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Treatment evaluation with multiple outcome periods under endogeneity and attrition
Frölich, Markus; Huber, Martin - 2014
endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate …
Persistent link: https://www.econbiz.de/10010249397
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Endogeneity and non-response bias in treatment evaluation : nonparametric identification of causal effects by instruments
Fricke, Hans; Frölich, Markus; Huber, Martin; Lechner, … - 2015
endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the …
Persistent link: https://www.econbiz.de/10011348296
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Treatment evaluation with multiple outcome periods under endogeneity and attrition
Frölich, Markus; Huber, Martin - 2014
Persistent link: https://www.econbiz.de/10010242778
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Spillovers from mass advertising : an identification strategy
Thomas, Michael - In: Marketing science : the marketing journal of the … 39 (2020) 4, pp. 807-826
Persistent link: https://www.econbiz.de/10012294609
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Testing exogeneity under distributional misspecification
de Luna, Xavier; Johansson, Per - 2001
We propose a general test for exogeneity that is robust against distributional misspecification. The test can also be used to identify other types of misspecifications, such as the presence of a random coefficient. The idea is to sort the data with respect to a variable (a sorting score) and...
Persistent link: https://www.econbiz.de/10010321023
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Testing exogeneity under distributional misspecification
DeLuna, Xavier; Johansson, Per-Olov - 2001
We propose a general test for exogeneity that is robust against distributional misspecification. The test can also be used to identify other types of misspecifications, such as the presence of a random coefficient. The idea is to sort the data with respect to a variable (a sorting score) and...
Persistent link: https://www.econbiz.de/10011571651
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Testing exogeneity under distributional misspecification
de Luna, Xavier; Johansson, Per - Institutet för Arbetsmarknads- och Utbildningspolitisk … - 2001
We propose a general test for exogeneity that is robust against distributional misspecification. The test can also be used to identify other types of misspecifications, such as the presence of a random coefficient. The idea is to sort the data with respect to a variable (a sorting score) and...
Persistent link: https://www.econbiz.de/10005207254
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Identification-robust inference for endogeneity parameters in linear structural models
Doko Tchatoka, Firmin; Dufour, Jean-Marie - School of Economics and Finance, Tasmanian School of … - 2012
dependence between possibly endogenous explanatory variables and disturbances in a linear structural equation (endogeneity … parameters). We focus on second-order dependence and stress the distinction between regression and covariance endogeneity … with least-squares methods). We observe that endogeneity parameters may not identifiable and we give the relevant …
Persistent link: https://www.econbiz.de/10010835571
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Identification-robust inference for endogeneity parameters in linear structural models
Tchatoka, Firmin Doko; Dufour, Jean-Marie - Centre Interuniversitaire de Recherche en Analyse des … - 2014
dependence between possibly endogenous explanatory variables and disturbances in a linear structural equation (endogeneity … parameters). We focus on second-order dependence and stress the distinction between regression and covariance endogeneity … least-square methods). We observe that endogeneity parameters may not be identifiable and we give the relevant …
Persistent link: https://www.econbiz.de/10011183777
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Identification-robust inference for endogeneity parameters in linear structural models
Doko Tchatoka, Firmin; Dufour, Jean-Marie - Volkswirtschaftliche Fakultät, … - 2012
dependence between possibly endogenous explanatory variables and disturbances in a linear structural equation (endogeneity … parameters). We focus on second-order dependence and stress the distinction between regression and covariance endogeneity … with least-squares methods). We observe that endogeneity parameters may not be identifiable and we give the relevant …
Persistent link: https://www.econbiz.de/10011107877