary policy options for maintaining macroeconomic 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.     

Equilibrium exchange rate determination and multiple structural changes

The large appreciation and depreciation of the US Dollar in the 1980s stimulated an important debate on the usefulness of unit root tests in the presence of structural breaks. In this paper, we propose a simple model to describe the evolution of the real exchange rate. We then propose a more general smooth transition (STR) function than has hitherto been employed, which is able to capture structural changes along the (long-run) equilibrium path, and show that this is consistent with our economic model. Our framework allows for a gradual adjustment between regimes and allows for under- and/or over-valued exchange rate adjustments. Using monthly and quarterly data for up to twenty OECD countries, we apply our methodology to investigate the univariate time series properties of CPI-based real exchange rates with both the U.S. Dollar and German Mark as the numeraire currencies. The empirical results show that, for more than half of the quarterly series, the evidence in favor of the stationarity of the real exchange rate was clearer in the sub-sample period post-1980.     

中国季度GDP的即时预测与混频分析

及时、准确地获得GDP短期预测值对于宏观调控和企业决策至关重要。本文在收集我国实时碎尾数据集的基础上,采用混频动态因子模型,将我国季度GDP的预测频率由“季度”提高到“日度”。研究结果表明,相对于混频抽样模型以及MFVAR等现有模型,混频动态因子模型能够有效解决实时预测中需要面临的数据问题,包括混频指标、碎尾特征、数据的周期性缺失等。本文模型在每个数据发布日,均可更新GDP的预测结果,这不仅将最新的经济活动信息迅速地体现到GDP预测中,而且显著提高了GDP即时预测的准确性,且预测结果随着月度数据信息的增加趋近于GDP真实值。此外,本文还估算了拟GDP季度同比增长率和GDP月度同比增长率两个月度数据序列,为我国宏观经济监测与政策分析提供一定的数据支撑。     

The Quantitative Importance of News Shocks in Estimated DSGE Models

We estimate a dynamic stochastic general equilibrium (DSGE) model with several frictions and both unanticipated and news shocks, using quarterly U.S. data from 1954 to 2004 and Bayesian methods. We find that unanticipated shocks dominate news shocks in accounting for the unconditional variance of output, consumption, and investment growth, interest rate, and the relative price of investment. The unanticipated shock to the marginal efficiency of investment is the dominant shock, accounting for over 45% of the variance in output growth. News shocks account for less than 15% of the variance in output growth. Within the set of news shocks, nontechnology sources of news dominate technology news, with wage markup news shocks accounting for about 60% of the variance share of both hours and inflation. We find that in the estimated DSGE model (i) the presence of endogenous countercyclical price and wage markups due to nominal frictions substantially diminishes the importance of news shocks relative to a model without these frictions, and (ii) while there is little change in the estimated contributions of technology news when we restrict wealth effects on labor supply, the contributions of nontechnology news shocks are relatively more sensitive.     

Monetary policy shocks and financial conditions: A Monte Carlo experiment

The effects of monetary policy shocks on financial conditions are often estimated by appealing to recursive Vector AutoRegressions (VARs). We assess the ability of this class of VARs to recover the true effects of a monetary policy shock via a Monte Carlo experiment in which the Data Generating Process is a Dynamic Stochastic General Equilibrium (DSGE) model featuring macro-finance interactions and estimated with U.S. quarterly data. Our DSGE model predicts a negative and significant reaction of financial conditions to an unexpected monetary policy tightening. We point out that such reaction is just overlooked by recursive VARs. Moreover, we show that Cholesky-VARs may substantially underestimate the welfare costs due to macroeconomic fluctuations.     

Evolving Macroeconomic Dynamics in a Small Open Economy: An Estimated Markov Switching DSGE Model for the UK

This paper investigates the possibility of shifts in the UK economy using a Markov switching open economy dynamic stochastic general equilibrium (DSGE) model. We find overwhelming evidence to reject the hypothesis that the deep structural parameters of the underlying structural model had stayed constant throughout the sample period and there is significant changes to the volatility of the structural shocks. Counterfactual experiments based on the model with the best empirical fit indicate that the change in the policy rule as well as changes to the volatility of the structural shocks over the sample period are crucial features in explaining UK’s macroeconomic performance.     

The value relevance of timely information: The case of comparable store sales growth

Investors and analysts have called for more timely disclosure of corporate information. Responding to these demands, some retail firms issue comparable store sales (CSS) on a monthly or a quarterly basis in addition to an annual basis. This study examines whether a timely disclosure of CSS provides value-relevant information to market participants by examining investors' and financial analysts' responses at the time of CSS disclosures (short-horizon) and over the month or the quarter (long-horizon). We find that both monthly and quarterly CSS are associated with contemporaneous market returns and analyst forecast revisions. More importantly, we find that quarterly CSS news becomes less important to investors when firms provide more timely CSS information, indicating that monthly CSS reports may preempt the information content of quarterly CSS. Additional tests show that investors and analysts rely less on CSS if CSS news and earnings (sales) news are inconsistent.     

