Are food price promotions predictable? The hazard function of supermarket discounts

Author(s):  
Hao Lan ◽  
Tim Lloyd ◽  
Wyn Morgan ◽  
Paul W. Dobson
2007 ◽  
Author(s):  
Lara N. Sloboda ◽  
Richard A. Chechile ◽  
Raymond S. Nickerson

2019 ◽  
Author(s):  
Kenneth W. Clements ◽  
Jiawei Si ◽  
Long Hai Vo
Keyword(s):  

Author(s):  
Rafael Portillo ◽  
Luis-Felipe Zanna

The chapter presents a small open-economy model to study the first-round effects of international food-price shocks in developing countries. First-round shocks are defined as changes in headline inflation that, holding core inflation constant, help implement relative price adjustments. The model features three goods (food, a generic traded good, and a non-traded good), varying degrees of tradability of the food basket, and alternative international asset market structures. First-round effects depend crucially on the asset market structure. Under complete markets, inter-temporal substitution prevails, making the inflationary impact of international food price shocks proportional to the food share in consumption, which in developing countries is typically large. Under financial autarky, the income channel is dominant, and first-round effects are instead proportional to the country’s food trade balance, which is typically small. The results cast some doubt on the view that international food price shocks inherently have large inflationary effects in developing countries.


2020 ◽  
Vol 70 (4) ◽  
pp. 953-978
Author(s):  
Mustafa Ç. Korkmaz ◽  
G. G. Hamedani

AbstractThis paper proposes a new extended Lindley distribution, which has a more flexible density and hazard rate shapes than the Lindley and Power Lindley distributions, based on the mixture distribution structure in order to model with new distribution characteristics real data phenomena. Its some distributional properties such as the shapes, moments, quantile function, Bonferonni and Lorenz curves, mean deviations and order statistics have been obtained. Characterizations based on two truncated moments, conditional expectation as well as in terms of the hazard function are presented. Different estimation procedures have been employed to estimate the unknown parameters and their performances are compared via Monte Carlo simulations. The flexibility and importance of the proposed model are illustrated by two real data sets.


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