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Estimating Demand Heterogeneity Using Aggregated Data: An Application to the Frozen Pizza Category
2009
Marketing science (Providence, R.I.)
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Empirically, the approach is used to evaluate the launch of a new national brand, DiGiorno, in the Frozen Pizza Category. ...
Using only the standard information, i.e., market shares, in estimating the choicebased aggregate-level demand model leads, in our data, to poor estimates of the degree of consumer taste variation and ...
In this paper, we aim to improve the estimation of demand, and of consumer heterogeneity in particular, using aggregate level data. ...
doi:10.1287/mksc.1080.0403
fatcat:76yjfpbdrfdupasw5f4ztwzoqa
Big Data in economics
2018
IZA World of Labor
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Acknowledgments The authors thank an anonymous referee and the IZA World of Labor editors for many helpful suggestions on earlier drafts. ...
Diet sodas would be expected to be close to each other in this space, and quite far away from frozen pizzas. ...
In the second step, errors in the regression are used to construct restrictions on the data, which are then solved to produce an unbiased estimate of the treatment effect. ...
doi:10.15185/izawol.451
fatcat:gnnd2p5wnvezlicnzsbhd6ed3a
Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information
2016
European Journal of Operational Research
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, and the use of a rolling scheme to generate forecasts. ...
The method consists of the identification of potentially influential categories, the building of the explanatory variable space, variable selection and model estimation by a multistage LASSO regression ...
Feature advertising is also frequently used in many categories, such as frozen pizza and carbonated beverages. Display is only used occasionally for most of the categories except beer. ...
doi:10.1016/j.ejor.2015.08.029
fatcat:a6c254d6azfyroqmpkvvfal5vy
Firm Heterogeneity in Consumption Baskets: Evidence from Home and Store Scanner Data
2018
Social Science Research Network
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We use the microdata to examine alternative explanations, propose a tractable quantitative model with two-sided heterogeneity that rationalizes the observed moments, and calibrate it to explore general ...
A growing literature has documented the role of firm heterogeneity within sectors in accounting for nominal income inequality. ...
FOODS
FROZEN NOVELTIES
WEIGHT WATCHERS
GENERIC STORE BRAND
0.025
0.986
FROZEN FOODS
FROZEN WAFFLES & PANCAKES & FRENCH TOAST
KELLOGG'S EGGO
AUNT JEMIMA
0.491
0.129
FROZEN FOODS
PIZZA-FROZEN ...
doi:10.2139/ssrn.3173774
fatcat:3trw6mlrejcsnde65y4djie2xy
Predicting the Effects of Sugar-Sweetened Beverage Taxes on Food and Beverage Demand in a Large Demand System
2013
American Journal of Agricultural Economics
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Keywords obesity; sugar-sweetened beverage tax; censored demand; price endogeneity The objective of this study is to predict the effect of sugar-sweetened beverage (SSB) taxes on demand for 23 categories ...
A censored Exact Affine Stone Index incomplete demand system is estimated for 23 packaged foods and beverages and a numéraire good. Instrumental variables are used to control for endogenous prices. ...
We thank ERS for access to the Homescan data; Melanie Ball, Jeremy Bray, and Matthew Farrelly for the C2ER data; and David Chrest and Kibri Everett for GIS analyses. ...
doi:10.1093/ajae/aat049
pmid:24839299
pmcid:PMC4022288
fatcat:4yosa5v6qvgyfpgj2cpf4rvteu
Market Roll-Out and Retailer Adoption for New Brands
2004
Marketing science (Providence, R.I.)
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The model is calibrated on data covering the introduction of two very successful new brands in the frozen pizza category. ...
For these brands, manufacturers sequentially enter markets based on spatial proximity to markets already entered (spatial evolution), and on whether chains in these markets adopted previously elsewhere ...
Finally, the authors would like to thank IRI for generously supplying the data for this study. ...
doi:10.1287/mksc.1040.0072
fatcat:kfkxdd4ignfdbji63kkbplv324
Simulating the Impact of Carbon Taxes on Greenhouse Gas Emission and Nutrition in the UK
2018
Sustainability
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This study uses consumption, nutrient and GHG emission data to estimate the impact of two ad-valorem taxes: one applied by food category and another by the carbon emission of the products. ...
The results suggest that the carbon consumption tax scenarios would reduce GHG emissions by a greater quantity relative to the ad-valorem tax scenario; however, the intake of important nutrients will also ...
The authors would like to thank the SUSDIET partners for discussions on the topic, in particular Professors Xavier Irz and Paolo Sckokai. All remaining errors are our own. ...
doi:10.3390/su10010134
fatcat:56hltwdfvfdsvmxl7bwmurbpmy
A Model of Heterogeneous Multicategory Choice for Market Basket Analysis
2013
Review of Marketing Science
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Nr. 456 JEL Classification: C11, C35, C52, M31 Abstract Based on market basket data, multicategory purchase incidence models analyze demand interdependencies between product categories. ...
