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.     

A Note on How and Why Growth and Unemployment Go Hand in Hand in Developing Economies

This paper develops a simple model to explain the phenomenon of persistent unemployment, even in an economy experiencing high output growth. In the model, unemployment grows at a rate identical with the growth rate of input factors and sectors. The result is primarily triggered by a pre-fixed minimum wage for unskilled workers. To corroborate our claim, we have empirically tested our model hypothesis using data for 12 developing countries and found empirical results consistent with the theory. To mitigate or reduce unemployment, history becomes crucial in deciding on the desired rate of growth in different sectors.     

How incumbent firms foster consumer expectations, delay launch but still win the markets for next generation products

Consumers learn quality of many durable products through word-of-mouth information while firms launch new and improved products frequently in these markets. This paper examines firm incentives to invest in R&D to compete for patents in makets where consumers rely on word-of-mouth information and have expectations about the new products before launch. When its loss due to a possible entry is above a threshold, an incumbent has more incentives than a potential entrant to invest in R&D for patents. Moreover, if the current product is more profitable, its true quality is above consumer priors and the quality of the new product is below a threshold, it is optimal for the incumbent to launch the new product after a time lag. The later the optimal time of launch, the greater is the incumbent’s potential loss if entry occurs and greater its incentives is to invest in R&D versus that of the entrants. While potential entrants are generally thought to have more incentives to invest in a drastic innovation which results in a race to launch the new products, we show that the more drastic the innovation, the later the optimal time of launch and greater are the incumbent’s incentives to invest in R&D when the value added of the new product can be conveyed to all the consumers. Only when consumers are uncertain about the value added of the new product, the incumbent’s incentives are lower. We also demonstrate that by promoting consumer expectations about the new product before launch, an incumbent has more time to launch and higher probability of dominating its market.     

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.     

Two Cheers and a Qualm for Behavioral Environmental Economics

Behavioral economics can gain more in-roads into environmental economics if we better understand why exchange institutions fail, more effectively reduce health risks and environmental conflicts, encourage more coordination and cooperation, design better incentive systems, more accurately estimate economic measures of value, and promote more protection at less cost. Behavioral economics deserves two cheers for advancing ideas of context-dependence and social preferences, which we illustrate with two examples of recent research.     

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.     

SEEKING RENT IN THE INFORMAL SECTOR

Rent seeking within the vast informal segment of the developing world is a relatively under‐explored topic in the interface of labor market policies and public economics. Moreover, how rent seeking and corruption within the informal segment gets affected by economic reforms targeted for the formal sector is rarely discussed in the literature. This paper fills the gap. We identify conditions under which economic reform in the formal segment will increase the rate of corruption or rent seeking in the informal sector and raise the pay‐off for those involved in rent‐seeking activities. When the formal sector contracts due to reforms, rent seeking in the informal sector may increase and lower the level of welfare unconditionally. Economic reforms may increase corruption instead of reducing it, unlike standard conjectures.     

Growth in India’s Service Sector: Implications of Structural Breaks

The paper is an attempt to identify the multiple structural breaks in India’s GDP, as well as its main growth enhancing sector i.e., services and its components and subsequently calculate the growth rate in different regimes. The paper uses the Bai-Perron (Econom 66(1), 1998, J Appl Econom 18(1), 2003) methodology of estimating multiple endogenous structural breaks (both pure and partial) in India’s service sector and its components and GDP during 1950–2010. Further, the paper uses the Boyce (Oxf Bull Econ Stat 48:385–391, 1986) methodology of estimating kinked exponential model of the growth rate, and further uses the Banerjee, Lumsdaine and Stock (J Business Econ Stat 10:271–287, 1992) test and the Lumsdaine and Pappel (Rev Econ Stat 79:212–218, 1997) test to check for the stationarity in the presence of structural breaks. The data used in this paper are the components of subsectors of services GDP and GDP at factor cost (with 2004–2005 as base). It is found that there is very little difference between the estimation of pure and partial structural break dates in India’s services GDP and its subsectors and four such breaks have been identified with help of Bai-Perron (Econom 66(1), 1998, J Appl Econom 18(1), 2003) methodology. The Boyce methodology of estimation of growth rates finds that mainly in the third and fourth regimes, the growth rates are highest in the subsectoral as well as at the aggregate levels of services GDP. The Banerjee, Lumsdaine and Stock test (J Business Econ Stat 10:271–287, 1992) and the extended Lumsdaine and Pappel test (Rev Econ Stat 79:212–218, 1997) cannot negate the presence of unit root in the data, irrespective of the presence of multiple structural breaks. The paper concludes with the identification of four broad regimes of growth of India’s services GDP and in the subsectors with possible explanations thereof.