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Causality in econometric modeling : from theory to structural causal modeling
Mouchart, Michel; Orsi, Renzo; Wunsch, Guillaume J. - 2020
This paper examines different approaches for assessing causality as typically followed in econometrics and proposes a …
Persistent link: https://www.econbiz.de/10012170696
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Chapter 3. The Econometrics of Randomized Experiments
Athey, S.; Imbens, G.W. - 2017
In this chapter, we present econometric and statistical methods for analyzing randomized experiments. For basic experiments, we stress randomization-based inference as opposed to sampling-based inference. In randomization-based inference, uncertainty in estimates arises naturally from the random...
Persistent link: https://www.econbiz.de/10014023416
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The Determinants of Inflation
Kinlaw, William B.; Kritzman, Mark; Metcalfe, Michael; … - 2022
The authors apply a Hidden Markov Model to identify regimes of shifting inflation and then employ an attribution technique based on the Mahalanobis distance to identify the economic variables that determine the trajectory of inflation. Their analysis enables policymakers to focus on the most...
Persistent link: https://www.econbiz.de/10014030604
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Discrimination-Free Insurance Pricing
Lindholm, Mathias - 2020
A simple formula for non-discriminatory insurance pricing is introduced. This formula is based on the assumption that certain individual (discriminatory) policyholder information is not allowed to be used for insurance pricing. The suggested procedure can be summarized as follows: First, we...
Persistent link: https://www.econbiz.de/10012843876
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Causality in Econometric Modeling. From Theory to Structural Causal Modeling
Mouchart, Michel; Orsi, Renzo; Wunsch, Guillaume - 2020
This paper examines different approaches for assessing causality as typically followed in econometrics and proposes a …
Persistent link: https://www.econbiz.de/10014101593
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Causal analysis after Haavelmo
Heckman, James J.; Pinto, Rodrigo - 2013
Haavelmo's seminal 1943 paper is the first rigorous treatment of causality. In it, he distinguished the definition of … Acyclic Graphs (DAG) used in one influential recent approach to causality (Pearl, 2000) and in the related literature on … causality, a central contribution of Haavelmo (1944). In general cases, DAGs cannot be used to analyze models for simultaneous …
Persistent link: https://www.econbiz.de/10010194763
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Individual heterogeneity and average welfare
Hausman, Jerry A.; Newey, Whitney K. - 2013
Individual heterogeneity is an important source of variation in demand. Allowing for general heterogeneity is needed for correct welfare comparisons. We consider general heterogenous demand where preferences and linear budget sets are statistically independent. We find that the dimension of...
Persistent link: https://www.econbiz.de/10009773907
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Individual heterogeneity and average welfare
Hausman, Jerry A.; Newey, Whitney K. - 2014 - Rev.
Individual heterogeneity is an important source of variation in demand. Allowing for general heterogeneity is needed for correct welfare comparisons. We consider general heterogenous demand where preferences and linear budget sets are statistically independent. Only the marginal distribution of...
Persistent link: https://www.econbiz.de/10010411294
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Fama-French 1992 Redux with Robust Statistics
Green, Christopher G - 2017
Persistent link: https://www.econbiz.de/10012957028
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Econometric modeling of interdependent discrete choice with applications to market structure
Chesher, Andrew; Rosen, Adam M. - 2020
This paper demonstrates the use of bounds analysis for empirical models of market structure that allow for multiple equilibria. From an econometric standpoint, these models feature systems of equalities and inequalities for the determination of multiple endogenous interdependent discrete choice...
Persistent link: https://www.econbiz.de/10012225881