Measuring inflation expectations: a survey data approach

Measures of expected inflation from consumer surveys are derived using a modification of the Carlson-Parkin probability approach, which does not assume unbiasedness of expectations, makes use of survey data on expected future as well as perceived past price developments and allows for time varying response thresholds. We apply this method to the normal, central-t and noncentral-t distributions, thereby investigating the effects of nonnormal peakedness and asymmetry. We find that the effects on expected inflation of the former are small and of the latter are substantial, without increasing the accuracy of the expectations, however. Expected and actual inflation show substantial persistence, and, for most of our expectations measures, are cointegrated. Furthermore, the forecast error is stationary, implying weak-form rationality. The co-movement of currently observed expected inflation measures and the unobserved 12-months-ahead inflation rate is of interest for policy makers, for example in the direct inflation targeting strategy. Notwithstanding this, caution is warranted in using them as information variables because the inflation expected by consumers is no causal determinant of actual future inflation.     

Towards credibility from inflation targeting: the Brazilian experience

This article analyses the use of the basic interest rate after the adoption of inflation targeting in Brazil and the credibility of this monetary regime through two indices that consider the Cukierman and Meltzer (1986 Cukierman, A and Meltzer, AH. 1986. A theory of ambiguity, credibility and inflation under discretion and asymmetric information. Econometrica, 54: 1099–128. [Crossref], [Web of Science ®] , [Google Scholar]) definition for credibility. It also shows the main theoretical and practical motives for changes in the conduction of the monetary policy in the 1970s; the way that inflation targeting strategy is inserted in rules vs. discretion analysis; and the main points that characterize the literature concerning inflation targeting. The findings denote that the strategy implemented in Brazil is not a good mechanism to develop credibility.     

The end of Brazilian big inflation: lessons to monetary policy from a standard New Keynesian model

The paper analyzes economic stabilization in Brazil in the context of a New Keynesian model estimated with Bayesian techniques. Dataset covers the period 1975–2012. Our methodology is based on tests for multiple structural breaks at unknown dates and counterfactual exercises. The results show that inflation and output volatility present an inverted U-shape pattern, peaking at the 1985–1994 sample. Changes in the monetary policy stance and milder shocks accounted for the reduced inflationary volatility (about 50% each, in some specifications). However, some assumptions indicated that a sharp decline in the Phillips curve slope was also important for controlling inflation. Concerning to output, the sole explanation for its volatility fall seemed to be smaller shocks. Therefore, we conclude that a mix of the “good luck” and “good policy” hypotheses mainly originated the current period of increased stability in the country.     

Dynamics of inflation in India - a P-Star approach

P-Star models have become increasingly popular in recent years in developed countries. However data constraints have limited their applicability to the LDCs. In this paper, such a model is attempted for India using both annual and quarterly data for the period 1955–1995. It is found that velocity in India is trend stationary and using cointegration techniques it is then possible to develop a model to gauge inflationary pressures in the economy. The model is well calibrated to data, and in out-of-sample forecasts, it significantly outperforms a seasonal ARMA benchmark model. The velocity gap version of the model is particularly successful.     

US stock market sensitivity to interest and inflation rates: a quantile regression approach

This article studies the sensitivity of the US stock market to nominal and real interest rates and inflation during the 2003–2013 period using quantile regression (QR). The empirical results show that the stock market has a significant sensitivity to changes in interest rates and inflation and finds differences across sectors and over time. Moreover, the effect of changes in both interest rates and inflation tends to be more pronounced during extreme market conditions, thus distinguishing expansion periods from recession periods.     

US inflation and output since the 1970s: a P-star approach

US inflation and output developments since the 1970s are considered using the P-star model and the VAR-based Diebold–Yilmaz spillover index approach. Shocks to monetary variables explain a substantial share of US GDP deflator inflation shocks over time, particularly in the late 1980s and early 1990s but also in recent years, a time when quantitative easing was employed by the Federal Reserve. Monetary factors, and not oil shocks, underlie price developments in the 1970s and early 1980s. Monetary shocks’ influence on oil prices has become noticeably stronger over the past ten years or so, supporting the greater attention being paid of late to the impact of the monetary environment on commodity markets. Shocks to the velocity-of-money variable affect output developments, with the exception of the 1970s and early 1980s when inflation shocks and, to a lesser extent, oil inflation shocks dominate the cross-variance share of output gap shocks. After the Volcker disinflation, the influence of both inflation and oil price shocks on the output gap wane and those of velocity gap shocks increase.     

The effects of inflation uncertainty on interest rates: a nonlinear approach

In this article, we investigate the effects of inflation variability on short-term interest rates within a nonlinear smooth transition regression framework. The test results suggest that only the conditional mean of the inflation is a nonlinear process whereas the conditional variance is time variant but linear. Using the square root of conditional variance as a proxy for inflation risk, we estimate Fisher equation augmented with inflation risk. Although the estimated Fisher equations suggest that inflation risk reduces short-term interest rates, we find that the effects of inflation risk on interest rates are regime-dependent. Particularly, we find that the negative effects of inflation variability on nominal rates are greater in low-inflationary regimes when compared to high-inflationary regimes. On the other hand, it is found that both inflation and inflation uncertainty raise the expected inflation effect.     

