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Barbara Guardabascio

Personal Details

First Name:Barbara
Middle Name:
Last Name:Guardabascio
Suffix:
RePEc Short-ID:pgu443
0646737311

Affiliation

Istituto Nazionale di Statistica (ISTAT)

Roma, Italy
http://www.istat.it/
RePEc:edi:istgvit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Gianluca Cubadda & Barbara Guardabascio, 2017. "Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model," CEIS Research Paper 397, Tor Vergata University, CEIS, revised 13 Jul 2018.
  2. Cubadda, G. & Guardabascio, B. & Hecq, A.W., 2015. "A Vector Heterogeneous Autoregressive Index model for realized volatility measures," Research Memorandum 033, Maastricht University, Graduate School of Business and Economics (GSBE).
  3. Barbara Guardabascio & Marco Ventura, 2013. "Estimating the dose-response function through the GLM approach," German Stata Users' Group Meetings 2013 10, Stata Users Group.
  4. Gianluca Cubadda & Barbara Guardabascio & Alain Hecq, 2012. "A General to Specific Approach for Constructing Composite Business Cycle Indicators," CEIS Research Paper 224, Tor Vergata University, CEIS, revised 27 Feb 2012.
  5. Gianluca Cubadda & Barbara Guardabascio, 2010. "A Medium-N Approach to Macroeconomic Forecasting," CEIS Research Paper 176, Tor Vergata University, CEIS, revised 09 Dec 2010.

Articles

  1. Cubadda, Gianluca & Guardabascio, Barbara, 2019. "Representation, estimation and forecasting of the multivariate index-augmented autoregressive model," International Journal of Forecasting, Elsevier, vol. 35(1), pages 67-79.
  2. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2017. "A vector heterogeneous autoregressive index model for realized volatility measures," International Journal of Forecasting, Elsevier, vol. 33(2), pages 337-344.
  3. Barbara Iaconelli & Fabio Bacchini & Maria Giulia Ippoliti & Barbara Guardabascio & Roberto Iannaccone, 2015. "The seasonal adjustment of quarterly service turnover indices," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 17(1), pages 55-78.
  4. Barbara Guardabascio & Marco Ventura, 2014. "Estimating the dose–response function through a generalized linear model approach," Stata Journal, StataCorp LP, vol. 14(1), pages 141-158, March.
  5. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2013. "A general to specific approach for constructing composite business cycle indicators," Economic Modelling, Elsevier, vol. 33(C), pages 367-374.
  6. Cubadda, Gianluca & Guardabascio, Barbara, 2012. "A medium-N approach to macroeconomic forecasting," Economic Modelling, Elsevier, vol. 29(4), pages 1099-1105.

Software components

  1. Marco Ventura & Barbara Guardabascio, 2013. "DOSERESPONSE2: Stata module to estimate generalized propensity score," Statistical Software Components S457664, Boston College Department of Economics.
  2. Marco Ventura & Barbara Guardabascio, 2013. "GPSCORE2: Stata module to estimate the parameters of the conditional distribution of the treatment via GLM," Statistical Software Components S457665, Boston College Department of Economics.

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. Gianluca Cubadda & Barbara Guardabascio, 2017. "Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model," CEIS Research Paper 397, Tor Vergata University, CEIS, revised 13 Jul 2018.

    Cited by:

    1. Gianluca Cubadda & Alain Hecq, 2021. "Reduced Rank Regression Models in Economics and Finance," CEIS Research Paper 525, Tor Vergata University, CEIS, revised 08 Nov 2021.
    2. Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
    3. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
    4. Mustafa Ozguven & Chong Yan Gao & Mohamed Yacine Si Tayeb, 2021. "The Utilization of Autoregressive Forecasting Models in Strategic Management," International Journal of Science and Business, IJSAB International, vol. 5(7), pages 170-185.
    5. G. Cubadda & S. Grassi & B. Guardabascio, 2022. "The Time-Varying Multivariate Autoregressive Index Model," Papers 2201.07069, arXiv.org.
    6. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    7. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    8. Gianluca Cubadda & Marco Mazzali, 2023. "The Vector Error Correction Index Model: Representation, Estimation and Identification," CEIS Research Paper 556, Tor Vergata University, CEIS, revised 04 Apr 2023.

  2. Cubadda, G. & Guardabascio, B. & Hecq, A.W., 2015. "A Vector Heterogeneous Autoregressive Index model for realized volatility measures," Research Memorandum 033, Maastricht University, Graduate School of Business and Economics (GSBE).

