DEBT NONNEUTRALITY,POLICY INTERACTIONS,AND MACROECONOMIC STABILITY*

We study the consequences of nonneutrality of government debt for macroeconomic stabilization policy in a sticky‐price model. Ricardian equivalence fails because debt has a negative impact on its rate of return and on private savings, which is induced by assuming transaction services of bonds. Under aggressive monetary policy regimes, macroeconomic fluctuations tend to be stabilized if nominal budget deficits are low. A smooth debt path limits inflation expectations, such that inflation variances can be reduced. Under a balanced budget policy, the central bank's output gap–inflation volatility trade‐off is improved relative to an environment where debt is neutral.     

The purity of impure public goods

In this paper, we provide a new perspective on the links between the analysis of the voluntary provision of pure and impure public goods. In particular, it is shown that the impure public good model can be transformed into a pure public good one. This innovative method not only leads to new comparative statics results, but also provides new insights on the impure public good model, for example, on causes of the nonneutrality of income transfers with regard to Nash equilibria in the impure public good case.     

The nonneutrality of money and employment rates: Tobin and taxation effects

This paper demonstrates sufficient conditions for a system of income taxation to create a negative relationship between the steady-state rates of fully anticipated inflation and employment. The model examined is an extension of the one developed by Fischer (1979) to demonstrate the nonneutrality of money in an economy where inflation is accurately anticipated in the long-run equilibrium.     

MONETARY POLICY,FINANCIAL CONSTRAINTS,AND REDISTRIBUTION

This article examines how financial constraints affect redistribution via monetary policy. We explore a novel mechanism of monetary nonneutrality, which is based on debt limits imposed in nominal terms. Specifically, when debt is constrained by current income, monetary policy can alter the real terms of borrowing. Changes in inflation exert ambiguous effects, depending on the initial debt/wealth position and the willingness to borrow. We show analytically that borrowers can benefit from increased debt limits under lower inflation rates. This novel effect can dominate conventional debt deflation effects. We find that particularly less indebted borrowers as well as potential future borrowers gain and that aggregate welfare can be enhanced under a permanent reduction in inflation.     

Relative importance of sticky prices and sticky information in price setting

The relative importance of price and information stickiness in price setting to model and explain inflation dynamics is investigated in this study. A structural model of inflation is developed and used which combines two different models of price setting behavior: the sticky price model of the New Keynesian literature and the sticky information model of Mankiw and Reis. In a framework similar to the Calvo model, I assume that there are two types of firms. One type of firm chooses its prices optimally through forward-looking behavior—as assumed in the sticky price model. It uses all available information when deciding on prices. The other type of firm sets its prices under the constraint that the information it uses is “sticky”—as assumed in the sticky information model. It collects and processes the information necessary to choose its optimal prices with a delay. This leads to the sticky price–sticky information (SP/SI) Phillips curve that nests the standard sticky price and sticky information models. Estimations of this structural model show that both sticky price and sticky information models are statistically and quantitatively important for price setting. However, the sticky price firms make up the majority of the firms in the economy. The results are robust to alternative sub-samples and estimation methods.     

Price dynamics in an exchange economy

The pure exchange model is the foundation of the neoclassical theory of value, yet equilibrium predictions and price adjustment dynamics for this model remained untested prior to the experiment reported in this paper. With the exchange economy replicated several times, prices and allocations in most experiment sessions adjust toward the competitive equilibrium in continuous double auction trading, though adjustment is much slower than in previous commodity flow (or perishable good) double auction market experiments. Price adjustment is evaluated by comparing its extent within each market replication (or trading period) to its extent across trading periods. More price adjustment occurs within trading periods than across trading periods, so price adjustment data are evaluated with the disequilibrium Hahn process model (Hahn and Negishi in Econometrica 30:463–469, 1962) of within-period trades. This paper introduces a stochastic version the Hahn process model and demonstrates that a linear approximation to this stochastic model yields an autoregressive process with a near unit root when the adjustment rate is low. In effect, the autoregressive price adjustment model studied extensively by time series econometricians over the past 30 years can be viewed as a reduced form of a stochastic disequilibrium exchange economy price adjustment model. Estimation of the model demonstrates that price adjustment in the exchange economy experiment is considerably slower than in economies without income effects, which suggests that the price discovery process may be a significant factor in the slow adjustment documented by applied econometricians.     

