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Laura Liu

Personal Details

First Name:Laura
Middle Name:
Last Name:Liu
Suffix:
RePEc Short-ID:pli1251
https://laurayuliu.com/
Terminal Degree:2017 Department of Economics; University of Pennsylvania (from RePEc Genealogy)

Affiliation

Department of Economics
Indiana University

Bloomington, Indiana (United States)
https://economics.indiana.edu/
RePEc:edi:deiubus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Average Partial Effects in Semiparametric Binary Response Panel Models," Papers 2105.12891, arXiv.org, revised Jul 2021.
  2. Laura Liu & Mikkel Plagborg-Møller, 2021. "Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data," CAEPR Working Papers 2021-001 Classification- , Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  3. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2020. "Panel Forecasts of Country-Level Covid-19 Infectionsliu," CEPR Discussion Papers 14790, C.E.P.R. Discussion Papers.
  4. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Panel Forecasts of Country-Level Covid-19 Infections," NBER Working Papers 27248, National Bureau of Economic Research, Inc.
  5. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2019. "Forecasting with a Panel Tobit Model," CAEPR Working Papers 2019-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
  6. Laura Liu & Christian Matthes & Katerina Petrova, 2018. "Monetary Policy across Space and Time," Working Paper 18-14, Federal Reserve Bank of Richmond.
  7. Laura Liu, 2018. "Density Forecasts in Panel Data Models : A Semiparametric Bayesian Perspective," Finance and Economics Discussion Series 2018-036, Board of Governors of the Federal Reserve System (U.S.).
  8. Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
  9. Diebold, Francis X. & Liu, Laura & Yilmaz, Kamil, 2017. "Commodity connectedness," CFS Working Paper Series 575, Center for Financial Studies (CFS).
  10. Laura Liu & Hyungsik Moon & Frank Schorfheide, 2016. "Forecasting with Dynamic Panel Data Models," PIER Working Paper Archive 16-022, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 21 Dec 2016.
  11. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2015. "Estimating Global Bank Network Connectedness," PIER Working Paper Archive 15-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Jul 2015.

    repec:pri:econom:2021-68 is not listed on IDEAS

Articles

  1. Evans, D.L. & Falagán, N. & Hardman, C.A. & Kourmpetli, S. & Liu, L. & Mead, B.R. & Davies, J.A.C., 2022. "Ecosystem service delivery by urban agriculture and green infrastructure – a systematic review," Ecosystem Services, Elsevier, vol. 54(C).
  2. Liu, Laura & Moon, Hyungsik Roger & Schorfheide, Frank, 2021. "Panel forecasts of country-level Covid-19 infections," Journal of Econometrics, Elsevier, vol. 220(1), pages 2-22.
  3. Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2020. "Forecasting With Dynamic Panel Data Models," Econometrica, Econometric Society, vol. 88(1), pages 171-201, January.
  4. Laura Liu & Christian Matthes & Katerina Petrova & Jessica Sackett Romero, 2019. "Monetary Policy across Space and Time," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue August.
  5. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.

Chapters

  1. Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Commodity Connectedness," Central Banking, Analysis, and Economic Policies Book Series, in: Enrique G. Mendoza & Ernesto Pastén & Diego Saravia (ed.),Monetary Policy and Global Spillovers: Mechanisms, Effects and Policy Measures, edition 1, volume 25, chapter 4, pages 097-136, Central Bank of Chile.

More information

Research fields, statistics, top rankings, if available.

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 22 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-FOR: Forecasting (12) 2017-10-08 2018-05-28 2018-06-18 2018-09-03 2018-09-03 2018-10-15 2019-12-23 2020-02-03 2020-07-13 2020-12-21 2021-06-28 2021-11-29. Author is listed
  2. NEP-ORE: Operations Research (10) 2018-06-18 2018-09-03 2019-12-23 2020-02-03 2020-07-13 2020-12-21 2021-01-25 2021-06-28 2021-09-27 2022-03-21. Author is listed
  3. NEP-BAN: Banking (6) 2015-08-19 2017-02-26 2019-12-23 2020-02-03 2021-11-29 2022-03-21. Author is listed
  4. NEP-ECM: Econometrics (6) 2017-10-08 2018-05-28 2018-09-03 2019-12-23 2021-01-25 2021-05-31. Author is listed
  5. NEP-NET: Network Economics (5) 2015-08-19 2017-02-26 2017-08-27 2017-10-22 2018-09-03. Author is listed
  6. NEP-ETS: Econometric Time Series (2) 2017-10-08 2018-09-03
  7. NEP-CBA: Central Banking (1) 2018-10-15
  8. NEP-CTA: Contract Theory & Applications (1) 2017-10-22
  9. NEP-DCM: Discrete Choice Models (1) 2021-05-31
  10. NEP-DGE: Dynamic General Equilibrium (1) 2021-09-27
  11. NEP-EEC: European Economics (1) 2018-10-15
  12. NEP-ISF: Islamic Finance (1) 2021-09-27
  13. NEP-MON: Monetary Economics (1) 2018-10-15

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