Sources of exchange rate fluctuations: Are they real or nominal?

I analyze the role of real and monetary shocks on exchange rate behavior using a structural vector autoregressive model of the US vis-à-vis the rest of the world. The shocks are identified using sign restrictions on the responses of the variables to orthogonal disturbances. These restrictions are derived from the predictions of a two-country DSGE model. I find that monetary shocks are unimportant in explaining exchange rate fluctuations. By contrast, demand shocks explain between 21% and 37% of exchange rate variance at 4-quarter and 20-quarter horizons, respectively. The contribution of demand shocks plays an important role but not of the order of magnitude sometimes found in earlier studies. My results, however, support the recent focus of the literature on real shocks to match the empirical properties of real exchange rates.     

Capital Inflows and the U.S. Housing Boom

We estimate an open‐economy vector autoregressive (VAR) model to study the effect of capital‐inflow shocks on the U.S. housing market. We look at different external shocks that generate capital inflows to the U.S., in particular “saving‐glut” shocks and foreign monetary‐policy expansions. The shocks are identified with theoretically robust sign restrictions derived from an open‐economy dynamic stochastic general equilibrium (DSGE) model. Our findings suggest that capital inflows that result from “saving‐glut” shocks have a positive and persistent effect on real house prices and real residential investment.     

金融周期对房地产价格的影响——基于SV-TVP-VAR模型的实证研究

本文利用2004-2016年的季度数据构建金融周期综合指数,用以描述金融市场景气程度;使用SV-TVP-VAR模型,围绕金融周期对我国房地产价格的影响进行实证研究。结果表明,金融周期对房地产价格的影响具有明显的时变性特征:2008年以前金融市场繁荣对房价有稳定推升作用,2008年后该影响持续弱化;与之类似,实体经济对房价的影响同样自2008年起逐渐减小。这意味着,在经济增长方式转变和经济结构调整的过程中,我国房地产价格对经济金融冲击的敏感度已经大幅下降,金融扩张可能难以再通过房地产市场有效带动实体经济的繁荣,相反,其反而可能导致银行贷款不良率的攀升,在金融系统内积累系统性风险。我国针对房地产的宏观调控政策不仅对控制贷款不良率的提高体现出积极作用,而且自2008年国际金融危机以来,产出及房价的随机波动率均呈显著下降趋势,风险得到有效控制。未来应更加重视房地产市场调控在宏观审慎政策框架中的重要地位,遏制房地产金融化泡沫化势头,防范房地产市场引发金融危机。     

Expectations as a source of macroeconomic persistence: Evidence from survey expectations in a dynamic macro model

Embedding survey expectations in a standard DSGE model helps to identify key slope parameters in standard relationships; dramatically reduces the need for lagged dependent variables, often motivated by price-indexation and habit formation; and obviates the need for autocorrelated structural shocks in the key equations. Formal statistical tests demonstrate that much of the persistence in aggregate data is better accounted for by slow-moving expectations, rather than by habits, indexation and autocorrelated structural shocks.     

Dealing with financial instability under a DSGE modeling approach with banking intermediation: A predictability analysis versus TVP-VARs

In the dynamic stochastic general equilibrium (DSGE) literature there has been an increasing awareness on the role that the banking sector can play in macroeconomic activity. We present a DSGE model with financial intermediation as in Gertler and Karadi (2011). The estimation of shocks and of the structural parameters shows that time-variation should be crucial in any attempted empirical analysis. Since DSGE modelling usually fails to take into account inherent nonlinearities of the economy, we propose a novel time-varying parameter (TVP) state-space estimation method for VAR processes both for homoskedastic and heteroskedastic error structures. We conduct an exhaustive empirical exercise to compare the out-of-sample predictive performance of the estimated DSGE model with that of standard ARs, VARs, Bayesian VARs and TVP-VARs. We find that the TVP-VAR provides the best forecasting performance for the series of GDP and net worth of financial intermediaries for all steps-ahead, while the DSGE model outperforms the other specifications in forecasting inflation and the federal funds rate at shorter horizons.     

Bank size and macroeconomic shock transmission: Does the credit channel operate through large or small banks?

