Panel Data Nonparametric Estimation of Production Risk and Risk Preferences: An Application to Polish Dairy Farms

Arbeitspapier

We apply nonparametric panel data kernel regression to investigate production risk, out-put price uncertainty, and risk attitudes of Polish dairy farms based on a firm-level unbalanced panel data set that covers the period 2004–2010. We compare different model specifications and different approaches for obtaining firm-specific measures of risk attitudes. We found that Polish dairy farmers are risk averse regarding production risk and price uncertainty. According to our results, Polish dairy farmers perceive the production risk as being more significant than the risk related to output price uncertainty.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: IFRO Working Paper ; No. 2013/6

Classification and Topics

• Classification: Wirtschaft ; Semiparametric and Nonparametric Methods: General ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity ; Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
• Subject: production risk ; price uncertainty ; nonparametric econometrics ; panel data ; Polish dairy farms

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Czekaj, Tomasz Gerard ; Henningsen, Arne
• Event: Veröffentlichung
• (who): University of Copenhagen, Department of Food and Resource Economics (IFRO)
• (where): Copenhagen
• (when): 2013

Further information

• Handle: http://hdl.handle.net/10419/204353
• Last update: 10.03.2025, 11:44 AM CET