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Cited by 301

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Farm Growth and Survival: Econometric Evidence for Individual Farms in Upper Austria

Weiss, Christoph R.·1999·American Journal of Agricultural Economics

Abstract

This article investigates survival and growth of more than 50,000 Upper Austrian farm households within a maximum likelihood sample selection framework. The results suggest that age, schooling and sex of the farm operator, size of the farm family, and off‐farm employment status, as well as initial farm size, significantly influence farm growth and survival. The present study provides support for the notion of a “disappearing middle” in the size distribution. The process of polarization is closely related to the off‐farm employment status of farms. Correcting for sample‐attrition bias is important when analyzing the performance of part‐time farms.

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Metadata

Authors
Weiss, C. R.
Venue
American Journal of Agricultural Economics
Publisher
Wiley
Published
1999-02
Volume
81
Issue
1
Pages
103-116
ISSN
  • 0002-9092 (ISSN-L)
  • 1467-8276
OpenAlex
W2120334148
Cited by
301
References
1
FWCI
18.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Farm Growth and Survival: Econometric Evidence for Individual Farms in Upper Austria. https://app.cochat.ai/papers/10.2307/1244454
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Weiss, C. R. (1999). Farm Growth and Survival: Econometric Evidence for Individual Farms in Upper Austria. American Journal of Agricultural Economics. https://doi.org/10.2307/1244454

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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.