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1.
Two monetary policy rules, the money supply (quantity) rule and interest rate (price) rule, are explored for China in a dynamic stochastic general equilibrium model. The empirical results seem to indicate that the price rule is likely to be more effective in managing the macroeconomy than the quantity rule, favoring the government’s intention of liberalizing interest rates and making a more active use of the price instrument. Moreover, the economy would have experienced less fluctuations had interest rate responded more aggressively to inflation. 相似文献
2.
Kenichi Tamegawa; 《Bulletin of economic research》2024,76(2):529-544
This study investigates the role of money illusion (MI) in a dynamic stochastic general equilibrium model. We introduce MI such that households, in their intertemporal optimization, erroneously recognize nominal variables as real ones. We find that first, our model could exhibit money nonneutrality in the long run; second, the Taylor principle is a sufficient condition for determinacy but not a necessary condition; third, the response to output in monetary policy rule matters for the model not to exhibit money nonneutrality in the long run; and finally, MI could flatten the slope that represents the output-inflation trade-off. 相似文献
3.
Sergey Slobodyan 《Journal of Economic Dynamics and Control》2012,36(1):26-46
We evaluate the empirical relevance of learning by private agents in an estimated medium-scale DSGE model. We replace the standard rational expectations assumption in the Smets and Wouters (2007) model by a constant-gain learning mechanism. If agents know the correct structure of the model and only learn about the parameters, both expectation mechanisms produce very similar results, and only the transition dynamics that are generated by specific initial beliefs seem to improve the fit. If, instead, agents use only a reduced information set in forming the perceived law of motion, the implied model dynamics change and, depending on the specification of the initial beliefs, the marginal likelihood of the model can improve significantly. These best-fitting models add additional persistence to the dynamics and this reduces the gap between the IRFs of the DSGE model and the more data-driven DSGE-VAR model. However, the learning dynamics do not systematically alter the estimated structural parameters related to the nominal and real frictions in the DSGE model. 相似文献
4.
齐杨 《山东财政学院学报》2014,(4):14-22
以我国金融市场特征为变量,通过衡量利率传导程度以确定我国金融市场结构特征,运用三部门DSGE模型,分析成本渠道在货币传导机制中的表现.尽管我国利率传导程度不高,但是利率冲击对产出和价格的作用是显著的.成本渠道在发展中金融市场和发达金融市场中的表现差异较大,反映出我国金融市场体制不够健全,还存在着一定的市场摩擦,这提高了厂商与银行的交易成本;我国的制造业以劳动密集型企业为主,这种生产模式提高了企业对融资成本的敏感程度,增加了成本渠道在我国经济中的影响力. 相似文献
5.
DARIA FINOCCHIARO VIRGINIA QUEIJO VON HEIDEKEN 《Journal of Money, Credit and Banking》2013,45(8):1659-1683
We estimate the Federal Reserve's, the Bank of England's, and the Bank of Japan's responses to house prices. We show that generalized method of moments estimates of a Taylor rule augmented with house prices are biased and dispersed. We then use full‐information methods and estimate the policy rule together with a VAR for the nonpolicy variables. These estimates are also biased. We propose an alternative approach and estimate a dynamic stochastic general equilibrium model embedded with a monetary rule with a direct response to house prices. We find that house prices played a separate role in the reaction functions of these central banks. 相似文献
6.
《International Journal of Forecasting》2019,35(2):580-600
We compare real-time density forecasts for the euro area using three DSGE models. The benchmark is the Smets and Wouters model, and its forecasts of real GDP growth and inflation are compared with those from two extensions. The first adds financial frictions and expands the observables to include a measure of the external finance premium. The second allows for the extensive labor-market margin and adds the unemployment rate to the observables. The main question that we address is whether these extensions improve the density forecasts of real GDP and inflation and their joint forecasts up to an eight-quarter horizon. We find that adding financial frictions leads to a deterioration in the forecasts, with the exception of longer-term inflation forecasts and the period around the Great Recession. The labor market extension improves the medium- to longer-term real GDP growth and shorter- to medium-term inflation forecasts weakly compared with the benchmark model. 相似文献
7.
We estimate a Dynamic Stochastic General Equilibrium (DSGE) model with various financial frictions and analyze how well the model explains the Great Recession. Predictive analysis shows that the model can only slightly better explain the large deviation from trend during the crisis relative to a model without financial frictions. Specifically, the risk premium shock, which is a shock to the external finance premium of the entrepreneurs׳ leverage, explains the largest part of the investment downfall during the crisis. However, the ‘balance sheet’ channel of financial frictions in the model, which structurally links balance sheet conditions of financial intermediaries and nonfinancial borrowers to their borrowing rates, is estimated to be weak. We examine alternative prior specifications for how the financial frictions enter the model and continue to find a limited role for these frictions. Rolling-window estimation provides evidence for substantial time variation in parameters governing financial frictions. We conclude that the well-known financial frictions studied in this paper are not able to explain the financial crisis in a linearized and estimated model. 相似文献
8.
《International Journal of Forecasting》2019,35(4):1226-1239
We employ datasets for seven developed economies and consider four classes of multivariate forecasting models in order to extend and enhance the empirical evidence in the macroeconomic forecasting literature. The evaluation considers forecasting horizons of between one quarter and two years ahead. We find that the structural model, a medium-sized DSGE model, provides accurate long-horizon US and UK inflation forecasts. We strike a balance between being comprehensive and producing clear messages by applying meta-analysis regressions to 2,976 relative accuracy comparisons that vary with the forecasting horizon, country, model class and specification, number of predictors, and evaluation period. For point and density forecasting of GDP growth and inflation, we find that models with large numbers of predictors do not outperform models with 13–14 hand-picked predictors. Factor-augmented models and equal-weighted combinations of single-predictor mixed-data sampling regressions are a better choice for dealing with large numbers of predictors than Bayesian VARs. 相似文献
9.
We construct a DSGE-VAR model for competing head to head with the long history of published forecasts of the Reserve Bank of New Zealand. We also construct a Bayesian VAR model with a Minnesota prior for forecast comparison. The DSGE-VAR model combines a structural DSGE model with a statistical VAR model based on the in-sample fit over the majority of New Zealand’s inflation-targeting period. We evaluate the real-time out-of-sample forecasting performance of the DSGE-VAR model, and show that the forecasts from the DSGE-VAR are competitive with the Reserve Bank of New Zealand’s published, judgmentally-adjusted forecasts. The Bayesian VAR model with a Minnesota prior also provides a competitive forecasting performance, and generally, with a few exceptions, out-performs both the DSGE-VAR and the Reserve Bank’s own forecasts. 相似文献
10.
文章为分析我国经济外部失衡问题,运用当前国际经济学领域先进的动态随机一般均衡(DSGE)两国模型研究方法,模拟了在不同消费替代弹性下以技术冲击为代表的供给冲击和以货币冲击为代表的需求冲击对一国经济外部失衡的影响。研究结果表明这两种冲击发生后该国的外部资产和汇率水平会从初始的0均衡状态偏离,而到最终收敛大约需要10年到15年的时间。这可以很好地解释当前我国的经济外部失衡,文章也依此提出了相应的政策建议。 相似文献