Growth cycles and inflation in a model of the class struggle

The problems of price and wage inflation and unemployment are discussed here in a context of a model of class struggle developed by R. M. Goodwin. The basic Goodwin model which is an analog of the Volterra-Lotka preypredator model is extended to include actual and anticipated price inflation and excess capacity. Cyclical behavior of labor's share in national income and the employment ratio is studied around a Harrodian steady state. It is found that the presence of money illusion with respect to the actual rate of inflation in the wage bargaining equation is a stabilizing influence. With respect to anticipated inflation, local stability of equilibrium is no longer assured. The implications of this for Phillips curve analysis are also derived.     

Perceptions of empowerment and intent to stay

Investigating why nurses remain in organizations may serve as a stepping stone for future retention strategies. The relationship between intent to stay and workplace empowerment in nurses are described in this continuing education article.     

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     

Adaptive ARFIMA models with applications to inflation

Many previous analyses of inflation have used either long memory or nonlinear time series models. This paper suggests a simple adaptive modification of the basic ARFIMA model, which uses a flexible Fourier form to allow for a time varying intercept. Simulation evidence suggests that the model provides a good representation of various forms of structural breaks and also that the new model can be efficiently estimated by a QMLE approach. We investigate monthly CPI inflation series for the G7 countries and find evidence of stable long memory parameters across regimes and also of significant nonlinear effects. The estimated adaptive ARFIMA models generally have less persistent long memory parameters than previous studies, with the estimated time dependent intercept being an important component. The model is also supplemented with an adaptive FIGARCH component, yielding a double nonlinear long memory model.     

Conflict inflation: estimating the contributions to wage inflation in Australia during the 1990s

One of the major emerging macroeconomic problems during thepast century has been the tendency for inflation to accelerateunder prolonged periods of full employment. According to Isaacand Kaldor, this arises because the three major objectives ofwage earners often conflict. The first objective is the desireto maintain relativities; the second is the desire to have a‘fair’ share of companies' profits; and the thirdis a reluctance to allow any encroachment on achieved standardsof living owing to unfavourable (exogenous) events. This papertests how well these three objectives explain wage inflationin Australia using a pseudo-panel data based on the period 1989–2000.The authors find that wages are sensitive to the three majorobjectives, but not to occupational unemployment rates.     

Does inflation uncertainty increase with the level of inflation?

This paper presents evidence that if agents forecast inflation rationally, using an estimate of the reduced form equation which generated the data, then the size of their forecast errors is positively correlated with the level of inflation. Forecast errors are measured first as the residuals from a full sample OLS regression, and secondly from one period ahead, outside sample, forecasts using a regression estimated from only data available at the time of the forecast. Thus, agents who form rational expectations about the variance, as well as the mean, of inflation should form conditional variances dependent on the level of inflation, at the date of the forecast.     

Forward-looking monetary policy and anticipated shocks to inflation

This paper extends a standard New Keynesian model to describe the effects of anticipated shocks to inflation and forward-looking monetary policy. Using the data generated from this modified model suggests that overlooking these two factors in the standard Cholesky structural vector autoregressive identification scheme will generate a price puzzle. Furthermore, this paper demonstrates that failing to account for these two factors may result in significant estimates of two other explanations of the price puzzle—the cost channel of transmission of monetary policy and indeterminacy due to violation of the Taylor principle—even though neither features in the data generating process.     

The time-varying effect of inflation uncertainty on inflation for Turkey

We investigate the effect of inflation uncertainty on inflation from January 1982 through March 2016 for Turkey by using the Stochastic Volatility in Mean model with time-varying parameters. Our empirical evidence from consumer price index (CPI) inflation suggests that the observed positive relationship between inflation and inflation uncertainty is not robust. This positive relationship diminishes after 2002. This finding is valid for all five subcomponents of CPI inflation; however, for Health Services, Transportation Services, and Recreational and Cultural Services, an inflation-positive association is reported after 2010.     

