Results 111 to 120 of about 2,873,804 (259)
Spatial clustering based on geographically weighted multivariate generalized gamma regression
MethodsXGeographically Weighted Regression (GWR) is one of the local statistical models that can capture the effects of spatial heterogeneity. This model can be used for both univariate and multivariate responses.
Hasbi Yasin, Purhadi, Achmad Choiruddin
doaj +1 more source
Measuring the Contribution of Water and Green Space Amenities to Housing Values: An Application and Comparison of Spatially-weighted Hedonic Models [PDF]
This study estimates the influence of proximity to water bodies and park amenities on residential housing values in Knox County, Tennessee, using the hedonic price approach. Values for proximity to water bodies and parks are first estimated globally with
Bowker, James Michael +2 more
core
Geographically Weighted Regression Model Studentised Residuals.
, 2016 Geographically Weighted Regression Model Studentised Residuals.
Linda D. Highfield (843142) +1 more
core +1 more source
Applied Economic Perspectives and Policy, EarlyView.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
Geographically Weighted Regression Coefficient for Townsend Index.
, 2016 Geographically Weighted Regression Coefficient for Townsend Index.
Linda D. Highfield (843142) +1 more
core +1 more source
Expanded Farm Safety Net Payments Under the One Big Beautiful Bill Act
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT The One Big Beautiful Bill Act (OBBBA) strengthens the agricultural risk coverage (ARC) and price loss coverage (PLC) programs by aligning program parameters more closely with recent market dynamics and allows for an expansion in program acres. This study projects the increases in ARC‐County and PLC payments for corn, soybeans, and wheat under
Oranuch Wongpiyabovorn +5 more
wiley +1 more source
Geographically Weighted Regression Local R2’s.
, 2016 Geographically Weighted Regression Local R2’s.
Linda D. Highfield (843142) +1 more
core +1 more source
Applied Economic Perspectives and Policy, EarlyView.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
Geographically weighted regression (GWR) parameter estimate summary.
, 2016 Geographically weighted regression (GWR) parameter estimate summary.
Fu Ren (464938) +5 more
core +1 more source
Behavioral Coping With Food Price Inflation: Patterns Among U.S. Households
Applied Economic Perspectives and Policy, EarlyView.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