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Seasonal migration and improving living standards in Vietnam.


by de Brauw, Alan^Harigaya, Tomoko

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(1) In our sample, questions regarding individual labor supply, including migration, were answered by the individual themselves 75.3% of the time in 1997-8. When the individual themselves could not be interviewed, the household head provided responses.

(2) Both rounds of the VLSS took place over the course of a calendar year. To avoid labeling confusion, we use the year 1993 to refer to the 1992-3 survey and 1998 to refer to the 1997-8 survey.

(3) In 1998, the exchange rate was approximately 13,900 Vietnamese dong to US$1.

(4) We choose to analyze seasonal rather than long-term migration for pragmatic reasons; the survey explicitly asked household members about migration over the past twelve months, where household members were defined generally as individuals who normally live and eat their meals in this household (World Bank 2001). To include more permanent migrants in our definition, we would have had to infer additional information about individuals who were not considered household members by the survey protocol. Since we cannot discern whether migrants who were away from the household at the time of the survey will return, we may include some permanent migrants as seasonal migrants in our definition.

(5) We omit children under age five from the demographic profile because we are concerned about the endogeneity of fertility. This is consistent with our theory, as children that young do not work.

(6) Descriptive statistics for the included variables in 1993 and 1998 in Appendix table A1.

(7) As suggested by Hahn and Hausman (2002), we re-estimated the reverse of our model, using migration as the dependent variable and expenditure growth as the endogenous explanatory variable. They show that if instruments are strong, the coefficient a estimated by reverse two-stage least squares should be equal to the inverse of coefficient [beta] in equation (2). We performed the Hahn-Hausman test on our main specification (table 4) and could not reject the hypothesis that the estimate & was identical to the inverse of [??] for all IV specifications, confirming the findings from our F-tests that the instruments are strong.

(8) The land variable and value of productive assets variable proxy for the household's physical capital. We further experimented with more detailed variables describing land holdings and productive assets, and found that the estimated coefficients on the additional variables were never statistically different from zero. Therefore, here we use a parsimonious specification.

(9) Several authors have recently suggested using asset-based measures of poverty that do not share all of the flaws listed above (McKenzie 2005; Carter and Barrett 2006). Since the relationship between assets and expenditures is not straightforward and our primary focus is on explaining growth in expenditures, we perform our poverty analysis using expenditure-based measures.

Alan de Brauw is research fellow, International Food Policy Research Institute, Washington DC, and assistant professor, Department of Economics, Williams College, Williamstown, MA. Tomoko Harigaya is research assistant, Innovation for Poverty Action, New Haven, CT. Senior authorship is shared. Table 1. Selected Characteristics of Migrant Households, VLSS, 1992-1993 and 1997-1998

1992-3 1997-8 Number of migrant households 65 369 Median per capita expenditures, 1992-3 1,264 1,437 Median expenditure growth rate 7.3 5.9 Commune geography (proportion of households with migrants) Coastal 5.3% 21.3% Inland delta 2.1% 11.2% Hills/Midlands 0.5% 24.2% Low mountains 1.3% 5.6% High mountains 0.2% 2.4% Note: All descriptive statistics are conditional on migration occurring. Table 2. Characteristics of Individuals and Households in Rural Vietnam, by Migration Status, VLSS Panel A: Demographic Characteristics of Individuals in Rural Vietnam, by Migration Status

Migrants Nonmigrants Proportion male 0.705 0.453

(0.456) (0.498) Age 29.90 38.40

(11.9) (18.0) Years of education 6.81 5.87

(3.21) (3.65) Skill training? (1 = yes) 0.103 0.050

(0.304) (0.218) Married? (1 = yes) 0.488 0.620

(0.500) (0.485) Number of observations 486 10,360 Panel B: Differences between Migrant and Nonmigrant Households, Vietnam

Migrant

HHs Other HHs Mean per capita expenditures, 1993 1,693 1,736

(1,155) (976) Proportion below poverty line, 1993 0.63 0.56

(0.48) (0.50) Mean expenditure growth rate 6.3% 5.7%

(9.0%) Age of household head, 1993 44.2 45.2

(13.1) (14.9) Years of education, household head 6.39 5.50

(3.76) (3.91) Household size 5.38 5.00

(1.94) (2.14) Number of observations 353 3,139 Note: Standard deviations are in parentheses. Households characterized as "migrant households" are defined as those that increased their participation in migration between 1993 and 1998. Table 3. Effects of Observable Commune Variables on Instrument Candidates

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