Multi-item EOQ model while demand is sales price and price break sensitive

In this paper, the authors study a multi-item deterministic EOQ (economic order quantity) model for a vendor when the demand rate of the essential commodities decreases quadratically with increasing sales price and increase exponentially with increasing level of price breaks. A price discount is offered to the customers when the revenue of the vendor crosses the level of price break. The main aim of the present article is to find out the optimal order quantities, optimal selling prices and optimal level of price break in order to maximize the average profit of the whole products. Numerical examples are also illustrated to test of our proposed model.     

异质信念、投机均衡与农产品期货定价*

农产品期货市场套利并不充分,交易者也不是完全理性的。本文假设农产品期货市场有限套利、交易者异质信念并遵循“经验法则”预期,构建了农产品期货投机均衡定价模型,并认为集中竞价规则下产生的农产品期货价格是由交易者的预期决定的;前期期货价格水平、现货价格和前期期货价格的变动趋势、不同类型交易者的比例结构及其预期模式共同影响农产品期货价格的形成与波动;基本分析法交易者占主导地位的农产品期货市场具有更高的套期保值与价格发现效率。针对中国七种主要农产品期货的实证结果显示,农产品期货投机均衡定价模型对解释中国农产品期货价格的形成与波动是有效的。这意味着在期货行情系统中实时披露现货价格信息,培育和引导交易者运用基本分析法预测期货价格走势,有助于提升农产品期货市场的效率。     

Approximate tâtonnement processes

Summary We introduce a probabilistic model for price adjustment in an exchange economy which approximates the classical Walras tâtonnement process while avoiding many of its unrealistic features. The model is decentralized in that the trades permitted to an agent and the resulting price changes depend only on the commodity vector currently held by that agent, and not on the commodity vectors held by the other agents in the economy. Our results will show that the Walras tâtonnement process can be decentralized without changing its behavior on the macroeconomic scale. Our model has a finite set of commodities, a market maker who adjusts prices, and a large finite set of agents who trade only with the market maker. Each agent has a demand function depending on his commodity vector and the price vector. At each discrete time, one agent is chosen at random and exchanges his current commodity vector for his demand vector. Then the market maker adjusts the price vector by an amount which depends on the selected agent's commodity vector and the current price. Prices are adjusted rapidly enough to avoid prolonged trading at the wrong price, but slowly enough so that a substantial price change will depend on a significant simple of agents. The main result shows that with probability arbitrarily close to one the price will rapidly approach and then remain close to an equilibrium value, following a path which is close to the price path of the corresponding tâtonnement process.     

中国房市与股市关联度研究

本文从投资回报角度构建了一个房地产空间市场与房地产资本市场关联度的理论模型。该理论模型显示,本期股价与本期房价呈正相关关系,与下期房价呈负相关关系。本文采用系统GMM估计法对深沪两市61家房地产上市公司1996—2007年度的数据进行实证分析,结果发现,房市与股市具有很强关联度,但房市对股市影响大于股市对房市影响。其次,租金变动对房价和股价变动无显著影响。最后,房价波动具有明显序列相关性,而股价波动具有随机游走特征。     

Strategic competition and optimal parallel import policy

Abstract In a two‐country Hotelling type duopoly model of price competition, we show that parallel import (PI) policy can act as an instrument of strategic trade policy. The home firm’s profit is higher when it cannot price discriminate internationally if and only if the foreign market is sufficiently bigger than the domestic one. The key mechanism in the model is that the home firm’s incentive to keep its domestic price close to the optimal monopoly price affects its behavior during price competition abroad. We also analyze the welfare implications of PI policies and show that our key insights extend to quantity competition.     

宏观共同因子、特质因子以及货币政策对中国各线城市房价的影响——基于FAVAR模型

运用FAVAR模型,将中国各线城市房价分离出宏观共同因子和特质因子部分,研究了各因子及货币政策对房价的影响。研究发现:大城市的房价更易受宏观共同因子和地区特质因子的影响,且变动的持续性更大;共同因子可在很大程度上解释房价变动的持续性和波动性;共同因子对房价的影响较为持久,而地区特质因子只在短期内影响房价;利率和货币供应量可以有效地影响房价;相比利率,货币供应量对一线和二线城市房价水平的影响更大,对各线城市房价波动的影响更为持久;一线城市的房价水平及其波动对货币政策冲击的敏感度较高,二线城市的敏感度居中,三线城市的敏感度较低;未发现货币政策的"价格之谜"现象,表明本文模型设定的合理性较强。     

