This paper develops an approach to decompose farmland price time series into three components: permanent fundamental component, temporary fundamental component, and nonfundamental component. This decomposition is useful for studying the importance of fundamental versus nonfundamental factors in explaining farmland price behavior and the dynamic response of farmland price to shocks to each of these components, among other issues. The approach is applied to annual Iowa farmland prices over the 1922-1994 sample period. 1
Time-series methods based on panel data are used to increase the power of conventional econometric t...
The land-price boom of the 1970s followed by the bust of the 1980s generated considerable interest i...
Time-series methods based on panel data are used to increase the power of conventional econometric t...
This paper develops an approach to decompose farmland price time series into three components: perma...
This paper develops an approach to decompose farmland price time series into three components: perma...
We develop an approach to decompose farmland price time series into three uncorrelated components: p...
This paper develops an approach to decompose farmland price time series into three components: perma...
We develop an approach to decompose farmland price time series into three uncorrelated com-ponents: ...
A consensus appears to be forming that farmland price movements are not well-explained by the presen...
A study of farmland sales in four South Dakota counties indicated productivity and location variable...
This dissertation investigates the question of whether asset prices depart from fundamental value. T...
This dissertation investigates the question of whether asset prices depart from fundamental value. T...
This dissertation investigates the question of whether asset prices depart from fundamental value. T...
This paper studies the Illinois farmland market during the period 1985-1999. Financial conditions, m...
A study of farmland sales in four South Dakota counties indicated productivity and location variable...
Time-series methods based on panel data are used to increase the power of conventional econometric t...
The land-price boom of the 1970s followed by the bust of the 1980s generated considerable interest i...
Time-series methods based on panel data are used to increase the power of conventional econometric t...
This paper develops an approach to decompose farmland price time series into three components: perma...
This paper develops an approach to decompose farmland price time series into three components: perma...
We develop an approach to decompose farmland price time series into three uncorrelated components: p...
This paper develops an approach to decompose farmland price time series into three components: perma...
We develop an approach to decompose farmland price time series into three uncorrelated com-ponents: ...
A consensus appears to be forming that farmland price movements are not well-explained by the presen...
A study of farmland sales in four South Dakota counties indicated productivity and location variable...
This dissertation investigates the question of whether asset prices depart from fundamental value. T...
This dissertation investigates the question of whether asset prices depart from fundamental value. T...
This dissertation investigates the question of whether asset prices depart from fundamental value. T...
This paper studies the Illinois farmland market during the period 1985-1999. Financial conditions, m...
A study of farmland sales in four South Dakota counties indicated productivity and location variable...
Time-series methods based on panel data are used to increase the power of conventional econometric t...
The land-price boom of the 1970s followed by the bust of the 1980s generated considerable interest i...
Time-series methods based on panel data are used to increase the power of conventional econometric t...