Consumer Research with Big Data: Applications from the Food Demand Survey (FooDS)-Reference-Cited by-同舟云学术

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Consumer Research with Big Data: Applications from the Food Demand Survey (FooDS)

Published:2017-03 Issue:2 Volume:99 Page:303-320
ISSN:0002-9092
Container-title:American Journal of Agricultural Economics
language:en
Short-container-title:American Journal of Agricultural Economics

Author:

Lusk Jayson L.¹

Affiliation:

1. Department of Agricultural EconomicsOklahoma State University

Funder

Oklahoma State University

Oklahoma Agricultural Experiment Station

National Institute of Food and Agriculture

Publisher

Wiley

Subject

Economics and Econometrics,Agricultural and Biological Sciences (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1093/ajae/aaw110

Reference29 articles.

1. Consumer Impact of Animal Welfare Regulation in the California Poultry Industry;Allender W.J.;Journal of Agricultural and Resource Economics,2010

2. Incorporating demand shifters in the Almost Ideal demand system

3. Machine Learning Methods for Demand Estimation

4. High-Dimensional Methods and Inference on Structural and Treatment Effects

5. The Role of Prices in Measuring the Poor's Living Standards

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1. Using machine‐learning methods in meta‐analyses: An empirical application on consumer acceptance of meat alternatives;Applied Economic Perspectives and Policy;2024-05-27

2. A new demand function graph: Analysis of retailer-to-individual customer product supply strategies under a non-essential demand pattern;PLOS ONE;2024-02-29

3. Societal Implications of Personalized Pricing in Online Grocery Shopping;Food Ethics;2024-02-15

4. Misconceptions and meat: The impact of new knowledge on meat demand;Agribusiness;2024-02-02

5. Big Data in Economics Research;Springer Proceedings in Business and Economics;2024

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