Selection Bias and Econometric Remedies in Accounting and Finance Research [PDF]
Jennifer Wu Tucker
openalex
Hotspots, trends, and regional focus on oil or gas exploration: A bibliometric comparative study
This paper explores the research trends in global oil and gas exploration through the bibliometric analysis of 3460 articles collected from the Web of Science database on oil and gas exploration published from 2013 to 2023. The research hotspots, objects, regional distribution, methods, and evaluation methods of oil and gas exploration are analyzed and
Jihong Wang +3 more
wiley +1 more source
marlod: an R package to model environmental exposure and biomonitoring data with repeated measurements and values below the limit of detection. [PDF]
Chen IC.
europepmc +1 more source
ABSTRACT Over the past decade, the concept of “instrument constituency” has been proposed as a way in which to bridge studies on policy networks and policy instruments. This concept focuses on policy networks composed of diverse actors who are brought together by the shared goal of promoting a specific instrument.
Noémie Morize
wiley +1 more source
The impact of green technology innovation on carbon emission reduction capacity in China: Based on spatial econometrics and threshold effect analysis. [PDF]
Wei W, Ma Y.
europepmc +1 more source
Are Forward Exchange Rates Rational Forecasts of Future Spot Rates? An Improved Econometric Analysis for the Major Currencies [PDF]
Raj Aggarwal +2 more
openalex
The study analyzes barriers to electric vehicle growth in India using DEMATEL and ANP. It distinguishes cause‐and‐effect barriers and ranks them. Major barriers include poor charging infrastructure and high costs. ABSTRACT This study employs a hybrid technique based on the Decision‐Making Trial Evaluation Laboratory (DEMATEL), Analytic Network Process (
Sanjeev Kumar +6 more
wiley +1 more source
The impact of tax accounting and planning on earnings management: Evidence from panel ARDL approach. [PDF]
Gündüz M.
europepmc +1 more source
Threshold MIDAS Forecasting of Canadian Inflation Rate
ABSTRACT We propose several threshold mixed data sampling (TMIDAS) autoregressive models to forecast the Canadian inflation rate using predictors observed at different frequencies. These models take two low‐frequency variables and a high‐frequency index as threshold variables.
Chaoyi Chen, Yiguo Sun, Yao Rao
wiley +1 more source
OpenClustered: an R package with a benchmark suite of clustered datasets for methodological evaluation and comparison. [PDF]
O'Connell NS, Speiser JL.
europepmc +1 more source

