|
|
|
| Registros recuperados: 2.166 | |
|
| |
|
| |
|
| |
|
| |
|
|
| Chavas, Jean-Paul. |
| This paper explores the economics of input decision by a firm facing production uncertainty. It relies on a state-contingent approach to production uncertainty. First, the paper develops a methodology to specify and estimate cost-minimizing input decisions under a state-contingent technology. Second, the analysis is applied to time series data on US agriculture. It finds strong empirical evidence that, in the analysis of input choices, expected output alone does not provide an appropriate representation of production uncertainty. The results provide empirical support for an output-cubical technology. This indicates that an ex post analysis of stochastic technology (as commonly found in previous research) appears appropriate. The analysis also provides... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Production uncertainty; State contingent; Cost; Cubical technology.; Research Methods/ Statistical Methods; C3; D21; D8. |
| Ano: 2006 |
URL: http://purl.umn.edu/21081 |
| |
|
| |
|
| |
|
| |
|
| |
|
|
| 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 |
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
| |
|
|
| Banterle, Alessandro; Carraresi, Laura; Cavaliere, Alessia. |
| Small and medium-sized enterprises (SMEs) are fighting for survival due to globalization, growing competition with big retailers, and strategies adopted by large industrial companies. Difficulties in pricing are also revealed in the literature. Therefore, appropriate activity is needed to be more a price maker than a taker, and to reach a better market power. On the other hand, market opportunities for SMEs are related to demand evolution toward food quality and traditional food products. To profit by such opportunities, SMEs need to focus on consumer requirements, by differentiating their products. In this way, firms could apply a premium price that justifies the peculiar value of the product, and that the consumer should be willing to pay. Nonetheless,... |
| Tipo: Presentation |
Palavras-chave: Traditional food products; Price setting; Marketing capability; Ordinal regression model; Agribusiness; Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety; Marketing; Research Methods/ Statistical Methods; L25; L66; M31; Q13. |
| Ano: 2011 |
URL: http://purl.umn.edu/122000 |
| |
|
| |
| Registros recuperados: 2.166 | |
|
|
|
