POSTERIOR‐PREDICTIVE EVIDENCE ON US INFLATION USING EXTENDED NEW KEYNESIAN PHILLIPS CURVE MODELS WITH NON‐FILTERED DATA

Changing time series properties of US inflation and economic activity, measured as marginal costs, are modeled within a set of extended New Keynesian Phillips curve (NKPC) models. It is shown that mechanical removal or modeling of simple low‐frequency movements in the data may yield poor predictive results which depend on the model specification used. Basic NKPC models are extended to include structural time series models that describe typical time‐varying patterns in levels and volatilities. Forward‐ and backward‐looking expectation components for inflation are incorporated and their relative importance is evaluated. Survey data on expected inflation are introduced to strengthen the information in the likelihood. Use is made of simulation‐based Bayesian techniques for the empirical analysis. No credible evidence is found on endogeneity and long‐run stability between inflation and marginal costs. Backward‐looking inflation appears stronger than forward‐looking inflation. Levels and volatilities of inflation are estimated more precisely using rich NKPC models. The extended NKPC structures compare favorably with existing basic Bayesian vector autoregressive and stochastic volatility models in terms of fit and prediction. Tails of the complete predictive distributions indicate an increase in the probability of deflation in recent years. Copyright © 2014 John Wiley & Sons, Ltd.     

Online RPM and MFN Under Antitrust Law and Economics

The legal framing of a firm’s pricing strategy can determine whether it constitutes online resale price maintenance (RPM) or online most favored nation (MFN). Together, cases that involve online RPM and MFN can be viewed as a natural experiment of how antitrust economics and law may adapt to an online world. Thus far, legal theories that have been inconsistent with economic theories have dictated enforcement across jurisdictions, which has led to confusion that thwarts potentially efficient business practices. This paper distinguishes issues of online RPM from traditional RPM and online RPM from online MFN. We apply the economics learning to RPM and analyze the antitrust cases of online RPM and MFN to date in the United States, Europe, and Australia. Finally, we offer policy recommendations that reduce the confusion in current legal doctrine.     

A LONGITUDINAL STUDY OF CHANGE IN THE ENGLISH NATIONAL HEALTH SERVICE

This paper reports the findings of a longitudinal comparative case study of three National Health Service (NHS) hospital Trusts in England, investigating the perceptions of clinical, managerial and accounting professionals towards changing cost accounting and performance measurement practices. It incorporates both qualitative and quantitative data analysis, and is based on a contextualist understanding of change management, utilising the content‐process‐context approach (Pettigrew and Lapsley, 1994) to investigate the influence of receptive versus non‐receptive contexts on change. The analysis reveals limited success in improving performance measurement practices (the content of change) in Trusts. Nevertheless the specific context within which change was operationalised was found to be very important, with central mangers playing a key role in influencing change. The process of change indicated slow shifts in clinical‐accountant‐managerial relations, partly driven by changes in financial flows within the organisations.     

Merchanting and Current Account Balances

Merchanting is goods trade that does not cross the border of the firm's country of residence. Merchanting grew strongly in the last decade in several European economies and has become an important determinant of these countries’ current account. Because merchanting firms reinvest their earnings abroad to expand their international activities, this practice raises national savings in the home country without increasing domestic investment. This paper examines the empirical linkages between merchanting and the current account balance. Using a sample of 53 countries during 1980–2011, it shows that merchanting activity is a determinant of the medium‐term current account balance.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Credit growth,current account and financial depth

Exploring the determinants and dynamics of the current account balance is one of the priorities of academic literature and policy circles. Although the effects of structural variables are deeply analysed, a lesser attention has been paid to the impact of financial variables. Drawing on standard empirical current account models and with a large sample of industrial and developing countries, we report a significant deterioration in the current account balance in case of an increase in the credit growth. Moreover, we find that this link is substantially stronger for the developing ones motivating a closer examination. Therefore, we further advance our analysis and show that credit growth causes a stronger impact on the current account balance for lower levels of financial depth. In other words, at the early stages of financial development, acceleration in the credit growth might cause a larger deterioration in the current account balance; thus, it might be suggested that monetary policy and macro-prudential measures aimed at preventing financial excess might be more effective to reduce the external imbalances at the early stages of financial deepening.     

Linking investment spikes and productivity growth

We investigate the relationship between productivity growth and investment spikes using Census Bureau’s plant-level dataset for the U.S. food manufacturing industry. There are differences in productivity growth and investment spike patterns across different sub-industries and food manufacturing industry in general. Our study finds empirical support for the learning-by-doing hypothesis by identifying some cases where the impact of investment spikes on TFP growth presents a U-shaped investment age–productivity growth pattern. However, efficiency and the learning period associated with investment spikes differ among plants across industries. The most pronounced impact of investment age on productivity growth (5.3 % for meat products, 4% for dairy products, and 2.8 % in all food manufacturing plants) occurs during the fifth year of post-investment spike. Thus, in general, the productivity gains tend to be fully realized with a 5-year technology learning period for this industry.     

Tourist shopping experiences and satisfaction

This paper examines tourists' perceived satisfaction with local shopping culture, staff service quality, product value and reliability, physical features of shops, payment methods, and other shopping and shop attributes with special reference to the region of Cappadocia, Turkey. A survey questionnaire was designed and conducted with tourists visiting the region on a guided tour. It was found that the respondents recorded different levels of satisfaction with various attributes of shops and shopping. Based on the research results, it is suggested that providing a higher level of shopping experience for tourists and increasing the contribution of shopping to the regional economy requires supporting indigenous local people via various fiscal and educational instruments to continue producing and retailing authentic handicrafts and souvenir goods. It is believed that this not only is necessary for the achievement of higher levels of tourist satisfaction and greater economic benefits for the local economy but also for achieving the ultimate goal of sustained and sustainable tourism development. Copyright © 2007 John Wiley & Sons, Ltd.     

Persistency of Turkish export shocks: a quantile autoregression (QAR) approach

This study analyzes the persistency of total and disaggregated Turkish exports for different shock magnitudes using the quantile autoregression (QAR) method in line with Koenker and Xiao (J Am Stat Assoc 99:775–787, 2004). The results suggest that the persistence of shocks are not similar across different quantiles of Total Exports and disaggregated export sectors, indicating an asymmetry in the case of negative and positive shocks across different export sectors. The persistency behavior of Total Exports as well as Food and Beverages, Chemicals, Basic Metals, Raw Materials, Motor Vehicles and Radio & TV exports are asymmetric to negative versus positive shocks, which cannot be captured by traditional unit root tests. Thus, sound interpretation of QAR results is necessary for policy makers to identify shock characteristics and thereby pursue appropriate policies for overcoming adverse impacts on the economy.