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Determinants of Household Saving: A Case Study of Kabul Afghanistan

Determinants of Household Saving: A Case Study of Kabul Afghanistanvon Niamatullah Hayat Sie sparen 16% des UVP sparen 16%
Über Determinants of Household Saving: A Case Study of Kabul Afghanistan

Household saving is a source of investment and is regarded as a key factor in economic growth. This book is an effort to examine the determinants of household saving in Kabul, Afghanistan. Several economic and socio-demographic factors that affect household saving have been completely examined in this study. The data was collected through a well-structured questionnaire from 384 households. Through stratified random sampling, 384 household¿s heads were interviewed. For statistical investigation author applied Diagnostic test and Generalized Least Square methods to his model. It is observed from the estimated result of this study that income is a major and most important determinant of household saving which positively affects the saving of a household. Further, results also reveal that household size has negative and significant relationship with household saving. The educational level of the household head shows a negative impact on household saving. The results further indicate that married household head and male household head are likely to save more as compared to unmarried household head and female household head respectively.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786206790204
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 52
  • Veröffentlicht:
  • 16. Oktober 2023
  • Abmessungen:
  • 150x4x220 mm.
  • Gewicht:
  • 96 g.
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Beschreibung von Determinants of Household Saving: A Case Study of Kabul Afghanistan

Household saving is a source of investment and is regarded as a key factor in economic growth. This book is an effort to examine the determinants of household saving in Kabul, Afghanistan. Several economic and socio-demographic factors that affect household saving have been completely examined in this study. The data was collected through a well-structured questionnaire from 384 households. Through stratified random sampling, 384 household¿s heads were interviewed. For statistical investigation author applied Diagnostic test and Generalized Least Square methods to his model. It is observed from the estimated result of this study that income is a major and most important determinant of household saving which positively affects the saving of a household. Further, results also reveal that household size has negative and significant relationship with household saving. The educational level of the household head shows a negative impact on household saving. The results further indicate that married household head and male household head are likely to save more as compared to unmarried household head and female household head respectively.

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