Results 41 to 50 of about 2,700 (200)
This repository contains the R codes for performing the proposed test and estimation methods in the simulation study in paper entitled "Estimation and inference of special types of the coefficients in geographically and temporally weighted regression ...
Zhi Zhang (8596686)
core +1 more source
Keeping Pace or Falling Behind? The Depth of Latin American Trade Agreements
ABSTRACT This article examines whether Latin American countries are keeping pace with global trends in trade agreement depth or falling behind. Using 681 agreements (1970–2019), we develop the Depth Index of Trade Agreements (DITA) to weight provisions endogenously through factor analysis based on co‐occurrence patterns.
Raphael Gomes da Silva +2 more
wiley +1 more source
ABSTRAK Geographically and Temporally Weighted Regression (GTWR) merupakan metode pengembangan dari Geographically Weighted Regression yang mengakomodasi adanya heterogenitas secara spatial (lokasi) dan secara temporal (waktu).
Jannah, Hisbiyatul
core
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley +1 more source
ABSTRACT Rational actors constantly incorporate information into their decision‐making behavior. Since there is often a time lag between the announcement of a policy and its implementation, an important question arises: when do rational actors incorporate new information into their market behavior, at the announcement or at the implementation of a ...
Tim Ölkers, Oliver Mußhoff
wiley +1 more source
Estimating ground level NO2 concentrations over central-eastern China using a satellite-based geographically and temporally weighted regression model [PDF]
People in central-eastern China are suffering from severe air pollution of nitrogen oxides. Top-down approaches have been widely applied to estimate the ground concentrations of NO2 based on satellite data.
Lanlan Rao +15 more
core +1 more source
Behavioral Coping With Food Price Inflation: Patterns Among U.S. Households
ABSTRACT Recent food price inflation has placed substantial pressure on household budgets, food security, and mental well‐being. Using Household Pulse Survey data, we combine k‐modes clustering and Double Machine Learning to identify distinct household coping groups and examine differences in how households respond to rising food prices across groups ...
Yuxiang Zhang, Yizao Liu
wiley +1 more source
Food Tastes in the United States: Convergence or Divergence?
ABSTRACT This study investigates how food consumption tastes have changed in recent decades across the United States. Using NielsenIQ data for over 77 million transactions, there is evidence of divergence in food tastes across regions from 2007 to 2016 and across households of different income, education, and race/ethnicity groups.
Michael DeDad
wiley +1 more source
ABSTRACT Drought is among the most severe and persistent threats to food supply chains, and relocating production to less drought‐prone regions offers a strategy to reduce this risk. This is particularly relevant for fresh vegetables, which are highly water‐intensive, yet drought‐driven reconfiguration strategies remain understudied.
Bingyan Dai +2 more
wiley +1 more source
ABSTRAK Geographically and Temporally Weighted Regression (GTWR) merupakan metode pengembangan dari Geographically Weighted Regression yang mengakomodasi adanya heterogenitas secara spatial (lokasi) dan secara temporal (waktu).
Sari, Agustiningsih Indah
core