Forecasting inflation through a bottom-up approach: How bottom is bottom?

The aim of this paper is to assess inflation forecast accuracy over the short-term horizon, using Consumer Price Index (CPI) disaggregated data, through a bottom-up approach. That is, aggregating forecasts is compared with aggregate forecasting. A new dimension to the question of to bottom-up or not is introduced by considering different levels of data disaggregation, namely a higher disaggregation level than the one considered up to now. This raises modelling issues that one has to cope with. In particular, it is suggested the use of a new strand of models, the Factor-Augmented SARIMA models. Considering as case-study the Portuguese one, we find an inverse relationship between the forecast horizon and the amount of information underlying the forecast, when minimizing the RMSFE.     

Modeling China's inflation dynamics: An MRSTAR approach

This paper examines the nonlinearity of China's inflation rate and models its nonlinear dynamics using the multiple-regime smooth transition autoregressive model. The empirical results show that a four-regime logistic smooth transition autoregressive model can be used to model the nonlinear dynamics of China's inflation rate, and the impulse response analysis shows that the effect of shocks is transient and appears to be asymmetrical between the impulse responses to positive and negative shocks.     

Forecasting Canadian inflation: A semi-structural NKPC approach

We examine whether alternative versions of the New Keynesian Phillips Curve equation contain useful information for forecasting the inflation process. We notably consider semi-structural specifications which combine, for closed- and open-economy versions of the model, the structural New Keynesian equation with time series features. Estimation and inference are conducted using identification-robust methods to address the concern that NKPC models are generally weakly identified. Applications using Canadian data show that all the considered versions of the NKPC have a forecasting performance that comfortably exceeds that of a random walk equation, and moreover, that some NKPC versions also significantly outperform forecasts from conventional time series models. We conclude that relying on single-equation structural models such as the NKPC is a viable option for policymakers for the purposes of both forecasting and being able to explain to the public structural factors underlying those forecasts.     

Macroeconomic uncertainty,growth and inflation in the Eurozone: a causal approach

In this article, we evaluate the causal relationship between macroeconomic uncertainty indices, inflation and growth rate for 17 Eurozone countries on a county-level examination. In performing a series of linear and nonlinear causality tests, we find little evidence of a causal relationship between uncertainty and macroeconomic variables. Thus, macroeconomic analysis based on uncertainty indices should be treated with caution.     

Money-based underlying inflation measure for Russia: a structural dynamic factor model approach

We estimate a dynamic factor model for the cross section of monetary and price indicators. We extract the common part of the dataset’s fluctuations and decompose it into structural shocks. We argue that one of the shocks identified has empirical properties (in terms of impulse response functions) that are fully in line with the theoretically expected relationship between money growth and inflation, confirming that the process identified has the capacity for economic interpretation. Based on this finding, we decompose recent inflationary developments in Russia into those that are associated with changes in monetary stance and other shorter-lived shocks.     

Services inflation dynamics and persistence puzzle in Brazil: a time-varying parameter approach

This article analyses services inflation dynamics in Brazil, focusing on the Services Inflation Persistence Puzzle, for monthly data from January 2004 to February 2016. We apply a time-varying parameter (TVP) approach, via a Kalman filter, to estimate hybrid Phillips curves and compare inflation inertia for tradable goods and services inflation. Aggregate Brazilian Extended Consumer Price Index inflation serves as a benchmark. To justify the TVP analysis, parameter instability and structural change tests are implemented, based on OLS and Generalized Method of Moments (GMM) frameworks. The main results are as follows: (i) the TVP approach is relevant due to observed instability in some parameters estimated; (ii) inflation expectation coefficients are higher than lagged inflation in all calculations, but inflation inertia is not negligible at all; (iii) services inflation persistence ranges from 27 to 36%, whereas tradable goods inflation persistence ranges from 36 to 47%, providing evidence of the Services Inflation Persistence Puzzle in Brazil; (iv) from 2009 onwards an increase in one percentage point in real wages raises monthly services inflation rate by 0.02 to 0.03 percentage point; (v) there is evidence that cost-push pressures, due to wage increases in the service sector, are more important to explain services inflation than demand pressures from early 2009 to mid-2014.     

