Publication
Controlling omitted variables and measurement errors by means of constrained autoregression and structural equation modeling: Theory, simulations and application tomeasuring household preference forin-house piped water in Indonesia
Suparman, Y., 2015, [Groningen]: University of Groningen. 161 p.Research output: Thesis › Thesis fully internal (DIV) › Academic

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- Title_and_contents_
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- List_of_Table_
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- Acknowledgement
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- Abstract
Final publisher's version, 138 KB, PDF-document
- Chapter_1
Final publisher's version, 239 KB, PDF-document
- Chapter_2
Final publisher's version, 305 KB, PDF-document
- Chapter_3
Final publisher's version, 298 KB, PDF-document
- Chapter_4
Final publisher's version, 219 KB, PDF-document
- Chapter_5
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- Chapter_6
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- Samenvatting
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- About_Author
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- Complete_dissertation
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- Propositions
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From the first objective I found that ASEM performs well in controlling both omitted variables and measurement errors and both should be controlled simultaneously as done by ASEM. From the second objective I found that CAR constrained autoregression outperforms the alternative omitted variables correction procedures in terms of bias and mean square errors. From the third objective, I found that CAR is an acceptable vehicle to control for time-varying omitted variables. From the fourth objective, I found that on average urban and rural households have the same willingness to pay for in-house piped water i.e. 34.24% of their monthly house rent. The findings support a need for further investment in in-house piped water in both areas, particularly for the households with the lowest expenditure levels.
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution | |
Supervisors/Advisors |
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Award date | 24-Sep-2015 |
Place of Publication | [Groningen] |
Publisher | |
Print ISBNs | 978-90-367-7995-1 |
Electronic ISBNs | 978-90-367-7994-4 |
Publication status | Published - 2015 |
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