A PANIC analysis on regional and sectoral inflation: the Spanish case

This article studies the stochastic properties of several inflation rates for the Spanish economy using the consumer price index (CPI) for the 17 regions and 12 groups of goods and services, and the producer price index (PPI) for 26 industrial sectors. To this end, we employ the panel analysis of nonstationarity in idiosyncratic and common components (PANIC) approach proposed by Bai and Ng (2004, 2010). This methodology enables us to decompose the observed inflation rate series into a common and an idiosyncratic component, thus allowing us to identify the exact source of nonstationarity. Our analysis provides strong evidence of the presence of a common stochastic trend driving the observed series forming the panel of CPI-based inflation rates for the regions. This, coupled with the presence of a jointly stationary idiosyncratic component, implies the existence of pairwise cointegration across the regional CPI-based inflation rates, which show a clear pattern of convergence over time. This gives an indication of increased geographical homogeneity in consumption patterns. The evidence for the panels of CPI-based inflation of groups of goods and services and PPI-based inflation of industrial sectors indicates the existence of four independent common stochastic trends. This, combined with jointly stationary idiosyncratic series, provides much weaker evidence of cross-cointegration for these two panels.     

Modelling inflation shifts and persistence in Tunisia: perspectives from an evolutionary spectral approach

This article examines the dynamic characteristics of the inflation rate in Tunisia over the last two decades, and particularly following the onset of the Arab Spring in 2010 which causes distortions in this country’s monetary policy. We focus on the two specific dimensions of the Tunisian inflation rate: inflation regimes and persistence. We tackle this issue by adopting an evolutionary spectral approach, initially proposed by Priestley and Tong (1973). Our main findings indicate a stable inflation regime in the last 10 years, with an average inflation rate of around 5.5%. It is also found that the Tunisian inflation experienced a high degree of inertia which reflects its gradual responses to shocks. We also discuss the policy implications of these results, which typically require policy-makers to implement sound institutional reforms to reduce inflation.     

Monetary dynamics: a market approach

The behaviour of the short-run responses implied by the identification of a long-run money demand relationship is examined. These responses have recently been interpreted as representing the policy stance of the monetary authority. However, as movements in the monetary aggregate reflect both demand and supply adjustments, estimating the short-run dynamics solely within the money demand relationship may produce biased results. In order to address this issue, the paper explicitly acknowledges the importance of the supply of money function by including the function alongside the demand for money function. While the interaction of the two equations continues to produce the long-run quantity theory result, the additional detail provides more accurate estimates of the individual short-run adjustments within the two equations.     

On the persistence of prices in Mexico: a fractional integration approach

A relevant yet often overlooked characteristic of the inflation rate is its mean-reverting property. If a series has this feature, shocks eventually dissipate, whereas if it does not, they have a permanent effect on the series. The usual I(1) versus I(0) dichotomy in time-series econometrics goes only so far towards disentangling this issue. By employing a methodology that estimates the persistence of inflation by allowing (i) fractional integration and (ii) persistence and level shifts in the series, we aim to define whether it is stationary and/or mean reverting and, if so, during which periods. The results of our analysis for the period 1987–2015 are threefold: firstly, inflation in the eighties and nineties should be seen as a highly persistent yet mean-reverting process (not a random walk); secondly, inflation remained mean reverting, though became a short-memory (less persistent) process around the date of the implementation of the inflation-targeting framework of 2001; thirdly, during the later phase, the level of inflation also decreased and is now within the inflation target range set by Banco de México, namely 3 per cent with an interval of ±1 percentage point.     

国际资本流动对房地产价格的影响——基于中国的实证检验:1998-2006

Taking the inflation into consideration and making use of the quarter data of the actual foreign investment, housing and land prices in China from 1998 to 2006, this paper examines the relationship between housing prices and international capital flows using Error Correction Model (ECM) and Granger causality test. Results show that in the short run, the increase of housing prices attracts the inflow of foreign capitals; in the long run, foreign capitals help to boost the rise of housing prices. Therefore, at present, Chinese government must impose effective restrictions on the flow of foreign capital into the real estate market. __________ Translated from Caijing Wenti Yanjiu 财经问题研究 (Research on Financial and Economic Issues), 2007, (3): 55–61     

Expectations and the housing market: A model of house price dynamics

We examine the characteristics of housing markets under adaptive and heterogeneous expectations. Model agents have finite horizons, and their borrowings are constrained by the collateral value of housing stock. Our model shows that expectation-driven housing price dynamics constantly change the direction of movement. The steady-state process of housing prices follows an endogenous oscillation process, and the magnitude of the cycles can be amplified by external shocks. Our quantitative results imply that (i) short-term positive and long-term negative serial correlations in housing price changes are inherent, (ii) house prices and expected house price movements are positively correlated, and (iii) fluctuations in housing prices are not fully explained by fundamentals.     

