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Margherita Gerolimetto

Personal Details

First Name:Margherita
Middle Name:
Last Name:Gerolimetto
Suffix:
RePEc Short-ID:pge176

Affiliation

(in no particular order)

Scuola Superiore di Economia (SSE-Ca' Foscari) (Advanced School of Economics in Venice)

Venezia, Italy
http://venus.unive.it/sse/
RePEc:edi:ssvenit (more details at EDIRC)

Dipartimento di Economia (Department of Economics)
Università Ca' Foscari Venezia (University Ca' Foscari Venice)

Venezia, Italy
http://www.unive.it/dip.economia
RePEc:edi:dsvenit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Licia Ferranna & Margherita Gerolimetto & Stefano Magrini, 2016. "The effect of immigration on convergence dynamics in the US," Working Papers 2016:27, Department of Economics, University of Venice "Ca' Foscari".
  2. 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".
  3. Margherita Gerolimetto & Stefano Magrini, 2016. "Distribution Dynamics in the US. A Spatial Perspective," Working Papers 2016:02, Department of Economics, University of Venice "Ca' Foscari".
  4. Licia Ferranna & Margherita Gerolimetto & Stefano Magrini, 2016. "The Evolution of Income Disparities across US Metropolitan Statistical Areas," Working Papers 2016:25, Department of Economics, University of Venice "Ca' Foscari".
  5. Stefano Magrini & Margherita Gerolimetto, 2015. "Spatial Distribution Dynamics," ERSA conference papers ersa15p1172, European Regional Science Association.
  6. Stefano Magrini & Margherita Gerolimetto, 2013. "Space and nonlinearities in local multiplier analysis," ERSA conference papers ersa13p616, European Regional Science Association.
  7. Stefano Magrini & Margherita Gerolimetto & Hasan Engin Duran, 2011. "Understanding the lead/lag structure among regional business cycles," Working Papers 2011_06, Department of Economics, University of Venice "Ca' Foscari".
  8. Stefano Magrini & Margherita Gerolimetto, 2011. "A spatial nonparametric analysis of local multipliers," ERSA conference papers ersa11p1692, European Regional Science Association.
  9. Stefano Magrini & Margherita Gerolimetto & Hasan Engin Duran, 2011. "Distortions in Cross-Sectional Convergence Analysis when the Aggregate Business Cycle is Incomplete," Working Papers 2011_07, Department of Economics, University of Venice "Ca' Foscari".
  10. Margherita Gerolimetto & Stefano Magrini, 2010. "Convergence analysis as distribution dynamics when data are spatially dependent," Working Papers 2010_12, Department of Economics, University of Venice "Ca' Foscari".
  11. Stefano Magrini & Margherita Gerolimetto, 2009. "Nonparametric regression with spatially dependent data," Working Papers 2009_20, Department of Economics, University of Venice "Ca' Foscari".
  12. Isabella Procidano & Margherita Gerolimetto & Silio Rigatti Luchini, 2006. "Dynamic cointegration and relevant vector machine: the relationship between gold and silver," Computing in Economics and Finance 2006 380, Society for Computational Economics.
  13. M. Gerolimetto & Peter M Robinson, 2006. "Instrumental Variables Estimation of Stationaryand Nonstationary Cointegrating Regressions," STICERD - Econometrics Paper Series 500, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  14. Gerolimetto, M. & Mauracher, Christine & Procidano, I., 2005. "Analysing Wine Demand With Artificial Neural Networks," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24753, European Association of Agricultural Economists.
  15. Gerolimetto, M. & Mauracher, Christine & Procidano, I., 2005. "Italian Consumption of Wild and Farmed Fish: Demand and Elasticity Estimation," 95th Seminar, December 9-10, 2005, Civitavecchia, Italy 56076, European Association of Agricultural Economists.

