An integrated production-distribution model for a deteriorating inventory item

We develop an integrated production-distribution model for a deteriorating item in a two-echelon supply chain. The supplier’s production batch size is restricted to an integer multiple of the discrete delivery lot quantity to the buyer. Exact cost functions for the supplier, the buyer and the entire supply chain are developed. These lead to the determination of individual optimal policies, as well as the optimal policy for the overall, integrated supply chain. We outline a procedure for determining the optimal supply chain decisions with the objective of minimizing the total system cost. Our approach is illustrated through a numerical example.     

Do rational demand functions differ from irrational ones? Evidence from an induced budget experiment

Various studies (e.g. Becker, 1962; Ariely et al., 2003) have noted anomalies concerning the relationship between observed demand and the preferences presumed to motivate it. We re-examine these findings using experimental choice data. After separating our subjects’ choices into rational and irrational subsets based on consistency with the axioms of revealed preference, we estimate and compare demand coefficients. Mirroring Ariely et al.'s ‘coherently arbitrary’ choice, both rational and irrational demand estimates exhibit negative price and positive endowment coefficients. However, a comparison of the full set of demand coefficients indicates significant differences between the two, yielding an observable artefact of the preference hypothesis. Relaxing the goodness-of-fit of the revealed preference test (Afriat, 1987; Varian, 1994) does not alter our findings.     

DISCRIMINATING SHORT AND LONG MEMORY IN FINITE SAMPLES USING SENSITIVITY ANALYSIS: AN APPLICATION TO GROWTH CONVERGENCE

The standard linear model where u_t is generated from an ARFIMA process, is considered. The sensitivity of the predictor and sensitivity of variance estimates of the linear model to long memory are investigated by constructing the statistical measures B_L/S and D_L/S , respectively. B_L/S and D_L/S is interpreted as a sensitivity measure for the long‐memory process without the short‐memory effects. As an application, the memory characteristics of per capita GDP of 30 countries are investigated from the Maddison GDP dataset. It is found that per‐capita GDP exhibits long memory characteristics, and the long‐run growth estimates are sensitive to the long memory characteristics.     

Leading Indicators for Euro‐area Inflation and GDP Growth*

In this paper, we evaluate the role of a set of variables as leading indicators for Euro‐area inflation and GDP growth. Our leading indicators are taken from the variables in the European Central Bank's (ECB) Euro‐area‐wide model database, plus a set of similar variables for the US. We compare the forecasting performance of each indicator ex post with that of purely autoregressive models. We also analyse three different approaches to combining the information from several indicators. First, ex post, we discuss the use as indicators of the estimated factors from a dynamic factor model for all the indicators. Secondly, within an ex ante framework, an automated model selection procedure is applied to models with a large set of indicators. No future information is used, future values of the regressors are forecast, and the choice of the indicators is based on their past forecasting records. Finally, we consider the forecasting performance of groups of indicators and factors and methods of pooling the ex ante single‐indicator or factor‐based forecasts. Some sensitivity analyses are also undertaken for different forecasting horizons and weighting schemes of forecasts to assess the robustness of the results.     

A re‐interpretation of the linear quadratic model when inventories and sales are polynomially cointegrated

Estimation of the linear quadratic model, the workhorse of the inventory literature, traditionally takes inventories and sales to be first‐difference stationary series, and the ratio of the two variables to be stationary. However, these assumptions do not always match the properties of the data for the last two decades in the United States. We propose a model that allows for the non‐stationary characteristics of the data, using polynomial cointegration. We show that the closed‐form solution has other recent models as special cases. The resulting model performs well on aggregate and disaggregated data. Copyright © 2006 John Wiley & Sons, Ltd.     

Information Acquisition Under Uncertainty in Credit Markets

This article studies information acquisition through investmentin improved risk assessment technology in competitive creditmarkets. A technology has two attributes: its ability to screenin productive borrowers, and its ability to screen out unproductiveborrowers. The two attributes have fundamentally different effectson acquisition incentives and the structure of equilibrium informationalexternalities between lenders. The article also studies howuncertainty associated with the quality of superior technologyaffects information acquisition incentives. Uncertainty influencesinformation acquisition even with risk-neutral banks. Increaseduncertainty may raise or dampen incentives, depending on whetheruncertainty is, respectively, about screening out or screeningin quality.     

How Efficiently is Capital Allocated? Evidence from the Knitted Garment Industry in Tirupur

This paper studies the effect of community identity on investment behaviour in the knitted garment industry in the South Indian town of Tirupur. We document very large and systematic differences in both levels of capital stock and the capital intensity of production in firms owned by people from two different community groups. We argue that the differences in investment cannot be explained by productivity differences alone. We suggest that the most likely explanation is that the two communities differ in their access to capital.     

Capital flows to Asia and Latin America: Does institutional quality matter?

Using a sample of 28 emerging market economies from Asia and Latin America spanning 1990–2013, we show that the marginal effect of capital flows on growth is positive and contingent on the threshold level of institutional quality (IQ). The conditional effect of capital flows holds for both the income per capita growth and total factor productivity (TFP) growth. We also determine the different threshold levels of IQ at which the marginal effect of capital flows is positive. The overall level of IQ in the Asian countries is superior to the Latin American countries and requires a lower threshold level to exert any positive effect. While the same conditional effect of IQ holds in Latin America for TFP growth, this effect is reversed in Asia. For very high levels of IQ (91st percentile), the marginal effect of capital flows on TFP growth in Asia is almost negligible. The marginal effects also vary based on the composition of capital flows in each region.     

Impact of Food Brand Controversy on Consumers’ Attitude Toward Brand and Company

It is critical to understand the impact of controversy on the consumer. There is a scarcity of research measuring post-controversy consumer attitude on both product and corporate brand during a controversy. The study is based on a recent brand controversy linked with instant noodle brand “Maggi” in India. The study examines impact on brand perceived quality, credibility, trust and loyalty, and attitude about brand and company. Data have been collected during July–October 2015 when the brand Maggi was banned in India due to quality-related controversy. Results indicate that respondents, with higher post-controversy brand loyalty, hold positive attitudes about brand. The interaction effect reveals that the relationship is significant and positive. During controversy, consumers’ attitude about brand and company is not identical. For a strong brand, consumers may have positive attitude but they become quite negative about company.