|
|
|
|
|
| Rahelizatovo, Noro C.; Gillespie, Jeffrey M.. |
| As with most agricultural industries, the U.S. dairy industry has evolved into a structure including fewer yet larger firms. In Louisiana, total milk production has declined along with dairy farm numbers since 1972. This study addresses the impact of alternative policies, macroeconomic factors, and technology on the structure of the Louisiana dairy industry using a micro-data non-stationary Markov chain analysis. Results indicate that a number of factors have affected the structure of the industry in Louisiana, including but not limited to prices, milk supply reduction programs, technology and interest rates. |
| Tipo: Journal Article |
Palavras-chave: Dairy farms; Markov chain analysis; Seemingly unrelated regression; Marketing. |
| Ano: 1999 |
URL: http://purl.umn.edu/15372 |
| |
|
|
| McDowell, Allen. |
| This article demonstrates how to estimate the parameters of a system of seemingly unrelated regressions when the equations are unbalanced, i.e., when the equations have an unequal number of observations. With estimators that require the data to be in wide format, such as Stata’s sureg, the equations must be balanced. Any additional observations that are available for some equations, but not for all, are discarded, potentially resulting in a loss of efficiency. Reshaping and scaling the data allows us to use Stata’s xtgee command to fit the model and obtain estimates utilizing all the available data. The resulting estimator is potentially more efficient when the equations are unbalanced. |
| Tipo: Journal Article |
Palavras-chave: SUR; Seemingly unrelated regression; Unbalanced equations; Generalized estimating equations; Research Methods/ Statistical Methods. |
| Ano: 2004 |
URL: http://purl.umn.edu/116272 |
| |
|
|
|
