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The determinants of rural non-farm e...
~
Sanchez, Valeria.
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The determinants of rural non-farm employment and incomes in Bolivia.
Record Type:
Electronic resources : Monograph/item
Title/Author:
The determinants of rural non-farm employment and incomes in Bolivia./
Author:
Sanchez, Valeria.
Description:
92 p.
Notes:
Source: Masters Abstracts International, Volume: 45-03, page: 1256.
Contained By:
Masters Abstracts International45-03.
Subject:
Economics, Agricultural. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1440756
The determinants of rural non-farm employment and incomes in Bolivia.
Sanchez, Valeria.
The determinants of rural non-farm employment and incomes in Bolivia.
- 92 p.
Source: Masters Abstracts International, Volume: 45-03, page: 1256.
Thesis (M.S.)--Michigan State University, 2006.
This thesis examines the factors influencing non-farm employment and income among rural households in Bolivia. Two econometric models are used to estimate the determinants of (a) participation in nonagricultural employment, (b) the determinants of the intensity of participation and (c) the income level of rural households by sector. To estimate participation and intensity of participation, a double hurdle model is applied whereas to estimate income determinants, ordinary least squares (OLS) and tobit models are implemented.Subjects--Topical Terms:
626648
Economics, Agricultural.
The determinants of rural non-farm employment and incomes in Bolivia.
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92 p.
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Source: Masters Abstracts International, Volume: 45-03, page: 1256.
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Adviser: Scott Swinton.
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Thesis (M.S.)--Michigan State University, 2006.
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This thesis examines the factors influencing non-farm employment and income among rural households in Bolivia. Two econometric models are used to estimate the determinants of (a) participation in nonagricultural employment, (b) the determinants of the intensity of participation and (c) the income level of rural households by sector. To estimate participation and intensity of participation, a double hurdle model is applied whereas to estimate income determinants, ordinary least squares (OLS) and tobit models are implemented.
520
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The results suggest that gender plays an important role in participation, intensity of participation and level of income. Women tend to focus on nonagricultural self employment activities. Education is also an important determinant in all three models especially nonagricultural wage employment and highly skilled employment. The ecoregion also influences whether a household engages in agricultural work or not. Finally, those individuals who reside in dispersed rural areas are less likely to find employment other than agricultural wage labor.
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Education must be an important component of any policy intervention, focused on training, and recognizing the heterogeneity of the ecoregions. Policy makers should also note the high share of nonagricultural wage employment in household activities.
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School code: 0128.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1440756
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