An innovative method to determine the stress-dependency of Poisson's ratio of granitic rocks. [PDF]
Sci RepNarimani S, Kovács L, Vásárhelyi B.
europepmc +1 more source
Manipulation Test for Multidimensional RDD
Journal of Applied Econometrics, EarlyView.ABSTRACT The causal inference model for the regression discontinuity design (RDD) relies on assumptions that imply the continuity of the density of the assignment (running) variable. The test for this implication is commonly referred to as the manipulation test and is regularly reported in applied research to strengthen the design's validity.
Federico Crippa
wiley +1 more source
Chaos control and sensitivity analysis of climate change under green gases and carbon omission utilizing caputo fractional operator. [PDF]
Sci RepAhmad A +5 more
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A Local Projections Approach to Difference‐in‐Differences
Journal of Applied Econometrics, EarlyView.ABSTRACT We propose a local projections (LPs)‐based difference‐in‐differences (DiD) approach that subsumes many of the recent solutions proposed in the literature to address possible biases arising from negative weighting. We combine LPs with a flexible “clean control” condition to define appropriate sets of treated and control units.
Arindrajit Dube +3 more
wiley +1 more source
International Conference Mathematical Methods in Economics (MME 2019) [PDF]
Statistika: Statistics and Economy Journal, 2020 Petra Zýková, Josef Jablonský
doaj
Wonder drugs and where to use them: a forecast of ivermectin's impact on malaria in Africa. [PDF]
Infect Dis ModelGreenhalgh S, Roman A, Provencher A.
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MATHEMATICAL METHODS IN ECONOMICS
The article discusses the issues of research and study of a mathematical model, obtaining a solution and practical application of the results obtained on the basis of this model.
openaire +1 more source
Difference‐in‐Difference Causal Forests With an Application to Payroll Tax Incidence in Norway
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper introduces the difference‐in‐difference causal forest (DiDCF) method, which extends the causal‐forest technique for estimating heterogeneous treatment effects to settings with dynamic treatment effects. Regular causal forests require independence between treatment assignment and the outcome variable (after conditioning out ...
Evelina Gavrilova +2 more
wiley +1 more source
Mathematical Methods in Economics (MME 2020) International Conference [PDF]
Statistika: Statistics and Economy Journal, 2020 Petra Zýková, Josef Jablonský
doaj
Mathematical Methods Applied to the Problem of Dairy Cow Replacements: A Scoping Review. [PDF]
Animals (Basel)Palma O +3 more
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