In this paper, I use U.S. call report data to construct a larger panel dataset with bank-level observations. I find that larger banks' lending is considerably more sensitive to the strength of their borrowers' and their own balance sheets compared to smaller banks and that the sensitivities to borrower balance sheets are larger in magnitude compared to lender balance sheets. When I incorporate various macroeconomic shocks (identified by an estimated DSGE model) into the empirical model, I similarly find that the transmission of shocks to the real economy operates mostly through large bank lending and borrower balance sheets.     

Oil price shocks and their transmission mechanism in an oil-exporting economy: A VAR analysis informed by a DSGE model

This paper examines the macroeconomic effects of oil price shocks and the oil shock transmission mechanism in an oil-exporting country, Canada. We use a structural VAR with sign restrictions that comes from a two-country dynamic stochastic general equilibrium (DSGE) model to jointly identify oil price, domestic supply and U.S. and domestic monetary policy shocks. This identification strategy not only controls for reverse causality from the Canadian and U.S. macroeconomic conditions to the real oil prices, but more importantly, it also allows for contemporaneous interactions between the Canadian and U.S. variables. We find that oil shocks have a stimulative effect on Canadian aggregate demand, appreciate the Canadian dollar, improve the terms of trade and reduce real wages. Foreign disturbances, including innovations in oil prices and the U.S. interest rate, have a significant influence on Canadian economic activities. Our counterfactual analysis indicates that the reaction of the U.S. interest rate as an indirect transmission channel for oil price shocks plays a moderate role in explaining the real exchange rate and inflation, but has negligible impacts on the Canadian output and interest rate.     

Non-stationary Hours in a DSGE Model

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Using Bayesian methods we estimate a stochastic growth model in which hours worked are stationary and a modified version with permanent labor supply shocks. If firms can freely adjust labor inputs, the data support the latter specification. Once we introduce frictions in terms of labor adjustment costs, the overall time series fit improves and the model specification in which labor supply shocks and hours worked are stationary is preferred.     

Sufficient information in structural VARs

Necessary and sufficient conditions under which a VAR contains sufficient information to estimate the structural shocks are derived. On the basis of this theoretical result we propose two simple tests to detect informational deficiency and a procedure to amend a deficient VAR. A simulation based on a DSGE model with fiscal foresight suggests that our method correctly identifies and fixes the informational problem. In an empirical application, we show that a bivariate VAR including unemployment and labor productivity is informationally deficient. Once the relevant information is included into the model, technology shocks appear to be contractionary.     

Distributional dynamics under smoothly state-dependent pricing

Starting from the assumption that firms are more likely to adjust their prices when doing so is more valuable, this paper analyzes monetary policy shocks in a DSGE model with firm-level heterogeneity. The model is calibrated to retail price microdata, and inflation responses are decomposed into “intensive”, “extensive”, and “selection” margins. Money growth and Taylor rule shocks both have nontrivial real effects, because the low state dependence implied by the data rules out the strong selection effect associated with fixed menu costs. The response to sector-specific shocks is gradual, but inappropriate econometrics might make it appear immediate.     

Responses of REITs index and commercial property prices to economic uncertainties: A VAR analysis

We use market participants’ perceived uncertainty to investigate the response of real estate investment trusts index (REITs Index) and commercial property prices to shocks in economic uncertainty. Using US quarterly data and applying a vector autoregression (VAR) model, our results show that an increase in market participants’ perceived uncertainty leads to a significant drop in the REITs Index and commercial property prices. In addition, we show that the REITs Index responds quicker to the uncertainty shocks than the commercial property prices. Our findings provide important implications for investors.     

Credit crunch in a small open economy

We construct an open-economy DSGE model with a banking sector to analyze the impact of the recent credit crunch on a small open economy. In our model the banking sector operates under monopolistic competition, collects deposits and grants collateralized loans. Collateral effects amplify monetary policy actions, interest rate stickiness dampens the transmission of interest rates, and financial shocks generate non-negligible real and nominal effects. As an application we estimate the model for Poland-a typical small open economy. According to the results, financial shocks had a substantial, though not overwhelming, impact on the Polish economy during the 2008/09 crisis, lowering GDP by approximately 1.5 percent.     

Tax Evasion,Investment Shocks,and the Consumption Puzzle: A DSGE Analysis with Financial Frictions

Recent studies identify Marginal Efficiency of Investment (MEI) shocks as important drivers of the business cycle. However, Dynamic Stochastic General Equilibrium (DSGE) models struggle to explain macroeconomic comovements between consumption and the key real variables after a MEI shock. Moreover, engaging in tax evasion practices is often an answer to financial constraints, which have been recognized as important determinants of cyclical fluctuations as well. We use a medium-scale New Keynesian DSGE model, that combines tax evasion with financial frictions, to simulate a MEI shock. We show that entrepreneurial tax evasion can solve the comovement problem to a fair extent.