A unique environmental augmented household-level livelihood panel dataset from Nepal

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A unique environmental augmented household-level livelihood panel dataset from Nepal. / Walelign, Solomon Zena; Smith-Hall, Carsten; Rayamajhi, Santosh; Chhetri, Bir B.K.

In: Data in Brief, Vol. 42, 108168, 2022.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Walelign, SZ, Smith-Hall, C, Rayamajhi, S & Chhetri, BBK 2022, 'A unique environmental augmented household-level livelihood panel dataset from Nepal', Data in Brief, vol. 42, 108168. https://doi.org/10.1016/j.dib.2022.108168

APA

Walelign, S. Z., Smith-Hall, C., Rayamajhi, S., & Chhetri, B. B. K. (2022). A unique environmental augmented household-level livelihood panel dataset from Nepal. Data in Brief, 42, [108168]. https://doi.org/10.1016/j.dib.2022.108168

Vancouver

Walelign SZ, Smith-Hall C, Rayamajhi S, Chhetri BBK. A unique environmental augmented household-level livelihood panel dataset from Nepal. Data in Brief. 2022;42. 108168. https://doi.org/10.1016/j.dib.2022.108168

Author

Walelign, Solomon Zena ; Smith-Hall, Carsten ; Rayamajhi, Santosh ; Chhetri, Bir B.K. / A unique environmental augmented household-level livelihood panel dataset from Nepal. In: Data in Brief. 2022 ; Vol. 42.

Bibtex

@article{58f2b8ba6c9b4eb5b26d98d47fa95bfd,
title = "A unique environmental augmented household-level livelihood panel dataset from Nepal",
abstract = "This paper presents primary household-level panel data for the investigation of rural livelihoods dynamics in Nepal. The data is environmental augmented through the inclusion of information on environmental resource use allowing estimation of household-level environmental income. The main variables included are: household demographics (individual's age, gender, educational status, marital status), assets (livestock, implements, land, jewellery, saving, debt), income (from the environment, crop production, livestock rearing, business ownership, wage employment, remittances, and other sources), and household shock experiences (e.g., crop failure or livestock loss). Spanning the three main physiographic regions in Nepal, data was collected in the districts of Chitwan (lowland), Kaski (mid-hills), and Mustang (mountains) in 2006 (n = 507), 2009 (n = 446), and 2012 (n = 428), with households randomly sampled, using trained and monitored enumerators. The structured household survey is freely available in Larsen et al. (2014) that also provides complete data collection process details. In each study year, household income data were collected quarterly (using recall periods of 1 or 3 months, depending on the product), while asset data was collected twice (at the beginning and end of each year). Farm-gate prices were used to value products whenever possible; subsistence products were valued using substitute product prices or the opportunity cost of time (i.e., local wage labour rate). Basic distributional statistics indicated that estimated values have acceptable properties allowing their use as prices. The dataset can be reused for analyses across a range of topics (e.g. focused on forests or livestock), data types (e.g. income or asset), and temporal scales (static or selected years).",
keywords = "Assets, Dynamics, Environment, Income, Livelihoods, Panel data, Poverty, South Asia",
author = "Walelign, {Solomon Zena} and Carsten Smith-Hall and Santosh Rayamajhi and Chhetri, {Bir B.K.}",
note = "Publisher Copyright: {\textcopyright} 2022",
year = "2022",
doi = "10.1016/j.dib.2022.108168",
language = "English",
volume = "42",
journal = "Data in Brief",
issn = "2352-3409",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A unique environmental augmented household-level livelihood panel dataset from Nepal

AU - Walelign, Solomon Zena

AU - Smith-Hall, Carsten

AU - Rayamajhi, Santosh

AU - Chhetri, Bir B.K.

N1 - Publisher Copyright: © 2022

PY - 2022

Y1 - 2022

N2 - This paper presents primary household-level panel data for the investigation of rural livelihoods dynamics in Nepal. The data is environmental augmented through the inclusion of information on environmental resource use allowing estimation of household-level environmental income. The main variables included are: household demographics (individual's age, gender, educational status, marital status), assets (livestock, implements, land, jewellery, saving, debt), income (from the environment, crop production, livestock rearing, business ownership, wage employment, remittances, and other sources), and household shock experiences (e.g., crop failure or livestock loss). Spanning the three main physiographic regions in Nepal, data was collected in the districts of Chitwan (lowland), Kaski (mid-hills), and Mustang (mountains) in 2006 (n = 507), 2009 (n = 446), and 2012 (n = 428), with households randomly sampled, using trained and monitored enumerators. The structured household survey is freely available in Larsen et al. (2014) that also provides complete data collection process details. In each study year, household income data were collected quarterly (using recall periods of 1 or 3 months, depending on the product), while asset data was collected twice (at the beginning and end of each year). Farm-gate prices were used to value products whenever possible; subsistence products were valued using substitute product prices or the opportunity cost of time (i.e., local wage labour rate). Basic distributional statistics indicated that estimated values have acceptable properties allowing their use as prices. The dataset can be reused for analyses across a range of topics (e.g. focused on forests or livestock), data types (e.g. income or asset), and temporal scales (static or selected years).

AB - This paper presents primary household-level panel data for the investigation of rural livelihoods dynamics in Nepal. The data is environmental augmented through the inclusion of information on environmental resource use allowing estimation of household-level environmental income. The main variables included are: household demographics (individual's age, gender, educational status, marital status), assets (livestock, implements, land, jewellery, saving, debt), income (from the environment, crop production, livestock rearing, business ownership, wage employment, remittances, and other sources), and household shock experiences (e.g., crop failure or livestock loss). Spanning the three main physiographic regions in Nepal, data was collected in the districts of Chitwan (lowland), Kaski (mid-hills), and Mustang (mountains) in 2006 (n = 507), 2009 (n = 446), and 2012 (n = 428), with households randomly sampled, using trained and monitored enumerators. The structured household survey is freely available in Larsen et al. (2014) that also provides complete data collection process details. In each study year, household income data were collected quarterly (using recall periods of 1 or 3 months, depending on the product), while asset data was collected twice (at the beginning and end of each year). Farm-gate prices were used to value products whenever possible; subsistence products were valued using substitute product prices or the opportunity cost of time (i.e., local wage labour rate). Basic distributional statistics indicated that estimated values have acceptable properties allowing their use as prices. The dataset can be reused for analyses across a range of topics (e.g. focused on forests or livestock), data types (e.g. income or asset), and temporal scales (static or selected years).

KW - Assets

KW - Dynamics

KW - Environment

KW - Income

KW - Livelihoods

KW - Panel data

KW - Poverty

KW - South Asia

U2 - 10.1016/j.dib.2022.108168

DO - 10.1016/j.dib.2022.108168

M3 - Journal article

C2 - 35510264

AN - SCOPUS:85129457799

VL - 42

JO - Data in Brief

JF - Data in Brief

SN - 2352-3409

M1 - 108168

ER -

ID: 308108278