version of the model studied in Bonhomme et al. (2022). We show that inference is possible in this setting using a … cluster. Our approach shares similarities with methods from the double machine learning literature, as the underlying moment …

an ad-hoc manner and the double machine-learning approach that employs data-driven methods to select controls from a much … wider set of variables. Overall, the E7findings based on the preferable double machine-learning approach differ across the … stunting) used in the analysis. Double machine-learning estimates for the Republic of Congo suggest that height-for-age Z …