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Estimating Demand Heterogeneity Using Aggregated Data: An Application to the Frozen Pizza Category

Paulo Albuquerque, Bart J. Bronnenberg
2009 Marketing science (Providence, R.I.)  
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

Matthew Harding, Jonathan Hersh
2018 IZA World of Labor  
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

Shaohui Ma, Robert Fildes, Tao Huang
2016 European Journal of Operational Research  
, 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

Benjamin Faber, Thibault Fally
2018 Social Science Research Network  
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

C. Zhen, E. A. Finkelstein, J. M. Nonnemaker, S. A. Karns, J. E. Todd
2013 American Journal of Agricultural Economics  
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

Bart J. Bronnenberg, Carl F. Mela
2004 Marketing science (Providence, R.I.)  
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

Cesar Revoredo-Giha, Neil Chalmers, Faical Akaichi
2018 Sustainability  
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

Katrin Dippold, Harald Hruschka
2013 Review of Marketing Science  
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

Teck-Hua Ho, Juin-Kuan Chong
2003 Journal of Marketing Research  
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?

Hannes Datta, Kusum L. Ailawadi, Harald J. van Heerde
2017 Journal of Marketing  
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

Julie Brimblecombe, Megan Ferguson, Selma C. Liberato, Kerin O'Dea, Malcolm Riley, Qinghua Sun
2013 PLoS ONE  
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

Matthew Blick, Babatunde O Abidoye, Johann F Kirsten
2017 Development Southern Africa  
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

Stephan Seiler, Song Yao
2017 Social Science Research Network  
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

Hunt mname Allcott, Rebecca mname Diamond, Jean-Pierre mname Dubb
2018 Social Science Research Network  
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

Yiannis Pragidis, Georgios Geronikolaou, Panagiotis Tsintzos, Dionisios Chionis, Evaggelos Drympetas
2018 Zenodo  
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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