Self-scanning technologies in retail: Determinants of adoption

Self-scanning represents a form of customer participation in service creation, a form of self-service and a technology-based service delivery device. This study, conducted within the large-scale retail sector, pursues a dual aim: firstly, to assess the link between satisfaction with self-scanning and some of its possible antecedents; secondly we intend to determine whether satisfaction with this service has any impact on consumers' overall opinion of the supermarket and their intention to patronise the store with greater frequency. The data show that both the sense of control and hedonic component have a positive impact on satisfaction with self-scanning and further bring to light that service satisfaction is an antecedent both of customers' opinion of the supermarket and their intention to patronise the store more frequently.     

When less is more: Rationing and rent dissipation in stochastic contests

This paper shows how to maximize revenue when a contest is noisy. We consider a case where two or more contestants bid for a prize in a stochastic contest where all bidders value the prize equally. We show that, whenever a Tullock contest yields under-dissipation, the auctioneer?s revenue can be increased by optimally fixing the number of tickets. In particular, in a stochastic contest with proportional probabilities, it is possible to obtain (almost) full rent dissipation. We test this hypothesis with a laboratory experiment. The results indicate that, as predicted, revenue is significantly higher in a lottery with rationing than in a standard lottery. On the other hand, an alternative rationing mechanism that does not limit total expenditures fails to increase revenue relative to a standard lottery.     

The Financial Resource Curse*

In this paper, we present a model of the financial resource curse (i.e., episodes of abundant access to foreign capital coupled with weak productivity growth). We study a two‐sector (i.e., tradable and non‐tradable) small open economy. The tradable sector is the engine of growth, and productivity growth is increasing with the amount of labor employed by firms in the tradable sector. A period of large capital inflows, triggered by a fall in the interest rate, is associated with a consumption boom. While the increase in tradable consumption is financed through foreign borrowing, the increase in non‐tradable consumption requires a shift of productive resources toward the non‐tradable sector at the expenses of the tradable sector. The result is stagnant productivity growth. We show that capital controls can be welfare‐enhancing and can be used as a second‐best policy tool to mitigate the misallocation of resources during an episode of financial resource curse.     

A Comparison of Sequential and Information‐based Methods for Determining the Co‐integration Rank in Heteroskedastic VAR Models

In this article, we investigate the behaviour of a number of methods for estimating the co‐integration rank in VAR systems characterized by heteroskedastic innovation processes. In particular, we compare the efficacy of the most widely used information criteria, such as Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) , with the commonly used sequential approach of Johansen [Likelihood‐based Inference in Cointegrated Vector Autoregressive Models (1996)] based around the use of either asymptotic or wild bootstrap‐based likelihood ratio type tests. Complementing recent work done for the latter in Cavaliere, Rahbek and Taylor [Econometric Reviews (2014) forthcoming], we establish the asymptotic properties of the procedures based on information criteria in the presence of heteroskedasticity (conditional or unconditional) of a quite general and unknown form. The relative finite‐sample properties of the different methods are investigated by means of a Monte Carlo simulation study. For the simulation DGPs considered in the analysis, we find that the BIC‐based procedure and the bootstrap sequential test procedure deliver the best overall performance in terms of their frequency of selecting the correct co‐integration rank across different values of the co‐integration rank, sample size, stationary dynamics and models of heteroskedasticity. Of these, the wild bootstrap procedure is perhaps the more reliable overall as it avoids a significant tendency seen in the BIC‐based method to over‐estimate the co‐integration rank in relatively small sample sizes.     

An econometric analysis of emission allowance prices

Knowledge of the statistical distribution of the prices of emission allowances, and their forecastability, are crucial in constructing, among other things, purchasing and risk management strategies in the emissions-constrained markets. This paper analyzes the two emission permits markets, CO₂ in Europe, and SO₂ in the US, and investigates a model for dealing with the unique stylized facts of this type of data. Its effectiveness in terms of model fit and out-of-sample value-at-risk-forecasting, as compared to models commonly used in risk-forecasting contexts, is demonstrated.     

An insight into the Italian economy from an analysis based on the industrial production index in both frequency and time domains

This paper aims to gain new insights into the Italian economic tendency toward recovery by investigating the Industrial Production Index series (IPI). The trend and cyclical components of the series are determined using a novel technique which hinges on optimal truncated ideal low‐pass filters. The contributions of the latent components to the IPI series are brought to the fore by a spectrum analyzer that evaluates the spectra of the said components in the bands of interest. The analysis results corroborate that the Italian economy is still subject to cyclical effects that can compromise its recovery.     

Interpreting shocks to the relative price of investment with a two-sector model

Consumption and investment comove over the business cycle in response to shocks that permanently move the price of investment. The interpretation of these shocks has relied on standard one-sector models or on models with two or more sectors that can be aggregated. We show that the same interpretation can also be motivated with a model that captures key features of the US Input–Output Tables and cannot be aggregated into a standard one-sector model. Our alternative model yields a closer match to the empirical evidence of positive comovement for consumption and investment subject shocks that permanently move the price of investment.     

Optimal Redistributive Income Taxation and Efficiency Wages*

In this paper, we integrate efficiency wage setting with the theory of optimal redistributive income taxation. In doing so, we use a model with two skill types, where efficiency wage setting characterizes the labor market faced by the low‐skilled, whereas the high‐skilled face a conventional, competitive labor market. We show that the marginal income tax implemented for the high‐skilled is negative under plausible assumptions. The marginal income tax facing the low‐skilled can be either positive or negative, in general. An increase in unemployment benefits contributes to a relaxation of the binding self‐selection constraint, which makes this instrument particularly useful from the perspective of redistribution.     

Neoclassical growth model with two fixed delays

“Delay” has been considered as one of destabilizing factors in economic dynamics for a long time. Dynamic macroeconomics is concerned with explaining growth and fluctuations. This paper shows how various dynamics involving cyclic fluctuations can emerge in the standard neoclassical growth model when two distinct delays, a delay in production and a delay in depreciation, are explicitly taken into account. We first confirm that the production delay has a stabilizing effect and the depreciation delay has a destabilizing effect in a one‐delay model. We then determine the stability switching curve analytically in the two delay model. It is shown that cyclic fluctuations emerge via Hopf bifurcation when stability is lost. It is also found that stability loss and gain repeatedly occur. Numerical examples verify the theoretical results when the Cobb‐Douglas production function is adopted.     

ENDOGENOUS JOB CONTACT NETWORKS

We develop a model where workers, anticipating the risk of becoming unemployed, invest in connections in order to access information about available jobs that other workers may have. The investment in connections is high when the job separation rate in the labor market is moderate, whereas it is low for either low or high levels of job separation rate. The equilibrium response of network investment to changes in the labor market conditions generates novel empirical predictions. In particular, the probability that a worker finds a new job via his connections increases in the separation rate when the separation rate is low, whereas it decreases when the separation rate is high. These predictions are supported by the empirical patterns that we document for the U.K. labor market.