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Prikvačeni tweet
Call for Papers - please RT
Clare Balboni (MIT) and I are organizing a Quantitative Spatial Economics Junior Workshop in Princeton on May 8 and 9, 2020.
We invite submission of quantiative work on a wide range of spatial topics.
Full call at http://www.fpeckert.me/qse or
pic.twitter.com/tW1yE8rwkJ
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Fabian Eckert proslijedio/la je Tweet
Amsterdam and other global superstar cities are losing population, as housing costs soar and telecommuting becomes easier https://trib.al/Mxw3XFi pic.twitter.com/a6VFGkaUOJ
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Fabian Eckert proslijedio/la je Tweet
It is great that additional researchers such as
@fpeckert@Tfpiasecki@pkscott and@NatJYang are trying to improve local labor market data by overcoming suppressions in County Business Patterns.https://twitter.com/fpeckert/status/1217080562676092929 …
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Fabian Eckert proslijedio/la je Tweet
A linear programming method to impute missing employment in the US County Business Patterns data. A data appendix provides the raw files, code, and imputed employment, from
@fpeckert, Teresa C. Fort, Peter K. Schott, and Natalie J. Yang https://www.nber.org/papers/w26632 pic.twitter.com/K4ODi3mtHD
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Fabian Eckert proslijedio/la je Tweet
Kudos to
@fpeckert@Tfpiasecki@pkschott@NatJYang for the great data work & for making it so easy to access! :)https://twitter.com/fpeckert/status/1217080562676092929 …
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Fabian Eckert proslijedio/la je Tweet
Thanks to all speakers and participants for a wonderful workshop. And thanks for the generous support of
@HSGStGallen@snsf_ch@unibern@UZH_en that has made this workshop possible#swissmacropic.twitter.com/0I8YHGWQrz
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Fabian Eckert proslijedio/la je Tweet
Very useful augmented County Business Patterns data by
@fpeckert,@Tfpiasecki,@pkschott &@NatJYang, carefully imputing suppressed data & making industries consistent. Great public service, thank youhttps://twitter.com/fpeckert/status/1217080562676092929 …
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BTW:
@NatJYang applied for Econ PhDs recently! I knew her as a prolific Yale undergrad & have seen her become even more skilled working for Richard Hornbeck at@ChicagoBooth for 2 years. She is VERY well prepared - consider making her an offer!https://twitter.com/fpeckert/status/1217080562676092929 …
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Fabian Eckert proslijedio/la je Tweet
Come for the evidence, stay for the q-theory... In our new WP with Rodrigo and Nitya we explain why some technological transitions are particularly unequal and slow to play out. Ungated: https://economics.mit.edu/files/17947 https://twitter.com/nberpubs/status/1216442219776757760 …
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Fabian Eckert proslijedio/la je Tweet
Check out new, publicly available data on US employment by county and year from 1977 to 2016! Cleaned files with missing values filled in and concorded to a single industry classification system. Enjoy!https://twitter.com/fpeckert/status/1217080562676092929 …
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Fabian Eckert proslijedio/la je Tweet
Anyone who’s used the County Business Patterns knows how frustrating cell suppression can be. New resource cleverly exploits the data structure to recover some of the missing information!https://twitter.com/fpeckert/status/1217080562676092929 …
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[All imputations in this paper are to assist researchers in conducting statistical analyses and impart no information about the underlying firms in counties or industries with suppressed data.] [N/N]
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The raw and imputed data sets, our code, & industry concordances are available in the data appendix to our paper at http://www.fpeckert.me/cbp . We thank Udit Jain & Yunus Tuncbilek for outstanding research assistance, and
@YaleEconomics for financial support. [5/N]Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
On (2): We build on
@Tfpiasecki and@shawndklimek’s earlier work to provide CBP-specific industry concordances. The concordances map the different SIC & NAICS industry code vintages used in the CBP to a consistent NAICS 2012 basis. [4/N]Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
On (1): Each CBP edition contains three files which record national, state, and county employment by industry. We develop a linear programming method that exploits adding-up constraints implicit in the hierarchical arrangement of the data to impute missing employment. [3/N]
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The US Census’ CBP files track employment by county+industry from 1946 to 2017. Two features limit their use in research: (1) Employment for a majority of county+industry cells is suppressed to protect confidentiality. (2) Industry classifications change every 5 years. [2/N]
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New Data Resource/Please RT!
@Tfpiasecki@pkschott@NatJYang & I augmented the County Business Patterns (CBP) data to facilitate research. CBP = most detailed public data source on the spatial industrial structure of the US. Data: http://www.fpeckert.me/cbp . Details
[1/N]pic.twitter.com/hLajP75ByA
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Fabian Eckert proslijedio/la je Tweet
My team shows that complex economic activities increasingly concentrate in large cities
@NatureHumBehav. Spatial inequality is a defining feature of complex economic systems. It's time to re-think policy actions for the 4th industrial revolution. https://tinyurl.com/vmfrw3c pic.twitter.com/qWzl3i4pUT
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Fabian Eckert proslijedio/la je Tweet
... A single acronym can explain growing wage disparities and agglomeration effects in the US (by
@fpeckert)pic.twitter.com/jvd8ilFRXy
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Fabian Eckert proslijedio/la je Tweet
Superstars in the age of information: how high skill bias + declining communication costs contribute to growing inequality.
#MinneapolisFed’s Doug Clement explores recent research from#OIGI by@fpeckert http://ow.ly/ywoQ50xGPGU cc:@AbigailWozniak@afogli001pic.twitter.com/TapFNRdUJs
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Fabian Eckert proslijedio/la je Tweet
Consider this the first of MANY future tweets--if you do work on inequality/mobility, please consider submitting to this conference--it should be a great group! We particularly welcome submissions by junior researchers. (No NBER affiliation needed!) https://www.nber.org/callforpapers/2020economics_mobility.html …
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