Image from Google Jackets

Specialization, Market Access and Real Income / Dominick Bartelme, Ting Lan, Andrei A. Levchenko.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w28274.Publication details: Cambridge, Mass. National Bureau of Economic Research 2020.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
  • Hardcopy version available to institutional subscribers
Abstract: This paper estimates the impact of external demand shocks on real income. Our empirical strategy is based on a first order approximation to a wide class of small open economy models that feature sector-level gravity in trade flows. The framework allows us to measure foreign shocks and characterize their impact on income in terms of reduced-form elasticities. We use machine learning techniques to group 4-digit manufacturing sectors into a smaller number of clusters, and show that the cluster-level elasticities of income with respect to foreign shocks can be estimated using high-dimensional statistical techniques. We find clear evidence of heterogeneity in the income responses to different foreign shocks. Foreign demand shocks in complex intermediate and capital goods have large positive impacts on real income, whereas impacts in other sectors are negligible. The estimates imply that the pattern of sectoral specialization plays a quantitatively large role in how foreign shocks affect real income, while geographic position plays a smaller role. Finally, a calibrated multi-sector production and trade model can rationalize both the average and the heterogeneity in real income elasticities to foreign shocks under reasonable values of structural parameters.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

December 2020.

This paper estimates the impact of external demand shocks on real income. Our empirical strategy is based on a first order approximation to a wide class of small open economy models that feature sector-level gravity in trade flows. The framework allows us to measure foreign shocks and characterize their impact on income in terms of reduced-form elasticities. We use machine learning techniques to group 4-digit manufacturing sectors into a smaller number of clusters, and show that the cluster-level elasticities of income with respect to foreign shocks can be estimated using high-dimensional statistical techniques. We find clear evidence of heterogeneity in the income responses to different foreign shocks. Foreign demand shocks in complex intermediate and capital goods have large positive impacts on real income, whereas impacts in other sectors are negligible. The estimates imply that the pattern of sectoral specialization plays a quantitatively large role in how foreign shocks affect real income, while geographic position plays a smaller role. Finally, a calibrated multi-sector production and trade model can rationalize both the average and the heterogeneity in real income elasticities to foreign shocks under reasonable values of structural parameters.

Hardcopy version available to institutional subscribers

System requirements: Adobe [Acrobat] Reader required for PDF files.

Mode of access: World Wide Web.

Print version record

There are no comments on this title.

to post a comment.

Powered by Koha