金融状况指数FCI与货币政策反应函数经验研究

文章运用VAR模型经验估计了中国的金融状况指数FCI,结果表明FCI指数对通货膨胀率具有良好的预测力。在此基础上,将FCI指数作为目标和信息变量纳入泰勒规则,运用GMM方法估计了中国的货币政策反应函数,发现FCI指数与短期利率存在正相关关系,可以成为货币政策的短期指示器;但是利率调节对CPI通胀率、产出缺口和金融形势的松紧变化均反应不足。特别是利率对金融形势松紧变化的调节不足,刺激了金融不平衡和资产价格泡沫的相互推动和累积,是经济不平稳发展的重要政策诱因。     

The dynamic causality between commodity prices,inflation and output in China: a bootstrap rolling window approach

In this article, we empirically study the time-varying bilateral causality between commodity prices, inflation and output in China. We first perform a series of parameter stability tests and find strong evidence of instability in the parameters estimated for Granger causality tests. We then use the bootstrap rolling window approach to test the causality and find that the causality from commodity prices to both inflation and output is time-varying in the entire sample period and asymmetric in different phases of the business cycle. We also find evidence of the causality from both inflation and output to commodity prices in certain sub-periods. Further discussion on the cost-price mechanism through which the economy fluctuates cyclically suggests that the dynamic causality between commodity prices and inflation contributes to understanding the nature of economic fluctuations and to forecasting economic crises. Overall, our results provide a new perspective to disentangle economic fluctuations.     

Elementary Index Bias: Evidence for the Euro Area from a Large Scanner Dataset

We provide evidence on the effect of elementary index choice on inflation measurement in the euro area. Using scanner data for 15,844 individual items from 42 product categories and 10 euro area countries, we compute product category level elementary price indexes using eight different elementary index formulas. Measured inflation outcomes of the different index formulas are compared with the Fisher ideal index to quantify elementary index bias. We have three main findings. First, elementary index bias is quite variable across product categories, countries and index formulas. Second, a comparison of elementary index formulas with and without expenditure weights shows that a shift from price only indexes to expenditure weighted indexes would entail at the product level multiple percentage points differences in measured price changes. And finally, we show that elementary index bias is quantitatively more important than upper level substitution bias.     

Financial crisis and persistence: evidence from sticky expectations consumption growth model

We estimate the degree of stickiness in aggregate consumption growth for the U.S. considering the effects of the Great Recession. The behavior of stickiness estimate in the crisis is somewhat as the U-shaped pattern. Our findings imply that during the crisis consumers’ attentiveness to aggregate information has slightly increased, thereby reducing the persistence of aggregate consumption growth. However, the reduction in persistence is transitory. Since 1980, the U.S. faced five recessions and in most of them the degree of stickiness declined, albeit temporarily.     

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.     

Consumption and disposable income in the EU countries: the role of wealth effects

We investigate the long run relationship between private consumption and disposable income for a sample of EU countries using recently developed panel cointegration techniques. For the ordinary consumption-income model the evidence on cointegration is ambiguous. In addition, the cointegration vector obtained by efficient estimation methods is not consistent with theoretical reasoning, as it reflects a decline in the savings rate over time. Extending the analysis by financial wealth improves the model fit markedly. In particular, the income elasticity is not different from 1 and therefore in line with the life cycle permanent income hypothesis. The marginal propensity to consume out of financial wealth is in a range of 3–5%, thereby confirming recent time series results.     

The impact of income,economic openness and interest rates on housing prices in China: evidence from dynamic panel quantile regression

The rapid growth of housing prices has attracted the attention of the whole of society in China. This article adopts the dynamic panel quantile regression to investigate the impact of income, economic openness and interest rates on housing prices in China, based on the panel data of 35 major cities from 2002 to 2012. Compared with previous studies, we can more precisely and reasonably discuss the impact of these variables on different levels of housing prices. The empirical results indicate that the impact of independent variables on housing prices is heterogeneous across quantiles. Specifically, the impact of income is positive and significant across quantiles, and the impact becomes greater at the 90th and 95th quantiles. Economic openness has a positive and significant effect at the 5th–80th quantiles, which support the Balassa–Samuelson effect, but it is insignificant at the 90th and 95th quantiles. The impact of interest rates is positive and significant at low quantiles, but the impact is negative and insignificant at high quantiles. Furthermore, we also find that the coefficients of interest rates at various quantiles are smaller. In addition, the population has a significant positive effect across quantiles. Finally, we provide important policy implications.     

