Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to Insure
This paper aims at understanding what affects farmers’ choices to buy insurance against biotic threats. Using a survey-based dataset with 1187 observations on Veneto wine grapes farms, we regress a probit model with endogenous variables with a maximum likelihood (ML) routine. The results corroborate...
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| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/10/8/336 |
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doaj-9d6bdf64eda0490ca507468e54e20cb02021-04-02T12:57:36ZengMDPI AGAgriculture2077-04722020-08-011033633610.3390/agriculture10080336Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to InsureLaura Onofri0Samuele Trestini1Vasco Boatto2Department of Land, Environment, Agriculture and Forestry, University of Padua, Via dell’Università 16, 35020 Legnaro (PD), ItalyDepartment of Land, Environment, Agriculture and Forestry, University of Padua, Via dell’Università 16, 35020 Legnaro (PD), ItalyDepartment of Land, Environment, Agriculture and Forestry, University of Padua, Via dell’Università 16, 35020 Legnaro (PD), ItalyThis paper aims at understanding what affects farmers’ choices to buy insurance against biotic threats. Using a survey-based dataset with 1187 observations on Veneto wine grapes farms, we regress a probit model with endogenous variables with a maximum likelihood (ML) routine. The results corroborate the microeconomic theory according to which risk-adverse individuals are more propense to insure. In our framework, the farmers’ socioeconomic characteristics are treated as endogenous variables, which exist/are predetermined before the choice to insure (or not). This paper discusses the results in a policy perspective.https://www.mdpi.com/2077-0472/10/8/336risk aversion/propensityprobit with endogenous regressorsmaximum likelihood estimation routinginsurance marketmissing markets |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Laura Onofri Samuele Trestini Vasco Boatto |
| spellingShingle |
Laura Onofri Samuele Trestini Vasco Boatto Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to Insure Agriculture risk aversion/propensity probit with endogenous regressors maximum likelihood estimation routing insurance market missing markets |
| author_facet |
Laura Onofri Samuele Trestini Vasco Boatto |
| author_sort |
Laura Onofri |
| title |
Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to Insure |
| title_short |
Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to Insure |
| title_full |
Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to Insure |
| title_fullStr |
Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to Insure |
| title_full_unstemmed |
Who Is Afraid of Biotic Threats? An Econometric Analysis of Veneto Wine Grape Farmers’ Propensity to Insure |
| title_sort |
who is afraid of biotic threats? an econometric analysis of veneto wine grape farmers’ propensity to insure |
| publisher |
MDPI AG |
| series |
Agriculture |
| issn |
2077-0472 |
| publishDate |
2020-08-01 |
| description |
This paper aims at understanding what affects farmers’ choices to buy insurance against biotic threats. Using a survey-based dataset with 1187 observations on Veneto wine grapes farms, we regress a probit model with endogenous variables with a maximum likelihood (ML) routine. The results corroborate the microeconomic theory according to which risk-adverse individuals are more propense to insure. In our framework, the farmers’ socioeconomic characteristics are treated as endogenous variables, which exist/are predetermined before the choice to insure (or not). This paper discusses the results in a policy perspective. |
| topic |
risk aversion/propensity probit with endogenous regressors maximum likelihood estimation routing insurance market missing markets |
| url |
https://www.mdpi.com/2077-0472/10/8/336 |
| work_keys_str_mv |
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1721567011850420224 |