Estimating fiscal multipliers with correlated heterogeneity /

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Bibliographic Details
Author / Creator:Kitsios, Emmanouil, (IMF staff), author.
Imprint:[Washington, D.C.] : International Monetary Fund, 2016.
Description:1 online resource (51 pages) : color illustrations.
Language:English
Series:IMF working paper ; WP/16/13
IMF working paper ; WP/16/13.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12505697
Hidden Bibliographic Details
Other authors / contributors:Patnam, Manasa, author.
International Monetary Fund. Research Department, issuing body.
ISBN:1498349625
9781498349628
1498389805
9781498389808
ISSN:1018-5941
Notes:"February 2016."
"Research Department."
Includes bibliographical references (pages 31-34).
Online resource; title from pdf title page (IMF.org Web site, viewed February 8, 2016).
Summary:We estimate the average fiscal multiplier, allowing multipliers to be heterogeneous across countries or over time and correlated with the size of government spending. We demonstrate that this form of nonseparable unobserved heterogeneity is empirically relevant and address it by estimating a correlated random coefficient model. Using a panel dataset of 127 countries over the period 1994-2011, we show that not accounting for omitted heterogeneity produces a significant downward bias in conventional multiplier estimates. We rely on both crosssectional and time-series variation in spending shocks, exploiting the differential effects of oil price shocks on fuel subsidies, to identify the average government spending multiplier. Our estimates of the average multiplier range between 1.4 and 1.6. --Abstract.
Other form:Print Version: Kitsios, Emmanouil Estimating Fiscal Multipliers with Correlated Heterogeneity Washington, D.C. : International Monetary Fund,2016 9781498389808
Standard no.:10.5089/9781498389808.001
Table of Contents:
  • Cover; Contents; I. Introduction; II. Empirical identification with heterogeneity; A. Identification using panel data; B. Identification using panel data and instrumental variables; C. Identifying instrument: Fuel subsidies and oil price shocks; D. Identifying conditions and estimation; III. Data sources; IV. Results; V. Robustness checks; A. Inference and outliers; B. Instrument validity; VI. Quantile estimates of the fiscal multiplier; VII. Conclusions; References; VIII. Appendix; A. Motivation for heterogeneity; B. Identification and estimation of the CRC model; Tables.
  • 1. Summary Statistics2. Transition Matrix for Gasoline and Diesel Subsidy; 3. Descriptive Tests for Heterogeneity; 4. Elasticity of GDP to Government Spending: CRC Model Estimates; 5. Fiscal Multiplier Estimates (1/2); 6. Fiscal Multiplier Estimates (2/2); 7. Robustness; 8. Instrument Validity; Figures; 1. Retail price of gasoline and diesel in 2010; 2. Times series plot of international and domestic oil prices; 3. Changes in oil prices and government expenditure by fuel subsidy regime; 4. Quantile estimates of the fiscal multiplier (OLS and IV).