Articles

  1. Margherita Gerolimetto & Stefano Magrini, 2017. "On the power of the simulation-based ADF test in bounded time series," Economics Bulletin, AccessEcon, vol. 37(1), pages 539-552.
  2. Margherita Gerolimetto & Stefano Magrini, 2016. "A spatial analysis of employment multipliers in the US," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 277-285, October.
  3. Margherita Gerolimetto, 2016. "Estimating The Long Memory Parameter In Nonstationary Models: Further Monte Carlo Evidence," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 70(1), pages 123-134, January-A.
  4. Stefano Magrini & Margherita Gerolimetto & Hasan Engin Duran, 2015. "Regional Convergence and Aggregate Business Cycle in the United States," Regional Studies, Taylor & Francis Journals, vol. 49(2), pages 251-272, February.
  5. Luisa Bisaglia & Margherita Gerolimetto, 2015. "Forecasting integer autoregressive processes of order 1: are simple AR competitive?," Economics Bulletin, AccessEcon, vol. 35(3), pages 1652-1660.
  6. Margherita Gerolimetto & Stefano Magrini, 2014. "Spatial analysis of employment multilpliers in Spanish labor markets," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 68(3-4), pages 87-94, July-Dece.
  7. Margherita Gerolimetto & Christine Mauracher, 2013. "Analysis Of Food Consumption In Europe Via Time Series Clustering," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(3-4), pages 143-150, July-Dece.
  8. Magrini Stefano & Gerolimetto Margherita & Duran Hasan Engin, 2013. "Business cycle dynamics across the US states," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-28, April.
  9. Luisa Bisaglia & Margherita Gerolimetto, 2009. "Testing structural breaks versus long memory with the Box–Pierce statistics: a Monte Carlo study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(4), pages 543-553, November.
  10. Margherita Gerolimetto & Christine Mauracher, 2009. "Struttura ed evoluzione delle esportazioni italiane di vino da tavola e a denominazione di origine," Economia agro-alimentare, FrancoAngeli Editore, vol. 11(3), pages 119-142.
  11. Bisaglia, Luisa & Gerolimetto, Margherita, 2008. "Forecasting long memory time series when occasional breaks occur," Economics Letters, Elsevier, vol. 98(3), pages 253-258, March.
  12. Gerolimetto, Margherita & Mauracher, Christine & Procidano, Isabella, 2008. "Analyzing Wine Demand with Artificial Neural Networks," Journal of Wine Economics, Cambridge University Press, vol. 3(1), pages 30-50, April.
  13. Margherita Gerolimetto & Isabella Procidano, 2008. "A test for fractional cointegration using the sieve bootstrap," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 373-391, July.
  14. P. M. Robinson & M. Gerolimetto, 2006. "Instrumental variables estimation of stationary and non-stationary cointegrating regressions," Econometrics Journal, Royal Economic Society, vol. 9(2), pages 291-306, July.
  15. Gerolimetto, Margherita, 2006. "Frequency domain bootstrap for the fractional cointegration regression," Economics Letters, Elsevier, vol. 91(3), pages 389-394, June.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. 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".

    Cited by:

    1. Stuart Donovan & Thomas de Graaff & Henri de Groot & Carl Koopmans, 2021. "Unravelling urban advantages - A meta-analysis of agglomeration economies," Tinbergen Institute Discussion Papers 21-026/VIII, Tinbergen Institute.

  2. Margherita Gerolimetto & Stefano Magrini, 2016. "Distribution Dynamics in the US. A Spatial Perspective," Working Papers 2016:02, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Carlos Mendez-Guerra, 2017. "Heterogeneous Growth and Regional (Di)Convergence in Bolivia: A Distribution Dynamics Approach," Economia Coyuntural,Revista de temas de perspectivas y coyuntura, Instituto de Investigaciones Economicas y Sociales 'Jose Ortiz Mercado' (IIES-JOM), Facultad de Ciencias Economicas, Administrativas y Financieras, Universidad Autonoma Gabriel Rene Moreno, vol. 2(4), pages 81-108.
    2. Licia Ferranna & Margherita Gerolimetto & Stefano Magrini, 2016. "The effect of immigration on convergence dynamics in the US," Working Papers 2016:27, Department of Economics, University of Venice "Ca' Foscari".
    3. Pablo Dario Villalobos Trujillo & Luis Fernando Cabrera Castellanos, 2018. "Job-Searching And Job-Matching Function In The Mexican Labour Market 2009 - 2015," Economia Coyuntural,Revista de temas de perspectivas y coyuntura, Instituto de Investigaciones Economicas y Sociales 'Jose Ortiz Mercado' (IIES-JOM), Facultad de Ciencias Economicas, Administrativas y Financieras, Universidad Autonoma Gabriel Rene Moreno, vol. 3(1), pages 87-114.

