PPML_PANEL_SG: Stata module to estimate "structural gravity" models via Poisson PML

Thomas Zylkin

Statistical Software Components from Boston College Department of Economics

Abstract: ppml_panel_sg is a "fast" Poisson Pseudo-maximum Likelihood estimation command for use with international data and other types of spatial flows. It is specifically designed to alleviate the computational burden of the many fixed effects required by structural gravity models, particularly the many "pair" fixed effects that are required in order to consistently estimate the effects of trade policies in panel settings. Key features include a check to verify the existence of estimates, the allowance for pair-specific time trends, and the ability to store fixed effects post-estimation for use in structural work.

Language: Stata
Requires: Stata version 11.2, hdfe and reghdfe from SSC (q.v.)
Keywords: structural gravity; trade; Poisson; pseudo-ML (search for similar items in EconPapers)
Date: 2016-10-13, Revised 2018-12-04
Note: This module should be installed from within Stata by typing "ssc install ppml_panel_sg". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/p/ppml_panel_sg.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/p/ppml_panel_sg.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/p/ppml_panel_sg.do sample do-file (text/plain)
http://fmwww.bc.edu/repec/bocode/e/EXAMPLE_TRADE_FTA_DATA.dta sample data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/p/ppml_panel_sg.pdf documentation (application/pdf)
http://fmwww.bc.edu/repec/bocode/t/TheCurrencyUnionEffectWP.pdf documentation (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458249

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().