ELUSIVE PERSISTENCE: WAGE AND PRICE RIGIDITIES,THE NEW KEYNESIAN PHILLIPS CURVE AND INFLATION DYNAMICS

Abstract We review the main New Keynesian inflation equations that have arisen as a result of aggregation from individual firms' price rigidities. We find that, on the whole, they cannot account for inflation persistence, a key feature of the empirical dynamics of inflation, and with important policy implications. The only exceptions seem to be when indexation is allowed in price setting or when price stickiness is combined with wage rigidity and staggering.     

GROWTH OF RURAL US NON‐FARM PROPRIETORS WITH A FOCUS ON AMENITIES

In this research we explore how local amenities relate to proprietorship growth by merging two lines of work: amenities and rural growth and the drivers of proprietorship and small business growth. We do so to examine what role, if any, different types of amenties play in promoting the growth of small businesses in rural USA. Using data for rural US counties we explore the role of natural and built amenities in the growth of rural non‐farm proprietorships between 2000 and 2008 by employing a spatial Durbin model to account for both spatial dependency in the data and to explicitly model spatial spillover effects. The results offer evidence that proprietorship growth is spatially clustered, spatial spillover effects matter, and proprietorship growth is higher in those areas with particular climate attributes. That is, the effect of climate on quality of life may be enough to attract individuals who wish to start new firms.     

REAL‐TIME FORECASTING OF INFLATION AND OUTPUT GROWTH WITH AUTOREGRESSIVE MODELS IN THE PRESENCE OF DATA REVISIONS

We examine how the accuracy of real‐time forecasts from models that include autoregressive terms can be improved by estimating the models on ‘lightly revised’ data instead of using data from the latest‐available vintage. The benefits of estimating autoregressive models on lightly revised data are related to the nature of the data revision process and the underlying process for the true values. Empirically, we find improvements in root mean square forecasting error of 2–4% when forecasting output growth and inflation with univariate models, and of 8% with multivariate models. We show that multiple‐vintage models, which explicitly model data revisions, require large estimation samples to deliver competitive forecasts. Copyright © 2012 John Wiley & Sons, Ltd.     

ESTIMATION OF CENSORED PANEL‐DATA MODELS WITH SLOPE HETEROGENEITY

This paper considers estimation of censored panel‐data models with individual‐specific slope heterogeneity. The slope heterogeneity may be random (random slopes model) or related to covariates (correlated random slopes model). Maximum likelihood and censored least‐absolute deviations estimators are proposed for both models. The estimators are simple to implement and, in the case of maximum likelihood, lead to straightforward estimation of partial effects. The rescaled bootstrap suggested by Andrews (Econometrica 2000; 68 : 399–405) is used to deal with the possibility of variance parameters being equal to zero. The methodology is applied to an empirical study of Dutch household portfolio choice, where the outcome variable (portfolio share in safe assets) has corner solutions at zero and one. As predicted by economic theory, there is strong evidence of correlated random slopes for the age profiles, indicating a heterogeneous age profile of portfolio adjustment that varies significantly with other household characteristics. Copyright © 2013 John Wiley & Sons, Ltd.     

PURCHASING POWER PARITY FOR DEVELOPING AND DEVELOPED COUNTRIES. WHAT CAN WE LEARN FROM NON‐STATIONARY PANEL DATA MODELS?

Abstract.  The aim of this paper is to apply recently developed panel cointegration techniques proposed by Pedroni ( Oxford Bulletin of Economics and Statistics 61 (1999): Supplement, 653–670; Econometric Theory 20 (2004): 597–625) and generalized by Banerjee and Carrion-i-Silvestre (Working Paper 591, European Central Bank, February 2006) to examine the robustness of the PPP concept for a sample of 80 developed and developing countries. We find that strong PPP is verified for OECD countries and weak PPP for Middle East and North African countries. However, in African, Asian, Latin American and Central and Eastern European countries, PPP does not seem relevant to characterize the long-run behavior of the real exchange rate. Further investigations indicate that the nature of the exchange rate regime does not condition the validity of PPP, which is more easily accepted in countries with high rather than low inflation.     

CONDITIONAL DURATION MODELS FOR HIGH‐FREQUENCY DATA: A REVIEW ON RECENT DEVELOPMENTS

This paper reviews the recent literature on conditional duration modeling in high‐frequency finance. These conditional duration models are associated with the time interval between trades, price, and volume changes of stocks, traded in a financial market. An earlier review by Pacurar provides an exhaustive survey of the first and some of the second generation conditional duration models. We consider almost all of the third‐generation and some of the second‐generation conditional duration models. Notable applications of these models and related empirical studies are discussed. The paper may be seen as an extension to Pacurar.