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| Hoechle, Daniel. |
| I present a new Stata program, xtscc, that estimates pooled ordinary least-squares/weighted least-squares regression and fixed-effects (within) regression models with Driscoll and Kraay (Review of Economics and Statistics 80: 549–560) standard errors. By running Monte Carlo simulations, I compare the finite-sample properties of the cross-sectional dependence–consistent Driscoll–Kraay estimator with the properties of other, more commonly used covariance matrix estimators that do not account for cross-sectional dependence. The results indicate that Driscoll–Kraay standard errors are well calibrated when cross-sectional dependence is present. However, erroneously ignoring cross-sectional correlation in the estimation of panel models can lead to severely... |
| Tipo: Article |
Palavras-chave: Xtscc; Robust standard errors; Nonparametric covariance estimation; Research Methods/ Statistical Methods. |
| Ano: 2007 |
URL: http://purl.umn.edu/119278 |
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| Park, Timothy A.; Florkowski, Wojciech J.. |
| Timely adoption of new varieties is critical to profitable peach production, and peach quality is a primary factor driving adoption. An adoption model for peach varieties is estimated, incorporating grower evaluations of peach quality. The model identifies the impact of farm characteristics such as the farmer's quality preferences, on-farm agronomic and orchard conditions, as well as geographic effects in Georgia peach-growing regions. The relative impact of the key external and internal peach quality attributes on adoption is assessed. Decisions on new varieties are influenced by the age distribution of the orchard, information which can be used in targeting new varieties to growers. |
| Tipo: Journal Article |
Palavras-chave: Count data; Peach variety adoption; Robust standard errors; Crop Production/Industries. |
| Ano: 2003 |
URL: http://purl.umn.edu/30724 |
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