Predictable non-linearities in U.S. inflation

This paper compares the out-of-sample inflation forecasting performance of two non-linear models; a neural network and a Markov switching autoregressive (MS-AR) model. We find that predictable non-linearities in inflation are best accounted for by the MS-AR model.     

我国通货膨胀率均值过程和波动过程中的双长记忆性度量与统计检验

This paper uses the ARFIMA-FIGARCH model to investigate the China’s monthly inflation rate from January 1983 to October 2005. It is found that both first moment and second moment of inflation have remarkable long memory, indicating the existence of long memory properties in both inflation level and inflation uncertainty. By the Granger-causality test on inflation rate and inflation uncertainty, it is shown that the inflation level affects the inflation uncertainty and so supports Friedman hypothesis. Therefore, as for policy maker, they should roundly concerns on long memory properties of inflation and inflation uncertainty, and their single-direction relationship between them. __________ Translated from Guanli shijie 管理世界 (Management World), 2007, (7): 14–21     

The expected inflation channel of government spending in the postwar U.S.

There exist sticky price models in which the output response to a government spending change can be large if the central bank is nonresponsive to inflation. According to this “expected inflation channel,” government spending drives up expected inflation, which in turn, reduces the real interest rate and leads to an increase in private consumption. This paper examines whether the channel was important in the post-WWII U.S., with particular attention to the 2009 Recovery Act period. First, we show that a model calibrated to have a large output multiplier requires a large response of expected inflation to a government spending shock. Next, we show that this large response is inconsistent with structural vector autoregression evidence from the Federal Reserve׳s passive policy period (1959–1979). Then, we study expected inflation measures during the Recovery Act period in conjunction with a panel of professional forecaster surveys, a cross-country comparison of bond yields and fiscal policy news announcements. We show that the expected inflation response was too small to engender a large output multiplier.     

Fractional integration and structural breaks in U.S. macro dynamics

This article identifies structural breaks in the post-World War II joint dynamics of U.S. inflation, unemployment and the short-term interest rate. We use a structural break-date procedure which allows for long-memory behavior in all three series and perform the analysis for alternative data frequencies. Both long-memory and short-run coefficients are relevant for characterizing the changing patterns of U.S. macroeconomic dynamics. We provide an economic interpretation of those changes by examining the link between macroeconomic events and structural breaks.     

Time-varying U.S. inflation dynamics and the New Keynesian Phillips curve

This paper introduces a form of boundedly-rational inflation expectations in the New Keynesian Phillips curve. The representative agent is assumed to behave as an econometrician, employing a time series model for inflation that allows for both permanent and temporary shocks. The near-unity coefficient on expected inflation in the Phillips curve causes the agent's perception of a unit root in inflation to become close to self-fulfilling. In a “consistent expectations equilibrium,” the value of the Kalman gain parameter in the agent's forecast rule is pinned down using the observed autocorrelation of inflation changes. The forecast errors observed by the agent are close to white noise, making it difficult for the agent to detect a misspecification of the forecast rule. I show that this simple model of inflation expectations can generate time-varying persistence and volatility that is broadly similar to that observed in long-run U.S. data. Model-based values for expected inflation track well with movements in survey-based measures of U.S. expected inflation. In numerical simulations, the model can generate pronounced low-frequency swings in the level of inflation that are driven solely by expectational feedback, not by changes in monetary policy.     

A note on the international transmission of inflation: The impact of U.S. inflation on Mexico

This paper investigates the relative impact of U.S. inflation and domestic monetary factors on the joint determination of inflation and the balance of payments of Mexico between 1950 and 1979. It also tests the hypothesis that the U.S. money supply has an additional, direct impact on Mexico's balance of payments.     

The Deaton paradox in a long memory context with structural breaks

This article contributes to the Permanent Income Hypothesis (PIH) and excess consumption smoothness debate in the context of fractional integration. We show that the excess consumption smoothness result is a consequence of the quarterly data frequency commonly employed in the empirical work. In fact, the I(1) hypothesis is rejected for the income process with monthly data in favour of a fractional integration order lower than 1. Moreover, if a structural break is taken into account, we observe a substantial reduction in the degree of consumption smoothness, especially after the break found in 1975.     

