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Identifying demand elasticity via heteroscedasticity: A panel GMM approach to estimation and inference
von Brasch, Thomas; Raknerud, Arvid; Vigtel, Trond C. - 2024
This paper introduces a panel GMM framework for identifying and estimating demand elasticities via heteroscedasticity … suffers from inconsistency, inefficiency, and lacks a valid framework for inference. We develop a constrained GMM (C-GMM … the parameter space. A Monte Carlo study demonstrates the consistency of the C-GMM estimator and shows that it …
Persistent link: https://www.econbiz.de/10015097082
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Oil dependency of the Russian economy: an econometric analysis
Benedictow, Andreas; Fjærtoft, Daniel; Løfsnæs, Ole - 2010
A macro econometric model of the Russian economy is developed, containing 13 estimated equations - covering major national account variables, government expenditures and revenues, interest rates, prices and the labour market. The model is tailored to analyze effects of changes in the oil price...
Persistent link: https://www.econbiz.de/10011968387
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Modeling R&D spillovers to productivity: The effects of tax policy
Cappelen, Ådne; Hungnes, Håvard; Skjerpen, Terje - 2020
We study the role of R&D spillovers when modelling total factor productivity (TFP) by industry. Using Norwegian industry level data, we find that for many industries there are significant spillovers from both domestic sources and from technological change at the international frontier....
Persistent link: https://www.econbiz.de/10012801075
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Climate (change) and conflict: Resolving a puzzle of association and causation
Almer, Christian; Boes, Stefan - 2012
There is an ongoing discussion especially among political scientists and economists whether and how climate variability affects civil conflicts and wars in developing countries. Given the predicted climatic changes, several studies argue that increasing temperatures or decreasing precipitation...
Persistent link: https://www.econbiz.de/10010316072
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Reconciling estimates of the long-term earnings effect of fertility
Bensnes, Simon; Huitfeldt, Ingrid; Leuven, Edwin - 2023
This paper presents novel methodological and empirical contributions to the child penalty literature. We propose a new estimator that combines elements from standard event study and instrumental variable estimators and demonstrate their relatedness. Our analysis shows that all three approaches...
Persistent link: https://www.econbiz.de/10014550252
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Convergence of the risk for nonparametric IV quantile regression and nonparametric IV regression with full independence
Dunker, Fabian - 2015
In econometrics some nonparametric instrumental regression models and nonparametric demand models with endogeneity lead to nonlinear integral equations with unknown integral kernels. We prove convergence rates of the risk for the iteratively regularized Newton method applied to these problems....
Persistent link: https://www.econbiz.de/10011411755
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A two-stage pooled panel data estimator of demand elasticities
Raknerud, Arvid - 2021
In a seminal paper, Feenstra (1994) developed an instrumental variable estimator which is becoming increasingly popular for estimating demand elasticities. Soderbery (2015) extended this estimator and created a routine which was shown to be more robust to data outliers when the number of time...
Persistent link: https://www.econbiz.de/10012801099
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Who gets a mammogram amongst European women aged 50-69 years and why are there such large differences across European countries?
Wübker, Ansgar - 2011
On the basis of the Survey of Health, Ageing, and Retirement (SHARE), we analyse the determinants of who engages in mammography screening focusing on European women aged 50-69 years. A special emphasis is put on the measurement error of subjective life expectancy and on the measurement and...
Persistent link: https://www.econbiz.de/10010306566
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A comparison of two qantile models with endogeneity
Wüthrich, Kaspar - 2014
This paper analyzes estimators based on the instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2004, 2005, 2006) under the local quantile treatment effects (LQTE) framework (Abadie et al., 2002). I show that the quantile treatment effect (QTE) estimators in the IVQR...
Persistent link: https://www.econbiz.de/10011420621
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Semiparametric estimation of quantile treatment effects with endogeneity
Wüthrich, Kaspar - 2015
This paper studies estimation of conditional and unconditional quantile treatment effects based on the instrumental variable quantile regression (IVQR) model (Chernozhukov and Hansen, 2004, 2005, 2006). I introduce a class of semiparametric plug-in estimators based on closed form solutions...
Persistent link: https://www.econbiz.de/10011420629