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| Park, Jiyoung; Park, Changkeun; Nam, Sangjeong. |
| Until recently, it is hard to find studies to estimate how much the total economic losses for U.S. or other states by the BSE incidents except one dominant study by Devadoss et al (2005), which used CGE (Computable Generalized Equations) model for U.S. However, they are not reporting the direct impacts by each state and indirect impacts resulting from state-by-state economic relations. The interindustry relations and spatial connections have required to developing the Multiregional Input-Output (MRIO) type model, and in the sense, the experience of beef export closures to foreign countries is the suitable case enabling to estimate the economic impacts via inter-regional inter-industrial connections. Therefore, this study estimated the U.S. economic losses... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: BSE; Time-series; Multiregional Input-Output; Economic Impacts; Agricultural Policy; Health Economics and Policy. |
| Ano: 2006 |
URL: http://purl.umn.edu/21328 |
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| Katchova, Ani L.; Nam, Sangjeong. |
| We applied the migration approach to credit scoring measurement to determine how ratings, focused on farm characteristics such as farm size, age, and farm business type, change across business cycles. The empirical results from analyzing migration matrices using data from FBFM suggest that old, large and grain farms are more likely to upgrade their classes, while young, small, livestock farms are likely to downgrade. The migration matrices for each characteristic across the business cycles show that all farm businesses (except small, livestock farms) have a tendency to deteriorate during the recession cycles regardless of their characteristics. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Migration matrix; Business cycle; Path independence; Agricultural Finance. |
| Ano: 2005 |
URL: http://purl.umn.edu/19451 |
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| Nam, Sangjeong; Ellinger, Paul N.. |
| The main objective of this study is to identify the financial and market characteristics of commercial banks' branch expansion decision. The nested logit model is used to analyze the characteristics to affect the expansion decision and location choice of commercial banks due to a two-level nesting structure for branch expansion decision. The probability that banks with high deposit growth rate, assets, loan to deposit ratio or more branches open branches in rural area is less than the probability that those open branches in both areas. However, banks with high deposit growth rate, asset, loan to deposit ratio, agricultural loan rate, ROA and rural head office are more likely to open branches in both areas rather than in urban area. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Community/Rural/Urban Development. |
| Ano: 2008 |
URL: http://purl.umn.edu/6438 |
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