The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
The Growth of Obesity and Technological Change: A Theoretical and Empirical Examination
Open accessAbstract
This paper provides a theoretical and empirical examination of the long-run growth in weight over time.We argue that technological change has induced weight growth by making home-and marketproduction more sedentary and by lowering food prices through agricultural innovation.We analyze how such technological change leads to unexpected relationships among income, food prices, and weight.Using individual-level data from 1976 to 1994, we then find that such technology-based reductions in food prices and job-related exercise have had significant impacts on weight across time and populations.In particular, we find that about forty percent of the recent growth in weight seems to be due to agricultural innovation that has lowered food prices, while sixty percent may be due to demand factors such as declining physical activity from technological changes in home and market production.
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Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873
Current Estimates of the Economic Cost of Obesity in the United States
Wolf, A. M., & Colditz, G. A. (1998) · Obesity Research · doi:10.1002/j.1550-8528.1998.tb00322.x · Cited by 1,244
An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System
Chou, S.-Y., Grossman, M., & Saffer, H. (2004) · Journal of Health Economics · doi:10.1016/j.jhealeco.2003.10.003 · Cited by 1,055
Human resources: Empirical modeling of household and family decisionsPreprint
Strauss, J. S., & Thomas, D. (1995) · RePEc: Research Papers in Economics · Cited by 916
Hamermesh, D., & Biddle, J. (1993) · National Bureau of Economic Research · doi:10.3386/w4518 · Cited by 702
The Long-Run Growth in Obesity as a Function of Technological Change
Philipson, T., & Posner, R. (1999) · National Bureau of Economic Research · doi:10.3386/w7423 · Cited by 476
Self-citationRETAIL PRICE REACTIONS TO CHANGES IN STATE AND LOCAL SALES TAXES
POTERBA, J. M. (1996) · National Tax Journal · doi:10.1086/ntj41789195 · Cited by 291
Sales Taxes and Prices: An Empirical Analysis
Besley, T. J., & Rosen, H. S. (1998) · National Bureau of Economic Research · doi:10.3386/w6667 · Cited by 287
The Long-Run Growth in Obesity as a Function of Technological Change
Philipson, T. J., & Posner, R. A. (2003) · Perspectives in Biology and Medicine · doi:10.1353/pbm.2003.0058 · Cited by 230
Self-citationThe world-wide growth in obesity: an economic research agenda
Philipson, T. (2001) · Health Economics · doi:10.1002/1099-1050(200101)10:1<1::aid-hec586>3.0.co;2-1 · Cited by 209
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Food, livestock production, energy, climate change, and health
McMichael, A. J., Powles, J. W., Butler, C. D., & Uauy, R. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61256-2 · Cited by 1,226
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WHO IS ‘BEHAVIORAL’? COGNITIVE ABILITY AND ANOMALOUS PREFERENCES
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Metadata
- Authors
- Lakdawalla, D., & Philipson, T.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2002-05
- OpenAlex
- W2124744195
- Cited by
- 481
- References
- 17
- Type
- report
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