  3. Licia Ferranna & Margherita Gerolimetto & Stefano Magrini, 2016. "The Evolution of Income Disparities across US Metropolitan Statistical Areas," Working Papers 2016:25, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. 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".

  4. Stefano Magrini & Margherita Gerolimetto, 2015. "Spatial Distribution Dynamics," ERSA conference papers ersa15p1172, European Regional Science Association.

    Cited by:

    1. Carlos Mendez-Guerra, 2017. "Heterogeneous Growth and Regional (Di)Convergence in Bolivia: A Distribution Dynamics Approach," Economia Coyuntural,Revista de temas de perspectivas y coyuntura, Instituto de Investigaciones Economicas y Sociales 'Jose Ortiz Mercado' (IIES-JOM), Facultad de Ciencias Economicas, Administrativas y Financieras, Universidad Autonoma Gabriel Rene Moreno, vol. 2(4), pages 81-108.
    2. Davide FIASCHI & Lisa GIANMOENA & Angela PARENTI, 2014. "Local Directional Moran Scatter Plot - Ldms," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 97-112.
    3. Mendez-Guerra, Carlos, 2018. "Beta, Sigma and Distributional Convergence in Human Development? Evidence from the Metropolitan Regions of Bolivia," MPRA Paper 87627, University Library of Munich, Germany.
    4. Fiaschi, Davide & Gianmoena, Lisa & Parenti, Angela, 2018. "Spatial club dynamics in European regions," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 115-130.
    5. Pablo Dario Villalobos Trujillo & Luis Fernando Cabrera Castellanos, 2018. "Job-Searching And Job-Matching Function In The Mexican Labour Market 2009 - 2015," Economia Coyuntural,Revista de temas de perspectivas y coyuntura, Instituto de Investigaciones Economicas y Sociales 'Jose Ortiz Mercado' (IIES-JOM), Facultad de Ciencias Economicas, Administrativas y Financieras, Universidad Autonoma Gabriel Rene Moreno, vol. 3(1), pages 87-114.
    6. Mendez-Guerra, Carlos, 2018. "¿Convergencia beta, sigma y distribucional en desarrollo humano? Evidencia de las regiones metropolitanas de Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 30, pages 88-117, November.

  5. Stefano Magrini & Margherita Gerolimetto & Hasan Engin Duran, 2011. "Understanding the lead/lag structure among regional business cycles," Working Papers 2011_06, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers hal-04159759, HAL.

  6. Stefano Magrini & Margherita Gerolimetto, 2011. "A spatial nonparametric analysis of local multipliers," ERSA conference papers ersa11p1692, European Regional Science Association.

    Cited by:

    1. Clement Malgouyres, 2013. "*Trade Shocks** and Local Employment Multipliers: Evidence from France," ERSA conference papers ersa13p667, European Regional Science Association.

  7. Stefano Magrini & Margherita Gerolimetto & Hasan Engin Duran, 2011. "Distortions in Cross-Sectional Convergence Analysis when the Aggregate Business Cycle is Incomplete," Working Papers 2011_07, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Neumann, Uwe & Budde, Rüdiger & Ehlert, Christoph, 2012. "Urban Economic Growth in Europe Between 2001 and 2008 – Gravitation or Dispersion?," Ruhr Economic Papers 384, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  8. Margherita Gerolimetto & Stefano Magrini, 2010. "Convergence analysis as distribution dynamics when data are spatially dependent," Working Papers 2010_12, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Paul Evans & Ji Uk Kim, 2016. "Convergence analysis as spatial dynamic panel regression and distribution dynamics of $$\hbox {CO}_{2}$$ CO 2 emissions in Asian countries," Empirical Economics, Springer, vol. 50(3), pages 729-751, May.

