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Search: subject:"Local Polynomial Regressions"
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local polynomial regressions
7
EMU
6
core-periphery
6
synchronicity
6
Regression analysis
5
Regressionsanalyse
5
Business cycle
4
Business cycle synchronization
4
Business cycles
4
Centre-periphery relations
4
EU countries
4
EU-Staaten
4
Economic convergence
4
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4
Eurozone
4
Konjunktur
4
Konjunkturzusammenhang
4
Optimaler Währungsraum
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Optimum currency area
4
Periphere Region
4
Periphery
4
Schock
4
Shock
4
Time series analysis
4
Wirtschaftliche Konvergenz
4
Zeitreihenanalyse
4
Zentrum-Peripherie-Beziehungen
4
business cycles
3
Estimation theory
2
Kleinste-Quadrate-Methode
2
Land Values
2
Least squares method
2
Local Polynomial Regressions
2
Nichtparametrisches Verfahren
2
Nonparametric statistics
2
Schätztheorie
2
Semi-Parametric Estimation
2
common monetary policy
2
Balanced Panel
1
Core-periphery
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Belke, Ansgar
7
Domnick, Clemens
7
Gros, Daniel
7
Clapp, John M.
3
Cohen, Jeffrey P.
3
Coughlin, Cletus Charles
2
Coughlin, Cletus C.
1
Yanagi, Takahide
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Federal Reserve Bank of St. Louis
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The journal of real estate finance and economics
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ECONIS (ZBW)
6
EconStor
3
RePEc
2
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1
Business Cycle Synchronization in the EMU: Core vs. Periphery
Belke, Ansgar
;
Domnick, Clemens
;
Gros, Daniel
-
2017
among themselves. Correlation coefficients and nonparametric
local
polynomial
regressions
corroborate these findings. The …
Persistent link: https://www.econbiz.de/10011622223
Saved in:
2
Business cycle synchronization in the EMU : core vs. periphery
Belke, Ansgar
;
Domnick, Clemens
;
Gros, Daniel
-
2017
among themselves. Correlation coefficients and nonparametric
local
polynomial
regressions
corroborate these findings. The …
Persistent link: https://www.econbiz.de/10012111060
Saved in:
3
Business cycle synchronization in the EMU: Core vs. periphery
Belke, Ansgar
;
Domnick, Clemens
;
Gros, Daniel
-
2016
among themselves. Correlation coefficients and nonparametric
local
polynomial
regressions
corroborate these findings. The …
Persistent link: https://www.econbiz.de/10011572139
Saved in:
4
Business cycle synchronization in the EMU: Core vs. periphery
Belke, Ansgar
;
Domnick, Clemens
;
Gros, Daniel
-
2016
among themselves. Correlation coefficients and nonparametric
local
polynomial
regressions
corroborate these findings. The …
Persistent link: https://www.econbiz.de/10011622973
Saved in:
5
Business cycle synchronization in the EMU : core vs. periphery
Belke, Ansgar
;
Domnick, Clemens
;
Gros, Daniel
-
2016
among themselves. Correlation coefficients and nonparametric
local
polynomial
regressions
corroborate these findings. The …
Persistent link: https://www.econbiz.de/10011570812
Saved in:
6
Business cycle synchronization in the EMU : core vs. periphery
Belke, Ansgar
;
Domnick, Clemens
;
Gros, Daniel
-
2016
among themselves. Correlation coefficients and nonparametric
local
polynomial
regressions
corroborate these findings. The …
Persistent link: https://www.econbiz.de/10011582248
Saved in:
7
Local
polynomial
regressions
versus OLS for generating location value estimates : which is more efficient in out-of-sample forecasts?
Cohen, Jeffrey P.
;
Coughlin, Cletus Charles
;
Clapp, John M.
-
2015
Persistent link: https://www.econbiz.de/10011346780
Saved in:
8
Semi-Parametric Interpolations of Residential Location Values: Using Housing Price Data to Generate Balanced Panels
Coughlin, Cletus C.
;
Cohen, Jeffrey P.
;
Clapp, John M.
-
Federal Reserve Bank of St. Louis
-
2014
We estimate location values for single family houses by
local
polynomial
regressions
(LPR), a semi-parametric procedure …
Persistent link: https://www.econbiz.de/10011097401
Saved in:
9
The Effect of Measurement Error in the Sharp Regression Discontinuity Design
Yanagi, Takahide
-
Institute of Economic Research, Kyoto University
-
2014
approximates the average treatment effect based on
local
polynomial
regressions
and the kernel density estimation. Monte Carlo …
Persistent link: https://www.econbiz.de/10011098361
Saved in:
10
Local
polynomial
regressions
versus OLS for generating location value estimates
Cohen, Jeffrey P.
;
Coughlin, Cletus Charles
;
Clapp, John M.
- In:
The journal of real estate finance and economics
54
(
2017
)
3
,
pp. 365-385
Persistent link: https://www.econbiz.de/10011797626
Saved in:
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