Skip to main content
. Author manuscript; available in PMC: 2017 Aug 3.
Published in final edited form as: Am Econ Rev. 2016 Oct;106(10):3064–3103. doi: 10.1257/aer.20150020

Table 5.

Crop Yield, Growth Cycle, and Long-Term Orientation of Second-Generation Migrants

Long-Term Orientation

Either Parent Mother Father Both




(1) (2) (3) (4) (5) (6) (7) (8)
Crop Yield (Ancestors, pre-1500) 2.34*** (0.79) 2.66*** (0.96) 3.25*** (1.10) 3.62*** (1.30) 2.48** (1.00) 3.13*** (1.12) 5.12** (2.42) 5.72** (2.48)
Crop Yield Change (post-1500) 0.55 (0.63) 0.70 (0.57) 0.47 (0.75) 1.06 (0.82) 0.53 (0.91) 0.41 (0.99) 1.78 (1.32) 2.07 (1.74)
Crop Growth Cycle (Ancestors, pre-1500) −0.82 (0.98) −1.08 (1.56) −1.81 (1.42) −2.29 (2.78)
Crop Growth Cycle Change (post-1500) −0.15 (0.60) −1.11* (0.65) 0.61 (0.81) 0.02 (1.31)

Country FE Yes Yes Yes Yes Yes Yes Yes Yes
Individual Characteristics Yes Yes Yes Yes Yes Yes Yes Yes
All Geographical Controls & Neolithic Yes Yes Yes Yes Yes Yes Yes Yes
Adjusted-R2 0.06 0.06 0.05 0.05 0.06 0.06 0.04 0.04
Observations 2584 2584 1596 1596 1686 1686 568 568

Notes: The table establishes that second generation migrant’s Long-Term Orientation is positively affected by pre-1500CE crop yield in the parental country of origin. All columns account for country of birth fixed effects, individual characteristics (age, gender, education, religiosity, health status) and geographical controls from the parental country of origin (absolute latitude, mean elevation above sea level, terrain roughness, distance to coast or river, landlocked and island dummies). All independent variables have been normalized by subtracting their mean and dividing by their standard deviation. Thus, all coefficients can be compared and show the effect of a one standard deviation in the independent variable. Heteroskedasticity robust standard error estimates clustered at the parental country of origin level are reported in parentheses;

***

denotes statistical significance at the 1% level,

**

at the 5% level, and

*

at the 10% level, all for two-sided hypothesis tests.