  9. Stefano Magrini & Margherita Gerolimetto, 2009. "Nonparametric regression with spatially dependent data," Working Papers 2009_20, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Margherita Gerolimetto & Stefano Magrini, 2010. "Convergence analysis as distribution dynamics when data are spatially dependent," Working Papers 2010_12, Department of Economics, University of Venice "Ca' Foscari".
    2. Hasan Engin Duran, 2011. "Short-run dynamics of income disparities and regional cycle synchronization," Working Papers 2011_09, Department of Economics, University of Venice "Ca' Foscari".
    3. Paul Evans & Ji Uk Kim, 2016. "Convergence analysis as spatial dynamic panel regression and distribution dynamics of $$\hbox {CO}_{2}$$ CO 2 emissions in Asian countries," Empirical Economics, Springer, vol. 50(3), pages 729-751, May.
    4. Eduardo A. Souza-Rodrigues, 2016. "Nonparametric Regression with Common Shocks," Econometrics, MDPI, vol. 4(3), pages 1-17, September.

  10. Isabella Procidano & Margherita Gerolimetto & Silio Rigatti Luchini, 2006. "Dynamic cointegration and relevant vector machine: the relationship between gold and silver," Computing in Economics and Finance 2006 380, Society for Computational Economics.

    Cited by:

    1. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.

  11. M. Gerolimetto & Peter M Robinson, 2006. "Instrumental Variables Estimation of Stationaryand Nonstationary Cointegrating Regressions," STICERD - Econometrics Paper Series 500, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

    Cited by:

    1. Phillips, Peter C.B., 2014. "Optimal estimation of cointegrated systems with irrelevant instruments," Journal of Econometrics, Elsevier, vol. 178(P2), pages 210-224.
    2. Moshi, Goodiel Charles & Mwakatumbula, Hilda Jacob, 2017. "Effects of political stability and sector regulations on investments in African mobile markets," Telecommunications Policy, Elsevier, vol. 41(7), pages 651-661.
    3. Hualde Javier & Iacone Fabrizio, 2012. "First Stage Estimation of Fractional Cointegration," Journal of Time Series Econometrics, De Gruyter, vol. 4(1), pages 1-32, May.
    4. Hualde, J. & Robinson, P.M., 2010. "Semiparametric inference in multivariate fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 157(2), pages 492-511, August.
    5. Garcia-Swartz, Daniel D. & Muhamedagić, Mensur & Saenz, Diana, 2019. "The role of prices and network effects in the growth of the iPhone platform," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 110-122.
    6. Hualde, Javier, 2014. "Estimation of long-run parameters in unbalanced cointegration," Journal of Econometrics, Elsevier, vol. 178(2), pages 761-778.
    7. Moshi, Goodiel & Mitomo, Hitoshi, 2014. "Political stability, regulation and investment in the African mobile markets," 25th European Regional ITS Conference, Brussels 2014 101430, International Telecommunications Society (ITS).

  12. Gerolimetto, M. & Mauracher, Christine & Procidano, I., 2005. "Analysing Wine Demand With Artificial Neural Networks," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24753, European Association of Agricultural Economists.

    Cited by:

    1. Elena Vigan? & Gervasio Antonelli & Gian Italo Bischi & Fabio Tramontana, 2015. "Consumo e consumatori di prodotti alimentari nella societ? postmoderna," Economia agro-alimentare, FrancoAngeli Editore, vol. 17(1), pages 59-80.

Articles

  1. Margherita Gerolimetto & Stefano Magrini, 2017. "On the power of the simulation-based ADF test in bounded time series," Economics Bulletin, AccessEcon, vol. 37(1), pages 539-552.

    Cited by:

    1. Shuyu Li & Rongrong Li, 2017. "Comparison of Forecasting Energy Consumption in Shandong, China Using the ARIMA Model, GM Model, and ARIMA-GM Model," Sustainability, MDPI, vol. 9(7), pages 1-19, July.

  2. Margherita Gerolimetto & Stefano Magrini, 2016. "A spatial analysis of employment multipliers in the US," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 277-285, October.

    Cited by:

    1. 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.
    2. Philippe Frocrain & Pierre-Noël Giraud, 2017. "The evolution of tradable and non-tradable employment: evidence from France," Working Papers hal-01695159, HAL.
    3. Cerqua, Augusto & Pellegrini, Guido, 2018. "Local multipliers at work," MPRA Paper 85326, University Library of Munich, Germany.
    4. 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".
    5. Taner Osman & Tom Kemeny, 2022. "Local job multipliers revisited," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 150-170, January.
    6. 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.

