This file was generated on 2024-03-12 by MD. SOHEL RANA


A GENERAL INFORMATION

1. Title of the dataset: Migration study in northern rural Bangladesh

2. Brief description of the research project and its aims:
Temporary seasonal migration of the rural poor is often overlooked in national policies.
Existing studies suggest that temporary migration is less effective than longer-term or permanent migration in reducing poverty,
yet it remains the predominant form of migration in poor agrarian economies. Moreover, migration is commonly perceived as a 
rural-to-urban move, yet many temporary out-migrants from rural areas in Bangladesh, Myanmar, and India prefer other rural destinations
instead. This raises two questions: first, why do rural poor prefer temporary migration over longer-term migration, and second,
why do many temporary migrants prefer other rural destinations rather than urban. My PhD research at the
Center for Development Research (ZEF), University of Bonn, addresses these questions with household survey data collected from
northern rural Bangladesh, where temporary migration is prevalent.    

3. Author Information
	A. Investigator Contact Information
		Name: Md. Sohel Rana
		Institution: Center for Development Research (ZEF)
		Address: Genscherallee 3, 53113 Bonn
		Email: srana@uni-bonn.de 

	B. Project Supervisor (Principal Investigator) Contact Information
		Name: Prof. Dr. Matin Qaim
		Institution: Center for Development Research (ZEF)
		Address: Genscherallee 3, 53113 Bonn
		Email: mqaim@uni-bonn.de 

	C. In case of questions related to this dataset, please contact:
		Name: Md. Sohel Rana
		Institution: Center for Development Research (ZEF)
		Address: Genscherallee 3, 53113 Bonn
		Email: srana@uni-bonn.de 

4. Date of data collection: 2023-06-21 to 2023-08-31

5. Information about funding sources that supported the collection of the data: Foundation Fiat Panis and the German Academic Exchange Service (DAAD)

6. Language of the dataset: English

7. Geographic location of data collection: 30 villages from Dinajpur and Kurigram Districts of Rangpur Division, Bangladesh.  



B DATA & FILE OVERVIEW

1. File List: Only one (01) file, the mother version. 

2. Are there multiple versions of the dataset? No
	
3. Relationship between files: N/A

4. Additional related data collected that was not included in the current data package: N/A



C SHARING/ACCESS INFORMATION

1. Was data derived from another source? No 

2. Licenses/restrictions placed on the data: No

3. Links to publications that cite or use the data: https://doi.org/10.1111/agec.70030 

4. Links to other publicly accessible locations of the data: N/A

5. Links/relationships to ancillary datasets: N/A



D METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
We employed a multi-stage sampling approach to select study regions/divisions, districts, villages, and respondent households in Bangladesh.
In the first stage, we purposively selected Rangpur Division of Bangladesh, where temporary migration is prevalent. There are eight districts
in Rangpur division. Among them, in the second stage, we purposively selected two districts, Dinajpur and Kurigram, based on the proportion
of agricultural labor-dependent households that are more prone to temporary migration. There are 1,872 villages in Kurigram and 2,131 villages
in Dinajpur. In the third stage, we selected villages from these districts following a stratified random sampling approach. We randomly
selected 16 villages from Dinajpur and 14 from Kurigram. We collected household lists for these villages from the respective local government
(locally known as, union parishad) offices. From these lists, we randomly selected survey participant households. Power calculations with a
99% confidence level and a 5% margin of error suggested to survey a minimum of 612 households. To be on the safe side, we randomly selected
10% of households in each of the 30 selected villages, along with some additional replacement households in case of non-responses or missing data.
We surveyed a total of 878 households, including 10-14% of households from each village. The survey was administered with the household head,
who is often the migrant member. The food consumption module was administered often with the spouse of the head, who knows better about the
household's food consumption. The survey questionnaires was programmed on SurveyCTO (paid ersion) and conducted by locally hired
enumerators from Rangpur.   

2. Methods for processing the data: From the SurveyCTO server, we downloaded .dta file. Using Stata, we manually removed test observations
that were recorded and submitted during the enumerators training. Also, we removed some variables (e.g., names, sex, and education)
to ensure anonymity of the dataset.  

3. Instrument- and/or software-specific information needed to interpret the data: This dataset is generated on Stata v.17.0. 

4. People involved in sample collection, processing, analysis and/or submission: Md. Nur Alam, as the survey supervisor. There were nine
(09) enumerators who conducted the survey: Masiur Rahman, Habibur Rahman, Ripon Mia, Emon Hosen, Lingcon Roy, Rayhan Ali, Rajifar Nur,
Sweety Rany Sarkar, and Rasel Rana. All of them were M.Sc. students in the local university in Rangpur, and they were hired to conduct
this survey on daily wage-basis. 
  

5. Describe any quality-assurance procedures performed on the data: No

6. Standards and calibration information: No

7. Environmental/experimental conditions: No



E DATA-SPECIFIC INFORMATION FOR: [Migration_HH_Study_MSR]

1. Variable list including full names and definitions of column headings for tabular data: 
Most of the variables are self-explanatory in Stata. However, the codebook is attached as a CSV file, titled "Migration_HH_Study_MSR_codebook_vars.csv".
This codebook includes variable name, definition/description, units and value labels. 
The "Type" column in this file includes type of choices for each variable. For example, "select_one yesno" indicates that this variable took only
one choice from a list of "yesno" options. The list of choice options are available in file "Migration_HH_Study_MSR_codebook_choicelists.csv".   

2. Units of measurement used: 
- Wage and income data are recorded in Bangladesh Taka (BDT).
- Land amount is recorded in decimals, where 1 acre= 100 decimals. 
- Likert scale, 1-10; 1 means the worst/very difficult, 5 means average and 10 the best/very easy. 
- Food consumption: Number of days in a week the household consumed certain food item. 
- Please refer to "Migration_HH_Study_MSR_codebook_vars" for other units of measurement.

3. Missing data codes/symbols: Missing data= .

4. Specialized formats or other abbreviations used: 
hh=	Household;
M= 	Migration;
TM= 	Temporary migration;
ltm= 	Longer-term migration;
pcal=	Per capita agricultural landholdings;
pcl=	Per capita landholdings;
FCS=	Food consumption score (based on WFP, 2009);
PCS=	Protein consumption score (own constructed based on WFP, 2009);
TPS= 	Temporary protein shortfall= Average consumption of protein (meat, fish, egg, milk/dairy, and pulses/legumes) in the
	village during normal period (-) household's consumption of protein during lean period.