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| Jaenicke, Edward C.; Goetz, Stephan J.; Wu, Ping-Chao; Dimitri, Carolyn. |
| This paper investigates the certified organic handler sector, a specialized component of the middle part of the farm-to-table marketing chain, and documents the impacts of firm agglomeration (or firm clusters) on firm-level performance or firm-level decisions. After accounting for endogeneity in firm clustering, our findings confirm that firm clusters have significant impacts, though the estimate of the impact depends on how a firm cluster is defined. For example, significant impacts on sales per employee range from an additional $0.17 million to $1.47 million, depending on whether a small or large number of firms is used as the minimum number to define a firm cluster. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Firm clusters; Organic; Treatment effects; Agribusiness; Agricultural and Food Policy; Community/Rural/Urban Development. |
| Ano: 2009 |
URL: http://purl.umn.edu/49205 |
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| Gilligan, Daniel O.; Hoddinott, John. |
| The primary goal of emergency food aid after an economic shock is often to bolster short-term food and nutrition security. However, these transfers also act as insurance against other shock effects, such as destruction of assets and changes in economic activity, which can have lasting deleterious consequences. Although existing research provides some evidence of small positive impacts of timely food aid disbursements after a shock on current food consumption and aggregate consumption, little is known about whether these transfers play a safety net role by reducing vulnerability and protecting assets into the future. We investigate this issue by exploring the presence of persistent impacts of two major food aid programs following the 2002 drought in... |
| Tipo: Report |
Palavras-chave: Food aid; Treatment effects; Propensity score matching; Ethiopia; Food Security and Poverty. |
| Ano: 2006 |
URL: http://purl.umn.edu/55895 |
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| Becker, Sascha O.; Caliendo, Marco. |
| Based on the conditional independence or unconfoundedness assumption, matching has become a popular approach to estimate average treatment effects. Checking the sensitivity of the estimated results with respect to deviations from this identifying assumption has become an increasingly important topic in the applied evaluation literature. If there are unobserved variables that affect assignment into treatment and the outcome variable simultaneously, a hidden bias might arise to which matching estimators are not robust. We address this problem with the bounding approach proposed by Rosenbaum (Observational Studies, 2nd ed., New York: Springer), where mhbounds lets the researcher determine how strongly an unmeasured variable must influence the selection... |
| Tipo: Article |
Palavras-chave: Mhbounds; Matching; Treatment effects; Sensitivity analysis; Unobserved heterogeneity; Rosenbaum bounds; Research Methods/ Statistical Methods. |
| Ano: 2007 |
URL: http://purl.umn.edu/119255 |
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