  3. Stefano Magrini & Margherita Gerolimetto & Hasan Engin Duran, 2015. "Regional Convergence and Aggregate Business Cycle in the United States," Regional Studies, Taylor & Francis Journals, vol. 49(2), pages 251-272, February.

    Cited by:

    1. Hasan Engin DURAN, 2015. "Non-Linear Regional Income Divergence And Policies: Turkey Case," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 107-114, December.
    2. Margherita Gerolimetto & Stefano Magrini, 2016. "A spatial analysis of employment multipliers in the US," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 277-285, October.
    3. Panagiotis Artelaris, 2021. "Regional economic growth and inequality in Greece," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 141-158, February.
    4. John R. Posey, 2021. "The geographic redistribution of income in the United States, 1970–2010: the role of the super-wealthy," Letters in Spatial and Resource Sciences, Springer, vol. 14(3), pages 321-333, December.
    5. Panagiotis Mitropoulos & Alexandros Mitropoulos, 2023. "Evaluating efficiency and technology gaps of the national systems of entrepreneurship using stochastic DEA and club convergence," Operational Research, Springer, vol. 23(1), pages 1-28, March.
    6. Alejandra Trejo Nieto, 2021. "Regional disparities in Mexico and the spatially cumulative effects of national development and economic cycles, 1940–2013," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1283-1296, August.
    7. Margherita Gerolimetto & Stefano Magrini, 2017. "A Finite Sample Appraisal Of The Distribution Dynamics Approach," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 71(4), pages 31-40, October-D.
    8. Weili Zhang & Wei Xu & Xiaoye Wang, 2019. "Regional convergence clubs in China: identification and conditioning factors," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(2), pages 327-350, April.
    9. Kounetas, Konstantinos E. & Polemis, Michael L. & Tzeremes, Nickolaos G., 2021. "Measurement of eco-efficiency and convergence: Evidence from a non-parametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 291(1), pages 365-378.
    10. 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.
    11. Fazio, Giorgio & Piacentino, Davide, 2018. "Convergence analysis for hierarchical longitudinal data," Economic Modelling, Elsevier, vol. 73(C), pages 89-99.

  4. Luisa Bisaglia & Margherita Gerolimetto, 2015. "Forecasting integer autoregressive processes of order 1: are simple AR competitive?," Economics Bulletin, AccessEcon, vol. 35(3), pages 1652-1660.

    Cited by:

    1. Annika Homburg & Christian H. Weiß & Layth C. Alwan & Gabriel Frahm & Rainer Göb, 2019. "Evaluating Approximate Point Forecasting of Count Processes," Econometrics, MDPI, vol. 7(3), pages 1-28, July.

  5. Margherita Gerolimetto & Stefano Magrini, 2014. "Spatial analysis of employment multilpliers in Spanish labor markets," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 68(3-4), pages 87-94, July-Dece.

    Cited by:

    1. Cerqua, Augusto & Pellegrini, Guido, 2018. "Local multipliers at work," MPRA Paper 85326, University Library of Munich, Germany.
    2. Jasper van Dijk, 2015. "Local Multipliers In United States Cities: A Replication of Moretti (2010)," Economics Series Working Papers 771, University of Oxford, Department of Economics.
    3. Taner Osman & Tom Kemeny, 2022. "Local job multipliers revisited," Journal of Regional Science, Wiley Blackwell, vol. 62(1), pages 150-170, January.

  6. Magrini Stefano & Gerolimetto Margherita & Duran Hasan Engin, 2013. "Business cycle dynamics across the US states," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-28, April.

    Cited by:

