The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Effect of Liquor Taxes on Heavy Drinking
Abstract
In this article we present the strongest evidence to date that chronic heavy drinkers' consumption is responsive to changes in the price of liquor. We estimate that an increase in the liquor excise tax by one dollar (1967 prices) per proof gallon reduces the liver cirrhosis mortality rate by 5.4% in the short run and by perhaps twice that amount in the long run. (The liver cirrhosis mortality rate is a reliable proxy for the prevalence of chronic excess consumption.) Our estimate is based on an analysis of covariance of annual state-level data, for a 16-year panel of 30 states, with state excise taxes and per capita income as the covariates. Of course, our estimate is not sufficient to determine whether an increase in the liquor tax is worthwhile, much less to determine an "optimal" tax. It is, however, an important datum for making these determinations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Biases in dynamic models with fixed effects
Nickell, S. (1981) · Econometrica · doi:10.2307/1911408 · Cited by 8,735
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
Granger, C. W. J. (2010) · Essays in Econometrics · doi:10.1017/cbo9780511753978.002 · Cited by 4,762
Cited by
Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.112.1.64 · Cited by 5,428
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Natural and Quasi-Experiments in Economics
Meyer, B. D. (1995) · Journal of Business & Economic Statistics · doi:10.1080/07350015.1995.10524589 · Cited by 1,100
Hingson, R., Heeren, T., Winter, M., & Wechsler, H. (2005) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.26.021304.144652 · Cited by 1,102
The Estimation of Causal Effects by Difference-in-Difference Methods
Lechner, M. (2011) · Foundations and Trends® in Econometrics · doi:10.1561/0800000014 · Cited by 935
“1 The already mentioned paper by Donald and Lang (2007) is also particularly interested in the case of a small number of treated and controls, while the study by Conley and Taber (2011) mentioned above provides an alternative analysis that is geared to the intermediate case of a larger number of nontreated and a small…”
Background
Metadata
- Authors
- Cook, P. J., & Tauchen, G.
- Venue
- The Bell Journal of Economics
- Publisher
- JSTOR
- Published
- 1982
- Volume
- 13
- Issue
- 2
- Pages
- 379
- ISSN
- 0361-915X (ISSN-L)
- OpenAlex
- W1533505857
- Cited by
- 318
- References
- 3
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Effect of Liquor Taxes on Heavy Drinking. https://app.cochat.ai/papers/10.2307/3003461
- The paper
- Cook, P. J., & Tauchen, G. (1982). The Effect of Liquor Taxes on Heavy Drinking. The Bell Journal of Economics. https://doi.org/10.2307/3003461
Data sources
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.