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Search: subject:"local polynomial regressions"
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local polynomial regressions
7
EMU
6
core-periphery
6
synchronicity
6
Business cycle
3
Business cycle synchronization
3
Business cycles
3
Centre-periphery relations
3
EU countries
3
EU-Staaten
3
Economic convergence
3
Euro area
3
Eurozone
3
Konjunktur
3
Konjunkturzusammenhang
3
Optimaler Währungsraum
3
Optimum currency area
3
Periphere Region
3
Periphery
3
Regression analysis
3
Regressionsanalyse
3
Schock
3
Shock
3
Time series analysis
3
Wirtschaftliche Konvergenz
3
Zeitreihenanalyse
3
Zentrum-Peripherie-Beziehungen
3
business cycles
3
Land Values
2
Local Polynomial Regressions
2
Semi-Parametric Estimation
2
common monetary policy
2
Balanced Panel
1
Estimation theory
1
Fixed Effects
1
Geldpolitik
1
Kleinste-Quadrate-Methode
1
Least squares method
1
Location Values
1
Monetary policy
1
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Working Paper
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4
Graue Literatur
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English
7
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2
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Belke, Ansgar
6
Domnick, Clemens
6
Gros, Daniel
6
Clapp, John M.
2
Cohen, Jeffrey P.
2
Coughlin, Cletus C.
1
Coughlin, Cletus Charles
1
Yanagi, Takahide
1
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Federal Reserve Bank of St. Louis
1
Institute of Economic Research, Kyoto University
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Ruhr economic papers
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ECONIS (ZBW)
4
EconStor
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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:
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