    1. Hasan Engin Duran & Pawe³ Gajewski, 2023. "State-level Taylor rule and monetary policy stress," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 89-120, March.
    2. Hazem Krichene & Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2017. "Business cycles’ correlation and systemic risk of the Japanese supplier-customer network," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-22, October.
    3. Jonathan N. Millar & Stephen D. Oliner & Daniel E. Sichel, 2012. "Time-to plan lags for commercial construction projects," Finance and Economics Discussion Series 2012-34, Board of Governors of the Federal Reserve System (U.S.).
    4. Frank Bohn, 2018. "Political cycles: Beyond rational expectations," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-23, October.
    5. Hasan Engin Duran & Ugo Fratesi, 2023. "Economic resilience and regionally differentiated cycles: Evidence from a turning point approach in Italy," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 219-252, April.
    6. Hasan Engin Duran & Alexandra Ferreira-Lopes, 2017. "Determinants of co-movement and of lead and lag behavior of business cycles in the Eurozone," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(2), pages 255-282, March.
    7. Hall, Viv & Thomson, Peter & McKelvie, Stuart, 2015. "On trend robustness and end-point issues for New Zealand’s stylised business cycle facts," Working Paper Series 18867, Victoria University of Wellington, School of Economics and Finance.
    8. Koenig, Michael & Rogers, Tim, 2018. "Endogenous Technology Cycles in Dynamic R&D Networks," CEPR Discussion Papers 13307, C.E.P.R. Discussion Papers.
    9. López, María del Carmen Delgado & Fonseca-Zendejas, Alejandro Steven, 2023. "Analysis of the intersectoral synchronization of the Mexican economy," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 225-235.

  7. Luisa Bisaglia & Margherita Gerolimetto, 2009. "Testing structural breaks versus long memory with the Box–Pierce statistics: a Monte Carlo study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(4), pages 543-553, November.

    Cited by:

    1. Robinson Kruse & Philipp Sibbertsen, 2010. "Long memory and changing persistence," CREATES Research Papers 2010-42, Department of Economics and Business Economics, Aarhus University.
    2. Jerry Coakley & Jian Dollery & Neil Kellard, 2011. "Long memory and structural breaks in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(11), pages 1076-1113, November.
    3. Arturo Leccadito & Omar Rachedi & Giovanni Urga, 2015. "True Versus Spurious Long Memory: Some Theoretical Results and a Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 452-479, April.

  8. Gerolimetto, Margherita & Mauracher, Christine & Procidano, Isabella, 2008. "Analyzing Wine Demand with Artificial Neural Networks," Journal of Wine Economics, Cambridge University Press, vol. 3(1), pages 30-50, April.
    See citations under working paper version above.
  9. Margherita Gerolimetto & Isabella Procidano, 2008. "A test for fractional cointegration using the sieve bootstrap," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(3), pages 373-391, July.

    Cited by:

    1. Dong Jin Lee, 2021. "Bootstrap tests for structural breaks when the regressors and the serially correlated error term are unstable," Bulletin of Economic Research, Wiley Blackwell, vol. 73(2), pages 212-229, April.
    2. Franco, G.C. & Reisen, V.A. & Alves, F.A., 2013. "Bootstrap tests for fractional integration and cointegration: A comparison study," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 87(C), pages 19-29.

  10. P. M. Robinson & M. Gerolimetto, 2006. "Instrumental variables estimation of stationary and non-stationary cointegrating regressions," Econometrics Journal, Royal Economic Society, vol. 9(2), pages 291-306, July.
    See citations under working paper version above.
  11. Gerolimetto, Margherita, 2006. "Frequency domain bootstrap for the fractional cointegration regression," Economics Letters, Elsevier, vol. 91(3), pages 389-394, June.

    Cited by:

    1. Siem Jan Koopman & Soon Yip Wong, 2006. "Extracting Business Cycles using Semi-parametric Time-varying Spectra with Applications to US Macroeconomic Time Series," Tinbergen Institute Discussion Papers 06-105/4, Tinbergen Institute.
    2. Kellard, Neil & Dunis, Christian & Sarantis, Nicholas, 2010. "Foreign exchange, fractional cointegration and the implied-realized volatility relation," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 882-891, April.
    3. Kellard, Neil M. & Jiang, Ying & Wohar, Mark, 2015. "Spurious long memory, uncommon breaks and the implied–realized volatility puzzle," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 36-54.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-GEO: Economic Geography (8) 2009-10-10 2010-07-24 2011-07-13 2011-07-13 2011-11-28 2016-10-23 2016-10-30 2016-10-30. Author is listed
  2. NEP-URE: Urban and Real Estate Economics (6) 2009-10-10 2010-07-24 2011-07-13 2011-11-28 2016-10-23 2016-10-30. Author is listed
  3. NEP-ECM: Econometrics (4) 2009-10-10 2010-07-24 2015-11-01 2016-02-04
  4. NEP-BEC: Business Economics (1) 2011-07-13
  5. NEP-MIG: Economics of Human Migration (1) 2016-10-30

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