We nd that a homogeneous model would overestimate the intensity of interaction between product categories. ...
An approach commonly used in market basket analysis is inferring heterogeneity over the covariation of error terms and estimating the model over a hierarchical Bayes structure with MCMC simulations. ...
doi:10.1515/roms-2012-0001
fatcat:gekcslkz2vfvrld5clpn6utrwy
A Parsimonious Model of Stockkeeping-Unit Choice
2003
Journal of Marketing Research
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We achieve this model parsimony by neither discarding data nor aggregating the level of analysis beyond the SKU level. ...
Since the number of parameters does not depend on either the number of SKUs in the category or number of levels in each salient attribute, it is particularly useful for demand forecasting and inventory ...
The frozen pizza category has as many as 145 package sizes and the eggs category has only 3. ...
doi:10.1509/jmkr.40.3.351.19232
fatcat:nmvahysuvfahjkhkbhicyosxlu
How Well Does Consumer-Based Brand Equity Align with Sales-Based Brand Equity and Marketing-Mix Response?
2017
Journal of Marketing
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The model is estimated for each of the 25 categories, using data aggregated up to the national brand-week level. The attraction model has several benefits. ...
Others use scanner panel choice data to provide segment-level estimates (Kamakura and Russell 1993), or store or market sales data to provide aggregate estimates (Sriram, Balachander, and Kalwani 2007 ...
Please place an "X" in the box for each characteristic which applies to the brand.
Yes or No
Relevance Relevance By "relevance" we mean how appropriate the brand is for you personally. ...
doi:10.1509/jm.15.0340
fatcat:m64pvtimqbgjrfzdirxo2gzudu
Optimisation Modelling to Assess Cost of Dietary Improvement in Remote Aboriginal Australia
2013
PLoS ONE
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Objective: We used optimisation modelling to examine the dietary change required to achieve nutrient requirements at minimum cost for an Aboriginal population in remote Australia, using where possible ...
Design: A twelve month cross-section of population-level purchased food, food price and nutrient content data was used as the baseline. ...
, for expert advice on database design and application. ...
doi:10.1371/journal.pone.0083587
pmid:24391790
pmcid:PMC3877064
fatcat:i7zdhzio6rhijb4lzy3btcctom
An investigation into food-away-from-home consumption in South Africa
2017
Development Southern Africa
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Review of methodologies used to determine the effects of income and socio-demographic variables on demand for food-away-fromhome
Introduction This chapter reviews the methods used to estimate the demand ...
Consequently an
appropriate model that is able to handle censored data is required to estimate the
effect of income and socio-demographic variables on FAFH expenditure. ...
Appendix A: Appendix B: Average Partial Effects (APE) of the LOG(Income) and the LOG(Income decile groups) for the IES of 2005/2006 ...
doi:10.1080/0376835x.2017.1412295
fatcat:o3z5y3vyu5gplguzitp6z5dnly
The Impact of Advertising Along the Conversion Funnel
2017
Social Science Research Network
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Using these novel data, we trace out how advertising a↵ects consumer behavior along the path-to-purchase. ...
We find advertising has no significant e↵ect on the number of consumers visiting the category being advertised. The null e↵ect is precisely estimated. ...
In a second test, we confine our analysis to perishable products (frozen entrees, frozen pizza, milk, yogurt, butter / margarine, and hot dogs), for which displays are rare due to the need for these products ...
doi:10.2139/ssrn.2920953
fatcat:npfm4ufpszeznoymthuvt4rlk4
The Geography of Poverty and Nutrition: Food Deserts and Food Choices Across the United States
2018
Social Science Research Network
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Using a structural demand model, we find that exposing low-income households to the same availability and prices experienced by high-income households reduces nutritional inequality by only 9%, while the ...
We study the causes of "nutritional inequality": why the wealthy tend to eat more healthfully than the poor in the U.S. ...
Using the parameter estimates, we also back out each observation's fitted error term,ε ijt , which captures heterogeneity in preferences within an income group. ...
doi:10.2139/ssrn.3095779
fatcat:63xyremixvbzjhkfosyp42hs3e
D4.1 - Methodologies and tools for quantifying the economic activity from multi-factorial sources and in spatio-temporal terms
2018
Zenodo
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This deliverable refers to the methodology and data used for estimating the economic impact of policy decisions at a regional level. ...
The generic nature of the model contributes to its sustainability in time while it enables it to be used in several other cases than just the pilot cases that are included in the project. ...
In doing so, gravity model is used, which is an easy to use model and has been empirically tested in many applications. ...
doi:10.5281/zenodo.3385978
fatcat:uvh5a3orrffpvnhyisebcaszia
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