Forecasting Brazilian inflation by its aggregate and disaggregated data: a test of predictive power by forecast horizon

This work aims to compare the forecast efficiency of different types of methodologies applied to Brazilian consumer inflation (Índice de Preços ao Consumidor Amplo; IPCA). We will compare forecasting models using disaggregated and aggregated data from IPCA over 12 months ahead. We used IPCA in a monthly basis, over the period between January 1996 and March 2012. Out-of-sample analysis will be made through the period of January 2008 to March 2012. The disaggregated models were estimated by Seasonal Autoregressive Integrated Moving Average (SARIMA) and will have different levels of disaggregation from IPCA as groups and items, as well as disaggregation with more economic sense used by Brazilian Central Bank as: (1) services, monitored prices, food and industrials and (2) durables, non-durables, semi-durables, services and monitored prices. Aggregated models will be estimated by time series techniques as SARIMA, state-space structural models and Markov-switching. The forecasting accuracy among models will be made by the selection model procedure known as Model Confidence Set developed by Peter Hansen, Asger Lunde and James Nason. We were able to find evidence of forecast accuracy gains in models using more disaggregated rather than aggregate data.     

The cost of inflation: A mechanism design approach

I apply mechanism design to quantify the cost of inflation that can be attributed to monetary frictions alone. In an environment with pairwise meetings, the money demand that is consistent with an optimal, incentive feasible allocation takes the form of a continuous correspondence that can fit the data over the period 1900–2006. For such parameterizations, the cost of moderate inflation is zero. This result is robust to the introduction of match-specific heterogeneity and endogenous participation decisions.     

Revisiting the inflation–output gap relationship for France using a wavelet transform approach

The purpose of the paper is to revisit the inflation–output gap relationship using a new approach known as the wavelet transform. This approach combines the classical time series analysis with frequency domain analysis and presents the advantages of assessing the co-movement of the two series in the context of both time and frequencies. Using discrete and continuous wavelet methodologies for the study of the inflation–output gap nexus in the case of France, we determine that the output gap is able to predict the inflation dynamics in the short- and medium-runs, and these results have important implications to the Phillips curve theory. More precisely, we discovered that in a discrete wavelet framework, the short- and medium-term fluctuations of both variables are more closely correlated, whereas the continuous wavelet analysis states that the output gap leads inflation in short- and medium-runs.     

Fiscal deficit and inflation: New evidences from Pakistan using a bounds testing approach

Leeper (1991), Sims (1994) and Woodford (2001) point out that price level is not independently determined by monetary policy rather it is the result of inter dependence of fiscal and monetary policies. This article aims to test the fiscal theory of price level for Pakistan using an autoregressive distributed lag model framework over the period of 1972–2012. The article finds that fiscal deficit is a major determinant of the price level along with other variables like interest rates, government sector borrowing and private borrowing. On the basis of our findings, the present article suggests that the economy of Pakistan requires an immediate correction of fiscal imbalances.     

Portuguese and Brazilian stock market integration: a non-linear and detrended approach

Besides the historical heritage that Portugal and Brazil share, the last two decades have also shown an increase in some economic indicators, such as the percentage of imports/exports and foreign direct investment. In order to take advantage of all the benefits, the countries should increase economic integration, stock market integration being one of the possibilities. In this context, this paper analyses stock market integration between these two countries, using non-linear methodologies: detrended fluctuation analysis, detrended cross-correlation analysis and detrended moving-average cross-correlation analysis. Using the main stock indexes, and splitting the sample in six different periods, the main conclusion is that integration between these two countries increased over time. However, since 2013, the integration pattern has decreased, with the economic crisis both countries suffered being the main factor.     

The price stability under inflation targeting regime: An analysis with a new intermediate approach

This paper analyzes the relevance of the inflation targeting (IT) policy in achieving its primary goal of medium-term price stability. Contrary to previous studies, we propose, in this work, a new approach; an intermediate approach that consists in conducting a time-series analysis (employed in the literature under unilateral cases-absolute approach) with a comparison of inflation performance of IT countries and those of non-IT countries (comparison made in literature under the relative approach). Empirically, we employ a frequency analysis based on evolutionary spectral theory of Priestley (1965–1996) in order to distinguish between different inflation horizons; short-run and the medium-run inflation rates. To check the stability of spectral density functions for inflation series for each country under studied frequencies, we apply a Bai and Perron (2003a,b) test. Our results show that after IT framework implementation, there is no break point in inflation series in short and medium terms. This result is not verified for non-IT countries. Therefore, IT is more relevant in achieving price stability and consequently more effective on inflation expectation anchoring than other monetary policies.     

Exchange rates,inflation and growth in small,open economies: a difference-in-differences approach

Financial crises in emerging markets have led many observers to recommend abandoning fixed exchange rates and adopting more flexible regimes. Moreover, some recent research suggests that the correct exchange rate regime may have a significant effect on inflation and even economic growth. The estimated effect found in such studies, however, likely suffers from an upward bias, as countries which choose a given exchange rate regime have other hard-to-measure policies and attributes which also affect economic performance. Utilizing a recent data set on actual, as opposed to official exchange rate regimes, this article employs the difference-in-differences method, currently popular in applied microeconomics, to a set of emerging markets that switched to more flexible currency policies. Results indicate that, contrary to previous studies, exchange rates themselves exert no significant impact on inflation or output.