Coupons and private labels: A cross-category analysis of grocery products

This article examines the influence of coupons on private label shares of grocery products. The impact of national brand and private label coupons, distributed by manufacturers and retailers, is examined. A consumer framework and a typology of coupon effects are developed to explain different types of coupon usage behavior. Aggregate scanner panel data on 480 product categories are used in the analysis. Both the type of coupon and the method of distribution (by manufacturer or by retailer) are found to be important determinants of private label share response. Couponing activities by the national brand manufacturer are negatively related to private label share, thus indicating that they may be effective deterrents of private label penetration. However, couponing activities related to private labels do not help increase private label shares. The surprising finding is that national brand store couponing activity is positively related to private label share.     

A simplified method of constrained parameter estimation in conjoint analysis

Part-worths estimated via regression are replaced by constrained part-worths that are as close to the original part-worths as possible subject to any a priori constraints on the ordering of preferences for the levels of each attribute.This approach produces significant improvements in validations on holdout samples when employed with either ACA or full-profile conjoint analysis. The improvements in full-profile validations are similar to those obtained when constraints are imposed with LINMAP. A smaller gain is achieved with ACA.     

Efficiency and productivity in the Indian unorganized manufacturing sector: did reforms matter?

This paper analyzes total factor productivity growth of the unorganized manufacturing sector in India using several rounds of the large scale national sample survey state level data for 15 major Indian states for the period 1978–1979 to 2000–2001. Data envelopment analysis is used to compute Malmquist total factor productivity index and its components. The impact of economic reforms on efficiency and productivity is examined. Evidence suggests that total factor productivity registered a positive growth during the period in the country as a whole. Most states in the country witnessed higher total factor productivity growth in the post 1990s reforms period than in the pre-reforms period. Decomposition of the Malmquist productivity index shows that improvement in technical efficiency rather than technical progress had contributed to the observed acceleration in the growth rate. Econometric analysis of the determinants of total factor productivity growth demonstrates that ownership, literacy, farm growth and infrastructure availability significantly influence total factor productivity growth in the sector.

A distributed lag estimator derived from Shiller's smoothness priors: An extension

In this paper we consider a polynomial distributed model with varying coefficients and Shiller's smoothness priors. It has been shown that the Bayes estimator under this specification produces a less smooth lag pattern than the Almon and Shiller estimators for the fixed coefficients case.     

Analyst recommendations and the implied cost of equity

We investigate the relation between analyst recommendations and the cost of equity implied by current stock price and earnings forecasts. Contrary to expectations, previous-year recommendation upgrades are associated with increases in the current cost of equity; and past increases in the cost of equity are associated with current recommendation downgrades. Furthermore, changes in the implied cost of equity and changes in analyst recommendations jointly explain as much as 31% of the variation in 1-year holding period returns, where most of the variation (28%) is explained by the implied cost of equity alone. We document that when forming recommendations, analysts underestimate the role of the cost of equity.     

Enhancing organizational sensemaking: An examination of the interactive effects of sales capabilities and marketing dashboards

Current marketing research highlights the direct effects of marketing resources on firm performance. Few studies, however, examine how such resources interact with one another and contribute to the strategic actions, such as sensemaking. In this study, we investigate how sales capabilities and performance monitoring via marketing dashboards influence a firm's sensemaking. The results from our study suggest that sales capability and the use of marketing dashboards not only contribute directly, but also have an interactive effect, highlighting the importance of integrating both sales and marketing operations. Further, we find evidence that sensemaking influences cost control and enhances customer relationship performance, suggesting that sensemaking has the potential to simultaneously impact both cost efficiency and growth.