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We demonstrate that regression models can be estimated by working independently in a row-wise fashion. We document a … understanding the mechanics of many common regression models. These procedures can be used to speed up the computation of estimates … computed via OLS, IV, Ridge regression, LASSO, Elastic Net, and Non-linear models including probit and logit, with all common …
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Analysts associated with the Cowles Commission attached great importance to the distinction between structural and reduced-form models: in their view structural models, but not reduced-form models, allow the analysis of causal relations. They did not present clear justification for this view....
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We apply additive mixed regression models (AMM) to estimate hedonic price equations. Non-linear effects of continuous …
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This paper assesses the role of distance in professional team sports, taking the example of football (soccer). We argue that a team's performance in terms of scored and conceded goals decreases with the distance to the foreign playing venue. To test this hypothesis empirically, we investigate...
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return to college significantly using both regression and propensity score matching (PSM) estimates. The finding suggests the …
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This paper offers two innovations for empirical growth research. First, the paper discusses principal components augmented regressions to take into account all available information in well-behaved regressions. Second, the paper proposes a frequentist model averaging framework as an alternative...
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