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Regional employment forecasts...
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1
Forecasting the unemployment rate over districts with the use of distinct methods
Wozniak, Marcin
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
24
(
2020
)
2
,
pp. 1-20
Persistent link: https://www.econbiz.de/10012198640
Saved in:
2
Evaluating the impact of the labor market conditions index on labor market forecasts
Connolly, Laura
;
Sheehan, Alice
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
22
(
2018
)
1
,
pp. 1-17
Persistent link: https://www.econbiz.de/10011886642
Saved in:
3
Experts, firms, consumers or even hard data? : forecasting employment in
Germany
Lehmann, Robert
;
Wohlrabe, Klaus
- In:
Applied economics letters
24
(
2017
)
4/6
,
pp. 279-283
Persistent link: https://www.econbiz.de/10011704457
Saved in:
4
Labour market forecasting in
Germany
: is disaggregation useful?
Weber, Enzo
;
Zika, Gerd
- In:
Applied economics
48
(
2016
)
22/24
,
pp. 2183-2198
Persistent link: https://www.econbiz.de/10011590454
Saved in:
5
Individual discount rates forecast county-level unemployment change
Loveridge, Scott
;
Komarek, Timothy
- In:
Applied economics letters
23
(
2016
)
16/18
,
pp. 1301-1304
Persistent link: https://www.econbiz.de/10011702555
Saved in:
6
Labor demand forecasting : the case of Cambodia
Sereyvuth, KY
- In:
Bulletin of applied economics
10
(
2023
)
2
,
pp. 89-105
Persistent link: https://www.econbiz.de/10014495198
Saved in:
7
Spatial econometric approach to the EU regional employment process
Furková, Andrea
;
Chocholatá, Michaela
- In:
Central European journal of operations research
29
(
2021
)
3
,
pp. 1037-1056
Persistent link: https://www.econbiz.de/10012587743
Saved in:
8
Labor misallocation across firms and regions
Heise, Sebastian
;
Porzio, Tommaso
-
2022
Persistent link: https://www.econbiz.de/10013285938
Saved in:
9
A new method of estimating potential real GDP growth : implications for the labor market and the debt/GDP ratio
Gordon, Robert J.
-
2014
Persistent link: https://www.econbiz.de/10010413260
Saved in:
10
Calibrating ensemble forecasting models with sparse data in the social sciences
Montgomery, Jacob M.
;
Hollenbach, Florian M.
;
Ward, …
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 930-942
Persistent link: https://www.econbiz.de/10011474738
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