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Instrumental variables quantile regression
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Instrumental variables quantile regression
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Journal Article
Demography (2021) 58 (2): 551–570.
Published: 01 April 2021
... in the returns to schooling: Instrumental variables quantile regression using twins data . In Fitzenberger B. , Koenker R. , & Machado J. A. F. (Eds.), Economic applications of quantile regression (pp. 7 – 40 ). Heidelberg, Germany : Physica-Verlag Heidelberg . Arulampalam W...
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Journal Article
Demography (2014) 51 (4): 1225–1249.
Published: 01 July 2014
... variables (IV) quantile regression. Our instrument is based on a schooling reform, which not only raised the mandatory education-leaving age but also introduced some major qualitative changes to compulsory schooling. Finally, we propose a framework in which we allow education to play an indirect role on BMI...
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Journal Article
Demography (2022) 59 (4): 1431–1457.
Published: 01 August 2022
... in this variable is limited because most parents hope that their children will attend college. Table 7 Multivariate logistic regressions of ethnic identification (with additional covariates): China Family Panel Studies Dependent Variable: Minority Identification Independent Variable Model...
Includes: Supplementary data
Journal Article
Demography (2015) 52 (2): 401–432.
Published: 07 March 2015
.... We estimate a conditional quantile regression, which estimates the median from the conditional distribution of the dependent variable, or among respondents who have the same values on the independent variables. The conditional quantile is inappropriate for answering research questions about...
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Journal Article
Demography (2016) 53 (2): 541–566.
Published: 01 March 2016
... can be estimated for each group after stratifying the predicted values into quantiles. This procedure thus creates an index of predicted outcomes by using all the relevant covariates instead of interacting each one with the treatment dummy variable. Abadie et al. ( 2013 ), however, showed that the OLS...
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Journal Article
Demography (2022) 59 (4): 1249–1274.
Published: 01 August 2022
... is a set of focal explanatory variables capturing the accumulated number of past moves, and X is a vector of control variables. The β s are (vectors of) model coefficients; ɛ is the usual stochastic regression error term; and γ w and ϑ s are wave and state fixed effects, which help mitigate...
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Journal Article
Demography (2019) 56 (6): 2229–2252.
Published: 22 November 2019
... about how native workers should be partitioned and the relationships between groups, we take advantage of the recentered influence function regression (RIF; Firpo et al. 2009 ) to estimate how low- and high-skilled immigrants may shape various wage quantiles. The logic of the RIF function is based...
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Journal Article
Demography (2009) 46 (2): 281–301.
Published: 01 May 2009
... in test scores among right-, left-, and mixed-handed children are caused by handedness and not by confounding variables. Furthermore, the apparent exogeneity of handedness points to the potential use of handedness as an instrument in empirical applications. What Are the Distributional Effects...
Journal Article
Demography (2016) 53 (1): 27–53.
Published: 10 December 2015
... an instrumental variables approach, common in the immigration literature, which relies on the propensity of new entrants to locate in areas with high historical concentrations of immigrants from the same country of origin (Bartel 1989 ; Card 2001 ). Using 1980–2000 U.S. Census data on U.S.-born college...
Journal Article
Demography (2017) 54 (3): 835–859.
Published: 08 May 2017
... of children, we instrument family size with the gender of the first child, which is plausibly random. Given a strong son preference in India, parents tend to have more children if the firstborn is a girl. Our instrumental variable results show that children from larger families have lower educational...
Includes: Supplementary data
Journal Article
Demography (2014) 51 (2): 673–698.
Published: 21 December 2013
... Russell , S. S. ( 1992 ). Migrants’ remittances and development . International Migration , 30 , 267 – 287 . Staiger , D. , & Stock , J. H. ( 1997 ). Instrumental variables regression with weak instruments . Econometrica , 65 , 557 – 586 . 10.2307/2171753 Stark , O...
Journal Article
Demography (2019) 56 (2): 595–619.
Published: 13 March 2019
... with respect to their parents’ generation, which may explain the substantially decreasing correlations for both men and women. However, correlation measures the intensity of the relationship between two variables without assuming a direction of causality. In our case, regressions are more suitable because...
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Journal Article
Demography (2014) 51 (5): 1755–1773.
Published: 03 October 2014
... in the long run. Using individual-level data from several surveys, Ettner ( 1996 ) documented that increases in income significantly improve mental and physical health, based on both ordinary and instrumental variables (IV) estimates. Brenner ( 2005 ) suggested that economic growth not only reduces poverty...
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Journal Article
Demography (2024) 61 (2): 363–392.
Published: 01 April 2024
.... , & Koellinger P. D. ( 2018 ). Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data . Proceedings of the National Academy of Sciences , 115 , E4970 – E4979 . https://doi.org/10.1073/pnas.1707388115 Domingue B. W. , Trejo S...
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Journal Article
Demography (2018) 55 (5): 1905–1934.
Published: 20 August 2018
... mortality than for infant mortality and only with an instrumental variable specification (i.e., whether elections were close). Quamruzzaman and Lange’s ( 2016 ) analysis of DHS data for 52 countries found negative associations of women’s representation on infant mortality, as did Homan’s ( 2017 ) study...
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