Arbeitspapier

Farm wage and rice price dynamics in Bangladesh

Concepts explaining the wage-price nexus in Bangladesh are diverse and conflicting. A proper understanding of the relationship between food prices and rural wages is essential for planning policies in support of the rural poor. In exploring the link between food prices and rising agricultural wages, this study analyzes the dynamic relations between those two by using monthly data from 1994 to 2014. A standard vector error correction model (VECM) is implemented to determine the short-run and long-run relationships between wages and food prices in eight divisions in Bangladesh. In addition, we use autoregressive distributed lag (ARDL) models to estimate the pass-through coefficients and to compare the short-run effects of rice price and urban wage shocks on agricultural wages. We find statistical evidence for a structural break between January 2007 and January 2009 in the relationships of the variables in all divisions. After the structural break, in six out of eight divisions, any shock in rice prices does not transmit to the farm wages in the short-run. Moreover, our findings show that in the long-run food prices have become less influential in explaining the changes in rural wages while the influence of urban wages has become stronger in some divisions.

Sprache
Englisch

Erschienen in
Series: ZEF Discussion Papers on Development Policy ; No. 273

Klassifikation
Wirtschaft
Agriculture: Aggregate Supply and Demand Analysis; Prices
Labor Force and Employment, Size, and Structure
Wage Level and Structure; Wage Differentials
Thema
Agricultural Wages
Lewis Transformation
Rural labor markets
Bangladesh

Ereignis
Geistige Schöpfung
(wer)
Hassan, Md. Fuad
Kornher, Lukas
Ereignis
Veröffentlichung
(wer)
University of Bonn, Center for Development Research (ZEF)
(wo)
Bonn
(wann)
2019

Handle
Letzte Aktualisierung
10.03.2025, 11:46 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Hassan, Md. Fuad
  • Kornher, Lukas
  • University of Bonn, Center for Development Research (ZEF)

Entstanden

  • 2019

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