Empirical research on monetary policy,asset prices and inflation: an analysis based on provincial panel data in China

In this article, we investigate the dynamic correlations among monetary policy, asset prices and inflation and assess the regional effects of monetary policy in China for the period October 2007 to July 2013. We focus on the interdependencies among monetary policy and asset price fluctuations by using the Shanghai Interbank Offered Rate as the preferred variable for analysing monetary policy movement. In particular, we apply a vector autoregressive model in a panel setting, which allows researchers to examine variations over time or across individual regions. The empirical results presented herein indicate that monetary policy reacts actively to asset prices, although it is still shown to be ineffective. In addition, we find that asset prices display some regional differences in their response to an unexpected monetary policy shock.     

Decomposing household,professional and market forecasts on inflation: a dynamic factor model analysis

A dynamic factor model with stochastic volatility is used to investigate the relationships between three alternative measures of inflation expectations. The results show evidence of both a common time-varying trend and a common transitory component between inflation and short-term inflation expectations from households, professionals and markets. While the common time-varying trend has declined in both level and volatility since the early 1980s, it was found that consumer expectations are disproportionately influenced by the visibility of prices of select few goods. Roughly speaking, a 1% point increase in food and energy prices leads to about 1/3% point increase in consumer forecasts of inflation. In terms of policymaking, this finding suggests that stability in highly visible prices can moderate inflation in a meaningful way.     

Speculative behavior in a housing market: Boom and bust

We study a housing market with household buyers, speculative investors and property developers in a Walrasian scenario. We show that in addition to the factors that affect the real demand of household buyers and the development cost of property developers, investors' speculative behavior is an important factor explaining housing price evolution and dynamics. In particular, investors' extrapolative expectations may drive the housing price to persistently deviate from its benchmark value and even to explode. In contrast, investors' mean-reverting strategy can balance out the position of trend extrapolators, which may stabilize an otherwise explosive housing market. Moreover, the evolutionary process of housing prices driven by investors' speculative behavior is path-dependent in the sense that different initial market conditions may result in different price paths, which corresponds to the localization property empirically documented in the real housing market. In addition, within the stylized model, we provide some policy implications through analyzing the limitation and effectiveness of policy adjustments via down payment and development cost, and find that the decrease of development cost is a better measure to adjust the housing market when it booms or busts.     

Comparative performances of measures of consumer and economic sentiment in forecasting consumption: a multi-country analysis

ABSTRACT

This paper seeks to compare the capabilities of assorted measures of consumer and economic sentiment in predicting the growth of household expenditure. An analysis of quarterly data on five European countries shows that for none of these can the model which incorporates the EU’s headline consumer confidence indicator be deemed to be significantly inferior to any of its seven rivals. However, the rankings of the sentiment variables are seen to be influenced by: the proportion of total spending by households that is devoted to durable goods; and the nature of the behaviour of consumption over the forecast interval.     

Oil prices and economic activity: evidence for G-7 economies based on a wavelet approach

This study examines the relationship between oil prices and economic activity in the G-7 economies during the period 1960M1–2014M07 using a wavelet approach. The results show significant differences in the relationship between these two variables depending on the frequencies. Furthermore, we find that oil price shocks affect economic activity at low frequencies (long run) in all G-7 countries, while the effect at high frequencies (short run) is limited to a few countries.     

Valuing ecosystem goods and services: a new approach using a surrogate market and the combination of a multiple criteria analysis and a Delphi panel to assign weights to the attributes

A new approach to valuing ecosystem goods and services (EGS) is described which incorporates components of the economic theory of value, the theory of valuation (USappraisal), a multi-model multiple criteria analysis (MCA) of ecosystem attributes, and a Delphi panel of experts to assign weights to the attributes. The total value of ecosystem goods and services in the various tenure categories in the Wet Tropics World Heritage Area (WTWHA) in Australia was found to be in the range AUD$188 to $211 million year⁻¹, or AUD$210 to 236 ha⁻¹ year⁻¹ across tenures, as at 30 June 2002. Application of the weightings assigned by the Delphi panelists and assessment of the ecological integrity of the various tenure categories resulted in values being derived for individual ecosystem services in the World Heritage Area. Biodiversity and refugia were the two attributes ranked most highly at AUD$18.6 to $20.9 million year⁻¹ and AUD$16.6 to $18.2 million year⁻¹, respectively.