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What matters for environmental quality in the Next-11 countries : economic growth or income inequality?

Padhan, Hemachandra; Haouas, Ilham; Sahoo, Bhagaban; … - 2018

This study uses 1971-2013 panel data to explore the implications of growth, wealth disparities and energy consumption on carbon emissions in a sample of Next-Eleven (N-11) countries. It uses modern econometric techniques to highlight a long-run interplay between selected variables in the carbon...

Persistent link: https://www.econbiz.de/10011816704

The impact of oil revenues on the Iranian economy and the Gulf states

Dreger, Christian; Rahmani, Teymur - 2014

In line with the neoclassical growth model a persistent stream of oil revenues might have a long lasting impact on GDP per capita in oil exporting countries through higher investment activities. This relationship is explored for Iran and the countries of the Gulf Cooperation Council (GCC) using...

Persistent link: https://www.econbiz.de/10010339608

Causality and econometrics

Heckman, James J.; Pinto, Rodrigo - 2022

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...

Persistent link: https://www.econbiz.de/10012886838

Identifying program benefits when participation is misreported

Tommasi, Denni; Zhang, Lina - 2022

In cases of non-compliance with a prescribed treatment, estimates of causal effects typically rely on instrumental variables. However, when participation is also misreported, this approach can be severely biased. We provide an instrumental variable method that researchers can use to identify the...

Persistent link: https://www.econbiz.de/10013286037

Matching methods in practice : three examples

Imbens, Guido - 2014

There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical...

Persistent link: https://www.econbiz.de/10010259540

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

Education and cancer risk

Leuven, Edwin; Plug, Erik J. S.; Rønning, Marte - 2014

There exists a strong educational gradient in cancer risk, which has been documented in a wide range of populations. Yet relatively little is known about the extent to which education is causally linked to cancer incidence and mortality. This paper exploits a large social experiment where an...

Persistent link: https://www.econbiz.de/10010246659

Policy discontinuity and duration outcomes

Berg, Gerard J. van den; Bozio, Antoine; Dias, Mónica Costa - 2014

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that...

Persistent link: https://www.econbiz.de/10010403911

Robust confidence intervals for average treatment effects under limited overlap

Rothe, Christoph - 2015

Estimators of average treatment effects under unconfounded treatment assignment are known to become rather imprecise if there is limited overlap in the covariate distributions between the treatment groups. But such limited overlap can also have a detrimental effect on inference, and lead for...

Persistent link: https://www.econbiz.de/10010467806

Big data is a big deal but how much data do we need?

Askitas, Nikos - 2016

The more conservative among us believe that "Big Data is a fad that will soon fade out" and they may in fact be partially right. By contrast, others - especially those who dispassionately note that digitization is only now beginning to deliver its payload - may beg to differ. We argue that all...

Persistent link: https://www.econbiz.de/10011486497