    Cited by:

    1. Gianluca Cubadda & Alain Hecq, 2021. "Reduced Rank Regression Models in Economics and Finance," CEIS Research Paper 525, Tor Vergata University, CEIS, revised 08 Nov 2021.
    2. Wang, Jiqian & Lu, Xinjie & He, Feng & Ma, Feng, 2020. "Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    3. S. Yaser Samadi & Wiranthe B. Herath, 2023. "Reduced-rank Envelope Vector Autoregressive Models," Papers 2309.12902, arXiv.org.
    4. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    5. Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2018. "Asymmetric semi-volatility spillover effects in EMU stock markets," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 221-230.
    6. Wilms, Ines & Rombouts, Jeroen & Croux, Christophe, 2021. "Multivariate volatility forecasts for stock market indices," International Journal of Forecasting, Elsevier, vol. 37(2), pages 484-499.
    7. Jian, Zhihong & Deng, Pingjun & Zhu, Zhican, 2018. "High-dimensional covariance forecasting based on principal component analysis of high-frequency data," Economic Modelling, Elsevier, vol. 75(C), pages 422-431.
    8. Luc BAUWENS, Manuela BRAIONE and Giuseppe STORTI & Luc BAUWENS, Manuela BRAIONE and Giuseppe STORTI & Luc BAUWENS, Manuela BRAIONE and Giuseppe STORTI, 2017. "A dynamic component model for forecasting high-dimensional realized covariance matrices," LIDAM Reprints CORE 2812, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. G. Cubadda & S. Grassi & B. Guardabascio, 2022. "The Time-Varying Multivariate Autoregressive Index Model," Papers 2201.07069, arXiv.org.
    10. Gianluca Cubadda & Alain Hecq, 2022. "Dimension Reduction for High Dimensional Vector Autoregressive Models," CEIS Research Paper 534, Tor Vergata University, CEIS, revised 24 Mar 2022.
    11. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    12. Gianluca Cubadda & Barbara Guardabascio, 2017. "Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model," CEIS Research Paper 397, Tor Vergata University, CEIS, revised 13 Jul 2018.
    13. Gianluca Cubadda & Marco Mazzali, 2023. "The Vector Error Correction Index Model: Representation, Estimation and Identification," CEIS Research Paper 556, Tor Vergata University, CEIS, revised 04 Apr 2023.
    14. Yaojie Zhang & Yudong Wang & Feng Ma, 2021. "Forecasting US stock market volatility: How to use international volatility information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 733-768, August.
    15. Won-Tak Hong & Jiwon Lee & Eunju Hwang, 2020. "A Note on the Asymptotic Normality Theory of the Least Squares Estimates in Multivariate HAR-RV Models," Mathematics, MDPI, vol. 8(11), pages 1-18, November.
    16. Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019. "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 132-146.
    17. Chao Liang & Yu Wei & Yaojie Zhang, 2020. "Is implied volatility more informative for forecasting realized volatility: An international perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1253-1276, December.
    18. Qiao, Gaoxiu & Yang, Jiyu & Li, Weiping, 2020. "VIX forecasting based on GARCH-type model with observable dynamic jumps: A new perspective," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).

  3. Barbara Guardabascio & Marco Ventura, 2013. "Estimating the dose-response function through the GLM approach," German Stata Users' Group Meetings 2013 10, Stata Users Group.

    Cited by:

    1. Andrea Filippetti & Giovanni Cerulli, 2018. "Are local public services better delivered in more autonomous regions? Evidence from European regions using a dose‐response approach," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 801-826, August.
    2. Ahlfeldt, Gabriel M., 2018. "Weights to address non‐parallel trends in panel difference‐in‐differences models," LSE Research Online Documents on Economics 87666, London School of Economics and Political Science, LSE Library.
    3. Chen, Jason V., 2023. "The wisdom of crowds and the market's response to earnings news: Evidence using the geographic dispersion of investors," Journal of Accounting and Economics, Elsevier, vol. 75(2).
    4. Chepchirchir, R. & Macharia, I. & Murage, A.W. & Midega, C.A.O. & Khan, Z.R., 2016. "Impact assessment of push-pull technology on incomes, productivity and poverty among smallholder households in Eastern Uganda," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246316, African Association of Agricultural Economists (AAAE).
    5. Ruth T. Chepchirchir & Ibrahim Macharia & Alice W. Murage & Charles A. O. Midega & Zeyaur R. Khan, 2017. "Impact assessment of push-pull pest management on incomes, productivity and poverty among smallholder households in Eastern Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1359-1372, December.
    6. Smale, Melinda & Kusunose, Yoko & Mathenge, Mary K. & Alia, Didier, 2014. "Destination or Distraction? Querying the Linkage between Off-farm Income and Farm Investments in Kenya," Food Security International Development Working Papers 196829, Michigan State University, Department of Agricultural, Food, and Resource Economics.

  4. Gianluca Cubadda & Barbara Guardabascio & Alain Hecq, 2012. "A General to Specific Approach for Constructing Composite Business Cycle Indicators," CEIS Research Paper 224, Tor Vergata University, CEIS, revised 27 Feb 2012.