Using inflation to erode the US public debt

Projections indicate the US Federal debt held by the public may exceed 70–100% of GDP within 10 years. In many respects, the temptation to inflate away some of this debt burden is similar to that at the end of World War II. In 1946, the debt ratio was 108.6%. Inflation reduced this ratio by more than a third within a decade. Yet there are some important differences – shorter debt maturities today reduce the temptation to inflate, while the larger share of debt held by foreigners increases it. This paper lays out an analytical framework for determining the impact of a large nominal debt overhang on the temptation to inflate. It suggests that when economic growth is stalled, the US debt overhang may induce an increase in inflation of about 5% for several years that could significantly reduce the debt ratio.     

Applying a microfounded-forecasting approach to predict Brazilian inflation

We investigate whether combining forecasts from surveys of expectations is a helpful empirical strategy for forecasting inflation in Brazil. We employ the FGV–IBRE Economic Tendency Survey, which consists of monthly qualitative information from approximately 2000 consumers since 2006, and also the Focus Survey of the Central Bank of Brazil, with daily forecasts since 1999 from roughly 250 professional forecasters. Natural candidates to win a forecast competition in the literature of surveys of expectations are the (consensus) cross-sectional average forecasts (AF). We first show that these forecasts are a bias-ridden version of the conditional expectation of inflation using the no-bias tests proposed in Issler and Lima (J Econom 152(2):153–164, 2009) and Gaglianone and Issler (Microfounded forecasting, 2015). The results reveal interesting data features: Consumers systematically overestimate inflation (by 2.01 p.p., on average), whereas market agents underestimate it (by 0.68 p.p. over the same sample). Next, we employ a pseudo out-of-sample analysis to evaluate different forecasting methods: the AR(1) model, the Granger and Ramanathan (J Forecast 3:197–204, 1984) forecast combination (GR) technique, a Phillips-curve based method, the Capistrán and Timmermann (J Bus Econ Stat 27:428–440, 2009) combination method, the consensus forecast (AF), the bias-corrected average forecast (BCAF), and the extended BCAF. Results reveal that: (i) the MSE of the AR(1) model is higher compared to the GR (and usually lower compared to the AF); and (ii) the extended BCAF is more accurate than the BCAF, which, in turn, dominates the AF. This validates the view that the bias corrections are a useful device for forecasting using surveys. The Phillips-curve based method has a median performance in terms of MSE, and the Capistrán and Timmermann (2009) combination method fares slightly worse.     

On the real effects of inflation and inflation uncertainty in Mexico

We estimate an augmented multivariate GARCH-M model of inflation and output growth for Mexico at business cycle frequencies. The main findings are: (1) inflation uncertainty has a negative and significant effect on growth; (2) once the effect of inflation uncertainty is accounted for, lagged inflation does not have a direct negative effect on output growth; (3) However as predicted by Friedman and Ball, higher average inflation raises inflation uncertainty, and the overall net effect of average inflation on output growth in Mexico is negative. That is, average inflation is harmful to Mexican growth due to its impact on inflation uncertainty. (4) The Mexican Presidential election cycle significantly raises inflation uncertainty both during the year of the election and the year following the election which has correspondingly negative effects on output growth.     

A two factor model to combine US inflation forecasts

The combination of individual forecasts is often a useful tool to improve forecast accuracy. The most commonly used technique for forecast combination is the mean, and it has frequently proved hard to surpass. This study considers factor analysis to combine US inflation forecasts showing that just one factor is not enough to beat the mean and that the second one is necessary. The first factor is usually a weighted mean of the variables and it can be interpreted as a consensus forecast, while the second factor generally provides the differences among the variables and, since the observations are forecasts, it may be related with the dispersion in forecasting expectations and, in a sense, with its uncertainty. Within this approach, the study also revisits Friedman's hypothesis relating the level of inflation with expectations uncertainty at the beginning of the twenty-first century.