Sticky information and inflation persistence: evidence from the U.S. data

This paper analyzes the relationship between sticky information and inflation persistence by implementing a novel approach to estimate the Sticky Information Phillips Curve (SIPC). The degree of sticky information is estimated using a GMM estimator that matches the covariance between inflation and the shocks that affect firms’ pricing decisions. Although the SIPC contains an infinite number of terms, the theoretical covariances derived from the model have finite dimensions, thus allowing the estimation of the structural parameters without any truncation of the original model. This work shows that sticky information is significantly different if the model is estimated by matching inflation persistence or inflation variance. Previous empirical literature found that the SIPC model does not provide an accurate representation of the US postwar inflation. This paper qualifies such a finding by demonstrating that the SIPC is able to match the inflation persistence only at the cost of mismatching the inflation variance.     

Stock prices,inflation and inflation uncertainty in the U.S.: testing the long-run relationship considering Dow Jones sector indexes

We test for the long-run relationship between stock prices, inflation and its uncertainty for different U.S. sector stock indexes, over the period 2002M7–2015M10. For this purpose we use a cointegration analysis with one structural break to capture the crisis effect, and we assess the inflation uncertainty based on a time-varying unobserved component model. In line with recent empirical studies we discover that in the long run, the inflation and its uncertainty negatively impact the stock prices, opposed to the well-known Fisher effect. In addition we show that for several sector stock indexes the negative effect of inflation and its uncertainty vanishes after the crisis outburst. However, in the short run the results provide evidence in favour of a negative impact of uncertainty, while the inflation has no significant influence on stock prices, except for the consumption indexes. The consideration of business cycle effects confirms our findings, which proves that the results are robust, both for long- and short-run relationships.     

Public debt,monetization and inflation: Evidence from the U.S. time series

This paper presents time series evidence based on vector autoregressive representations which strongly contradicts the hypothesis that larger real deficit induces the Federal Reserve to monetize it.     

Standard and seasonal long memory in volatility: an application to Spanish inflation

The historical series of many economic variables, such as inflation, are characterized by a strong persistent behaviour in the form of long memory, not only in the long run or at zero frequency but often also at seasonal frequencies. In financial series, long memory is not apparent in levels but strong persistence in higher order moments such as volatility has been proven to be a stylized fact in stock returns. Interest in economic time series has, however, focused on the persistence of levels and little attention has been paid to higher order dependence, which can be important for assessing the stability of the series. We propose a semiparametric analysis of the standard and seasonal persistence of the volatility of a monthly Spanish inflation series. The conclusions can be summarized in three main results. First volatility shows strong persistence implying an unstable trend in prices, but its structure depends on the proxy used, the absolute values, the squares or the logarithms of squares. Second, the structure of the persistence of volatility changed with the first oil crisis in 1973, with a persistent trend in both periods, in contrast with levels. Third, the Taylor effect, which is well documented in financial series, does not apply in this series.     

Trade policy in majoritarian systems: the case of the U.S.

Abstract We provide a theory of trade policy determination that incorporates the protectionist bias inherent in majoritarian systems, suggested by Grossman and Helpman (2005) . The prediction that emerges is that in majoritarian systems, the majority party favours industries located disproportionately in majority districts. We test this prediction using U.S. data on tariffs, Congressional campaign contributions, and industry location in districts represented by the majority party over the period 1989–97. We find evidence of a significant majority bias in trade policy: the benefit to being represented by the majority party appears at least as large in magnitude as the benefit to lobbying.     

The redistributive effects of inflation and of the introduction of a real tax system in the U.S. bond market

This paper investigates which types of borrowers and lenders in the U.S. bond market gain (or lose) as result of the interaction of inflation with a nominal and discriminating tax structure. It is shown that an increase in the rate of inflation favors tax exempt institutions, and probably other lenders too. Corporate borrowers probably gain while mortage borrowers probably lose. The paper also investigates the one shot redistributive effects of indexing the tax structure. It is shown that the reform hurts tax exempt institutional investors and, probably, other lenders too. It hurts corporate borrowers and probably favors state and local governments and mortgage borrowers.     

Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation

This article evaluates various models’ predictive power for U.S. inflation rate using a simulated out-of-sample forecasting framework. The starting point is the traditional unemployment Phillips curve. We show that a factor Phillips curve model is superior to the traditional Phillips curve, and its performance is comparable to other factor models. We find that a factor AR model is superior to the factor Phillips curve model, and is the best bivariate or factor model at longer horizons. Finally, we investigate a New Keynesian Phillips curve model, and find that its forecasting performance dominates all other models at the longer horizons.     

The effect of case management on U.S. hospitals

This quantitative research study assesses the organizational characteristics, market factors, and profitability of U.S. hospitals operating with a case management model. These results have managerial implications associated with individual hospital performance, implications for nursing leadership, and policy implications on resource allocation.     

Information in stock prices: the case of the 2016 U.S. presidential election

On the day before the 2016 U.S. presidential election, the odds of Hillary Clinton winning the presidency, according to political prediction markets, were above 90%. Surprisingly, Donald Trump won the Electoral College handily. In this study, we examine how movements in specific stock prices foreshadowed the eventual outcome. Specifically, we conduct a series of standard event-study tests focused on pharmaceutical companies, which became a focal point during the presidential campaign. Results show that while stocks of pharmaceutical companies significantly underperformed the market prior to the election, prices substantially increased beginning three days before the election outcome. This increase is both statistically significant and economically meaningful and robust to various event-study methodologies. These results suggest that some sectors of the stock market seemed to anticipate the election outcome.     

Detecting multiple breaks in time series covariance structure: a non-parametric approach based on the evolutionary spectral density

This article estimates the number of breaks and their locations in the covariance structure of a series based on the evolutionary spectral density and uses some standard information criteria. The adopted approach is non-parametric and does not privilege a priori any modelling of the series. One carries out a Monte Carlo analysis and an empirical illustration using the daily return series of exchange rate euro/US dollar to support the relevance of the theory and to produce additional insights. The simulation results are globally adequate and show that the criteria having heavy penalty are more accurate in the selection of the number of breaks. The empirical results indicate that the covariance structure of the return series considerably varies between 30 March 2000 and 6 April 2001. The unconditional volatility appears non-constant over this interval.     

美元本位制、美元霸权与美国金融危机

美元本位制下,美元霸权表现为中心一外围框架体系.在该体系下,中心国美国与外围国家的权益和义务不对称,地位不对等,而且框架体系本身具有内在的不相容性,这些特征决定了美元本位制的内在脆弱性,由此也使美国落入美元本位制的陷阱,造成美国国内利率下降、消费信用过度扩张、制造业陷入衰退等经济失衡,最后当信用泡沫破灭时,金融危机爆发.     

U.S. farm dynamics and the distribution of U.S. agricultural subsidies

The persistent instability of the agricultural sector is the fundamental premise of most agricultural policy. Yet no research has ever quantified the aggregate dynamics of individual farms in the US. This article is the first to combine the US Census of Agriculture with the Agricultural Resource Management Survey to observe the dynamics of nearly 1.5 million farms. The data reveal substantial variation in farm size expansion and contraction. Most of this variation is unobservable in the sector totals reported by the US Department of Agriculture each year. The distribution of agricultural subsidies suggests that subsidies become more important as farms get smaller and may play a role in slowing farm size contraction.     

美国经济失衡对美元汇率的影响

经济内部失衡或者外部失衡对汇率的影响都是不确定的,但是,当经济内外部同时失衡时,汇率贬值或政府干预外汇市场的可能性最大。实证结果支持了上述结论。当美国经济内外部同时失衡时,美元贬值或美国政府干预外汇市场的概率就会提高27个百分点。这意味着,通过汇率变动,美国将内部问题外部化了。理解了美元汇率变动的原因实际上也就理解了21世纪初期以来人民币面临升值压力的原因。