    Cited by:

    1. Marczak, Martyna & Gómez, Víctor, 2012. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," FZID Discussion Papers 50-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    2. Agne Reklaite, 2015. "Globalisation Effect Measure Via Hierarchical Dynamic Factor Modelling," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 10(3), pages 139-149, September.
    3. Gianluca Cubadda & Barbara Guardabascio, 2017. "Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model," CEIS Research Paper 397, Tor Vergata University, CEIS, revised 13 Jul 2018.
    4. Mihnea Constantinescu, 2023. "Sparse Warcasting," Working Papers 01/2023, National Bank of Ukraine.

  5. Gianluca Cubadda & Barbara Guardabascio, 2010. "A Medium-N Approach to Macroeconomic Forecasting," CEIS Research Paper 176, Tor Vergata University, CEIS, revised 09 Dec 2010.

    Cited by:

    1. Bernardini, Emmanuela & Cubadda, Gianluca, 2015. "Macroeconomic forecasting and structural analysis through regularized reduced-rank regression," International Journal of Forecasting, Elsevier, vol. 31(3), pages 682-691.
    2. Christian Gayer & Alessandro Girardi & Andreas Reuter, 2016. "Replacing Judgment by Statistics: Constructing Consumer Confidence Indicators on the basis of Data-driven Techniques. The Case of the Euro Area," Working Papers LuissLab 16125, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    3. Götz, Thomas B. & Knetsch, Thomas A., 2019. "Google data in bridge equation models for German GDP," International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
    4. Gianluca Cubadda & Barbara Guardabascio & Alain Hecq, 2012. "A General to Specific Approach for Constructing Composite Business Cycle Indicators," CEIS Research Paper 224, Tor Vergata University, CEIS, revised 27 Feb 2012.
    5. Götz, T.B. & Hecq, A.W. & Smeekes, S., 2015. "Testing for Granger Causality in Large Mixed-Frequency VARs," Research Memorandum 036, Maastricht University, Graduate School of Business and Economics (GSBE).
    6. Gianluca Cubadda & Barbara Guardabascio, 2017. "Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model," CEIS Research Paper 397, Tor Vergata University, CEIS, revised 13 Jul 2018.
    7. Sonja Tilly & Giacomo Livan, 2021. "Macroeconomic forecasting with statistically validated knowledge graphs," Papers 2104.10457, arXiv.org.
    8. Shikha Gupta & Nand Kumar, 2022. "Globalization Versus Slowbalization: A Perspective on the Indian Economy," Journal of South Asian Development, , vol. 17(1), pages 84-107, April.
    9. A Fronzetti Colladon & B Guardabascio & R Innarella, 2021. "Using social network and semantic analysis to analyze online travel forums and forecast tourism demand," Papers 2105.07727, arXiv.org.

Articles

  1. Cubadda, Gianluca & Guardabascio, Barbara, 2019. "Representation, estimation and forecasting of the multivariate index-augmented autoregressive model," International Journal of Forecasting, Elsevier, vol. 35(1), pages 67-79.
    See citations under working paper version above.
  2. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2017. "A vector heterogeneous autoregressive index model for realized volatility measures," International Journal of Forecasting, Elsevier, vol. 33(2), pages 337-344.
    See citations under working paper version above.
  3. Barbara Guardabascio & Marco Ventura, 2014. "Estimating the dose–response function through a generalized linear model approach," Stata Journal, StataCorp LP, vol. 14(1), pages 141-158, March.

    Cited by:

    1. Michele Cecchini & Peter Smith, 2018. "Assessing the dose-response relationship between number of office-based visits and hospitalizations for patients with type II diabetes using generalized propensity score matching," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-11, December.
    2. Knar Khachatryan & Vardan Baghdasaryan & Valentina Hartarska, 2018. "Is the model loans-plus-savings better for microfinance in ECA? A PSM comparison," Working Paper c5a69366-4231-479c-879d-c, European Microfinance Network.
    3. Jonathan M. Turk, 2019. "Estimating the Impact of Developmental Education on Associate Degree Completion: A Dose–Response Approach," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(8), pages 1090-1112, December.
    4. Christopher Baum & Giovanni Cerulli, CNR-IRCrES, 2016. "Estimating a dose-response function with heterogeneous response to confounders when treatment is continuous and endogenous," EcoMod2016 9388, EcoMod.
    5. Steckenleiter, Carina & Lechner, Michael & Pawlowski, Tim & Schüttoff, Ute, 2019. "Do local public expenditures on sports facilities affect sports participation in Germany?," Economics Working Paper Series 1905, University of St. Gallen, School of Economics and Political Science.
    6. Mehdi Chowdhury & Dragana Radicic, 2019. "Remittances and Asset Accumulation in Bangladesh: A Study Using Generalised Propensity Score," Journal of International Development, John Wiley & Sons, Ltd., vol. 31(6), pages 475-494, August.
    7. Manuela Coromaldi & Alessandra Garbero & Marco Letta, 2019. "Recovering the counterfactual as part of ex-ante impact assessments: an application to the PASIDP – II project in Ethiopia," Economics Bulletin, AccessEcon, vol. 39(3), pages 1844-1854.
    8. Boschi, Melisso & Girardi, Alessandro & Ventura, Marco, 2014. "Partial credit guarantees and SMEs financing," Journal of Financial Stability, Elsevier, vol. 15(C), pages 182-194.
    9. Haji, Jema, 2022. "Impact of agricultural commercialization on child nutrition in Ethiopia," Food Policy, Elsevier, vol. 113(C).
    10. Takeshima, Hiroyuki & Nasir, Abdullahi Mohammed, 2019. "The Role of the Locations of Public Sector Varietal Development Activities on Agricultural Productivity: Evidence from Northern Nigeria," Feed the Future Innovation Lab for Food Security Policy Research Papers 303015, Michigan State University, Department of Agricultural, Food, and Resource Economics, Feed the Future Innovation Lab for Food Security (FSP).
    11. Kenneth Khoo & Jaclyn Neo, 2023. "Gender gaps in legal education: The impact of class participation assessments," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(4), pages 1070-1137, December.
    12. Bakucs, Zoltan L. & Ferto, Imre, 2017. "Success or Waste of Taxpayer Money? Impact Assessment of Rural Development Programs in Hungary," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259159, Agricultural and Applied Economics Association.
    13. Ogutu, Sylvester Ochieng & Goedecke, Theda & Qaim, Matin, 2017. "Agricultural Commercialization and Nutrition in Smallholder Farm Households," GlobalFood Discussion Papers 257242, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    14. Enrico Cristofoletti, 2021. "A Stata package for the estimation of the dose-response function when the treatment is multidimensional," DEM Working Papers 2021/07, Department of Economics and Management.
    15. Hottenrott, Hanna & Lawson, Cornelia, 2017. "Fishing for complementarities: Research grants and research productivity," International Journal of Industrial Organization, Elsevier, vol. 51(C), pages 1-38.
    16. Kwabena Nyarko Addai & John N. Ng’ombe & Simeon Kaitibie, 2022. "A Dose–Response Analysis of Rice Yield to Agrochemical Use in Ghana," Agriculture, MDPI, vol. 12(10), pages 1-15, September.
    17. Abdul-Hanan Abdallah & Awal Abdul-Rahaman & Gazali Issahaku, 2021. "Sustainable agricultural practices, farm income and food security among rural households in Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17668-17701, December.
    18. Chen, Jie & Pastore, Francesco, 2021. ""Study Hard and Make Progress Every Day": Updates on Returns to Education in China," IZA Discussion Papers 14139, Institute of Labor Economics (IZA).
    19. Ogutu, Sylvester Ochieng & Goedecke, Theda & Qaim, Matin, 2017. "Agricultural Commercialization and Nutrition in Smallholder Farm Households," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261285, European Association of Agricultural Economists.
    20. Nilsen, Øivind A. & Raknerud, Arvid & Iancu, Diana-Cristina, 2020. "Public R&D support and firm performance: A multivariate dose-response analysis," Research Policy, Elsevier, vol. 49(7).
    21. Lusi Yang & Zhiyi Wang & Jungpil Hahn, 2020. "Scarcity Strategy in Crowdfunding: An Empirical Exploration of Reward Limits," Information Systems Research, INFORMS, vol. 31(4), pages 1107-1131, December.

  4. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2013. "A general to specific approach for constructing composite business cycle indicators," Economic Modelling, Elsevier, vol. 33(C), pages 367-374.
    See citations under working paper version above.
  5. Cubadda, Gianluca & Guardabascio, Barbara, 2012. "A medium-N approach to macroeconomic forecasting," Economic Modelling, Elsevier, vol. 29(4), pages 1099-1105.
    See citations under working paper version above.

Software components

    Sorry, no citations of software components recorded.

More information

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Statistics

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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 6 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-ECM: Econometrics (6) 2010-12-18 2012-03-08 2013-03-16 2015-12-28 2016-07-30 2017-02-12. Author is listed
  2. NEP-ETS: Econometric Time Series (4) 2012-03-08 2015-12-28 2016-07-30 2017-02-12
  3. NEP-CBA: Central Banking (1) 2010-12-18
  4. NEP-FOR: Forecasting (1) 2017-02-12
  5. NEP-MAC: Macroeconomics (1) 2010-12-18
  6. NEP-ORE: Operations Research (1) 2017-02-12

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