货币政策对房地产价格调控的非对称效应——基于STR模型

从货币政策的非对称效应的角度,运用非线性模型——STR模型,探究了中国货币政策与房地产价格的关系。研究结果表明:货币政策对房地产价格的影响确实因所处经济周期阶段的不同而发生变化;货币政策与房地产价格之间存在非线性关系;不同经济增长水平下货币政策对房地产价格的调控效应是不对称的;在调控房地产价格方面,我国货币政策的信贷传导路径比利率传导路径更有效。     

土地供应对住房价格影响的实证研究——以上海市为例

以上海市为例,采用Granger因果关系检验和基于预期的房地产价格模型分析土地供应对住房价格的影响.研究结果是:土地供应能通过预期作用对住房价格产生负影响;土地供应对住房价格影响的弹性系数为-0.01.研究结论为:为抑制住房价格过快上涨,政府增加土地供应的措施是可行的;稳定土地供应有助于稳定房价;土地囤积将减弱住房价格对土地供应变化的时效,应抑制土地囤积行为.     

The (Q,S,s) pricing rule: a quantitative analysis

Are nominal prices sticky because menu costs prevent sellers from continuously adjusting their prices to keep up with inflation or because search frictions make sellers indifferent to any real price over some non-degenerate interval? The paper answers the question by developing and calibrating a model in which both search frictions and menu costs may generate price stickiness and sellers are subject to idiosyncratic shocks. The equilibrium of the calibrated model is such that sellers follow a (Q,S,s) pricing rule: each seller lets inflation erode the effective real value of the nominal prices until it reaches some point s and then pays the menu cost and sets a new nominal price with an effective real value drawn from a distribution with support [S, Q], with s < S < Q. Idiosyncratic shocks short-circuit the repricing cycle and may lead to negative price changes. The calibrated model reproduces closely the properties of the empirical price and price-change distributions. The calibrated model implies that search frictions are the main source of nominal price stickiness.     

Investor sentiment,information and asset pricing model

We present an asset pricing model with investor sentiment and information, which shows that the investor sentiment has a systematic and significant impact on the asset price. The equilibrium price's rational term drives the asset price to the rational, and the sentiment term leads to the asset price deviating from it. In our model, the proportion of sentiment investors and the information quality could amplify the sentiment shock on the asset price. Finally, the information is fully incorporated into prices when sentiment investors learn from prices. The model could offer a partial explanation of some financial anomalies: price bubbles, high volatility, asset prices' momentum effect and reversal effect.     

The equity price channel in a New-Keynesian DSGE model with financial frictions and banking

This paper studies the role of the equity price channel in business cycle fluctuations, and highlights the equity price channel as a different aspect to general equilibrium models with financial frictions and, as a result, emphasizes the systemic influence of financial markets on the real economy. We develop a canonical dynamic general equilibrium model with a tractable role for the equity market in banking, entrepreneur and household economic activities. The model is estimated with Bayesian techniques using U.S. data over the sample period 1982Q01–2015Q01. We show that a dynamic general equilibrium model with an equity price channel well mimics the U.S. business cycle. The model reproduces the strong procyclicality of the equity price. The equity price channel significantly exacerbates business cycle fluctuations through both financial accelerator and bank capital channels. Our results support the increasing emphasis on common equity capital in Basel III regulations. This is beneficial in terms of financial stability, but amplifies and propagates shocks to the real economy.     

开发区地价动态评估方法初探

开发区属典型的地价高度发展区.本文根据开发区地价变化规律,建立了开发区地价动态评估模型,讨论了模型的具体应用方法,并将模型应用于金华市江南开发区动态评估,予以实例验证.     

An econometric analysis of the effects of market liberalization on price dynamics and price volatility

The paper investigates price dynamics under market liberalization, with a focus on the effects of lowering price floors. We analyze price dynamics by specifying and estimating a dynamic Tobit model under time-varying volatility, where the market price is censored by a government-set support price. The model is applied to the U.S. butter market over the last three decades. The econometric results show how the price support program affects both expected prices and the volatility of prices. It is found that the censoring effects of a price support program can be significant and large even if the price support is set relatively low.

Trading mechanism selection with directed search when buyers are risk averse

We endogenize the trading mechanism selection in a model of directed search with risk averse buyers and show that the unique symmetric equilibrium entails all sellers using fixed price trading. Mechanisms that prescribe the sale price as a function of the realized demand (auctions, bargaining, discount pricing, etc.) expose buyers to the “price risk”, the uncertainty of not knowing how much to pay in advance. Fixed price trading eliminates the price risk, which is why risk averse customers accept paying more to shop at such stores.