This research develops a theoretical framework within which the impact of farmland capital gains and losses on agricultural production, finance, and enterprise choice decisions can be analyzed. A preliminary test of this theoretical model is conducted using a deterministic dynamic programming model of a central Iowa farm firm in the period 1970-1984. Though the theoretical model was developed to examine the impact of farmland price changes, it may be extended to analyze decisions involving any durable assets which may earn capital gains or losses;The model suggests that real estate capital gains provide incentives to increase farm acreage, incur greater debt to purchase the appreciating land, and decrease holdings of more liquid nonland ass...
1.1 Overview Agriculture in the past has experienced many changes. Examples of these changes are: de...
The 1970's were characterized by growth in agriculture. There were increases in agricultural export...
Farm-level Census data and county-level income shock data reveal that past unexpected income shocks ...
This research develops a theoretical framework within which the impact of farmland capital gains and...
Most farm land acquisitions involve a significant commitment of money capital. The proportion of own...
This study evaluates the sensitivity of a grain farm’s financial condition to financial variables. A...
Graduation date: 1981Investing in farmland is one of the most important decisions that\ud farmers fa...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.The purpose of this research ...
Over the short run, resource prices affect the level and mix of inputs and outputs and deter-mine th...
This paper studies the Illinois farmland market during the period 1985-1999. Financial conditions, m...
A farmer's choices of tenure and farm size result from a complex interplay of economic factors,...
Agricultural credit market imperfections affect the dynamics of the farming sector, farmers'' debt l...
This study determined the effects of liquidity costs and capital rationing on the firm\u27s optimal ...
This paper examines farmland investment decisions using a stochastic dynamic programming framework. ...
Farmland plays a unique and important role in agriculture. Farm real estate (which includes land and...
1.1 Overview Agriculture in the past has experienced many changes. Examples of these changes are: de...
The 1970's were characterized by growth in agriculture. There were increases in agricultural export...
Farm-level Census data and county-level income shock data reveal that past unexpected income shocks ...
This research develops a theoretical framework within which the impact of farmland capital gains and...
Most farm land acquisitions involve a significant commitment of money capital. The proportion of own...
This study evaluates the sensitivity of a grain farm’s financial condition to financial variables. A...
Graduation date: 1981Investing in farmland is one of the most important decisions that\ud farmers fa...
169 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.The purpose of this research ...
Over the short run, resource prices affect the level and mix of inputs and outputs and deter-mine th...
This paper studies the Illinois farmland market during the period 1985-1999. Financial conditions, m...
A farmer's choices of tenure and farm size result from a complex interplay of economic factors,...
Agricultural credit market imperfections affect the dynamics of the farming sector, farmers'' debt l...
This study determined the effects of liquidity costs and capital rationing on the firm\u27s optimal ...
This paper examines farmland investment decisions using a stochastic dynamic programming framework. ...
Farmland plays a unique and important role in agriculture. Farm real estate (which includes land and...
1.1 Overview Agriculture in the past has experienced many changes. Examples of these changes are: de...
The 1970's were characterized by growth in agriculture. There were increases in agricultural export...
Farm-level Census data and county-level income shock data reveal that past unexpected income shocks ...