Sinossi
Income and saving are important variables in the theory of economic growth. Several studies have been conducted to asses saving behavior. These studies differ from each other in terms of both the method of estimation and the set of data used. Some studies have used cross-country data; some have utilized single country time series data while some other have used micro data obtained from household income and expenditure surveys. Most of these studies involve method of the ordinary least square (OLS) to examine the impact of different co-factors on income, savings and expenditure pattern. In practical application, obtained data about income or saving may not be point-observation data i.e., the dependent variable has observations in intervals, e.g., the monthly saving Rs. 3,000 to 5000. In these situations, it is found that Interval Regression (IR) model is very appropriate. In this book the usage and importance of IR model in real life situation is demonstrated by applying it on real data collected through a survey in Pakistan.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
The Author having M.Phil. Statistics Degree and PGD (Computer Sciences) is expert in Data Analysis and Research Report Writing. Number of research publications are on his credit. The Author is currently attached with Allama Iqbal Open University, Islamabad (Pakistan) as a researcher.
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Modeling of Family Income & Savings Using Interval Regression
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LAP LAMBERT Academic Publishing Mrz 2013, 2013
ISBN 10: 3659347248
ISBN 13: 9783659347245
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Income and saving are important variables in the theory of economic growth. Several studies have been conducted to asses saving behavior. These studies differ from each other in terms of both the method of estimation and the set of data used. Some studies have used cross-country data; some have utilized single country time series data while some other have used micro data obtained from household income and expenditure surveys. Most of these studies involve method of the ordinary least square (OLS) to examine the impact of different co-factors on income, savings and expenditure pattern. In practical application, obtained data about income or saving may not be point-observation data i.e., the dependent variable has observations in intervals, e.g., the monthly saving Rs. 3,000 to 5000. In these situations, it is found that Interval Regression (IR) model is very appropriate. In this book the usage and importance of IR model in real life situation is demonstrated by applying it on real data collected through a survey in Pakistan. 100 pp. Englisch. Codice articolo 9783659347245
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mushtaq MuhammadThe Author having M.Phil. Statistics Degree and PGD (Computer Sciences) is expert in Data Analysis and Research Report Writing. Number of research publications are on his credit. The Author is currently attached with . Codice articolo 5150139
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Income and saving are important variables in the theory of economic growth. Several studies have been conducted to asses saving behavior. These studies differ from each other in terms of both the method of estimation and the set of data used. Some studies have used cross-country data; some have utilized single country time series data while some other have used micro data obtained from household income and expenditure surveys. Most of these studies involve method of the ordinary least square (OLS) to examine the impact of different co-factors on income, savings and expenditure pattern. In practical application, obtained data about income or saving may not be point-observation data i.e., the dependent variable has observations in intervals, e.g., the monthly saving Rs. 3,000 to 5000. In these situations, it is found that Interval Regression (IR) model is very appropriate. In this book the usage and importance of IR model in real life situation is demonstrated by applying it on real data collected through a survey in Pakistan.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. Codice articolo 9783659347245
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Income and saving are important variables in the theory of economic growth. Several studies have been conducted to asses saving behavior. These studies differ from each other in terms of both the method of estimation and the set of data used. Some studies have used cross-country data; some have utilized single country time series data while some other have used micro data obtained from household income and expenditure surveys. Most of these studies involve method of the ordinary least square (OLS) to examine the impact of different co-factors on income, savings and expenditure pattern. In practical application, obtained data about income or saving may not be point-observation data i.e., the dependent variable has observations in intervals, e.g., the monthly saving Rs. 3,000 to 5000. In these situations, it is found that Interval Regression (IR) model is very appropriate. In this book the usage and importance of IR model in real life situation is demonstrated by applying it on real data collected through a survey in Pakistan. Codice articolo 9783659347245
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Taschenbuch. Condizione: Neu. Modeling of Family Income & Savings Using Interval Regression | Muhammad Mushtaq | Taschenbuch | 100 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659347245 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106037386
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Modeling of Family Income & Savings Using Interval Regression
Editore:
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ISBN 10: 3659347248
ISBN 13: 9783659347245
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