A spatial analysis of employment multipliers in the US
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DOI: 10.1007/s12076-015-0157-z
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Cited by:
- Augusto Cerqua & Guido Pellegrini, 2020.
"Local multipliers at work,"
Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(4), pages 959-977.
- Cerqua, Augusto & Pellegrini, Guido, 2018. "Local multipliers at work," MPRA Paper 85326, University Library of Munich, Germany.
- E. A. Edinak, 2020. "Estimating Total Labor Input for Supporting Informed Economic Policy Decisions," Studies on Russian Economic Development, Springer, vol. 31(6), pages 655-662, November.
- Licia Ferranna & Margherita Gerolimetto & Stefano Magrini, 2016. "Urban Governance Structure and Wage Disparities across US Metropolitan Areas," Working Papers 2016:26, Department of Economics, University of Venice "Ca' Foscari".
- Philippe Frocrain & Pierre-Noël Giraud, 2017. "The evolution of tradable and non-tradable employment: evidence from France," Working Papers hal-01695159, HAL.
- Taner Osman & Tom Kemeny, 2022. "Local job multipliers revisited," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 150-170, January.
- Luca Salvati & Margherita Carlucci & Giuseppe Venanzoni, 2017. "Recession, resilience, local labour markets: wealthier is better?," Letters in Spatial and Resource Sciences, Springer, vol. 10(2), pages 177-204, July.
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More about this item
Keywords
Local multipliers; Regional policy; Spatial models; Instrumental variable estimation;All these keywords.
JEL classification:
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
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