Measuring liquidity in agricultural land markets

Arbeitspapier

This paper contributes to the sparse empirical literature on measuring liquidity in agricultural land markets. Using data from Lower Saxony (Germany), we inspect the spatial and temporal variability of various liquidity indicators. We apply a panel vector autoregression (VAR) and Granger causality tests to examine the relationship between liquidity and prices and to identify further determinants of land market liquidity, such as supply shocks and clientele effects. Unlike in housing markets, no positive relationship between prices and market liquidity exists. We conclude that in agricultural land markets, a high demand from expanding farms absorbs supply shocks regardless of prevailing prices.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: FORLand-Working Paper ; No. 25 (2020)

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Agricultural Markets and Marketing; Cooperatives; Agribusiness ; Renewable Resources and Conservation: Land ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
• Thema: Agricultural land markets ; liquidity indicators ; panel vector autoregressive model ; Granger causality

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Kionka, Marlene ; Odening, Martin ; Plogmann, Jana ; Ritter, Matthias
• Ereignis: Veröffentlichung
• (wer): Humboldt-Universität zu Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets - Efficiency and Regulation"
• (wo): Berlin
• (wann): 2020

Weitere Informationen

• DOI: doi:10.18452/22244
• Handle: http://hdl.handle.net/10419/227608
• URN: urn:nbn:de:kobv:11-110-18452/22867-2
• Letzte Aktualisierung: 10.03.2025, 11:41 MEZ