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The purpose of this Initiative is to generate industry-level data on outputs, inputs, and productivity.
This study provided industry-level data sets for the countries of the European Union.
The Third World KLEMS Conference included reports on new industry-level data sets for India and Russia.
Industry-level data have been proved to be indispensable for analyzing the sources of economic growth for countries around the world.
(Were they able to use output per hour, for which not enough industry-level data are available, the gains from deregulation might look a bit smaller).
Using industry-level data from the Japanese manufacturing sector, we empirically test the relations between the demand for temporary and permanent workers and economic globalization and find that they support most of our theoretical predictions.
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Several data sources were used to construct the trade and industry level data used in the analysis.
The OECD database on Maritime Transport Costs (OECD 2015) provides annual data at the industry-level, but data are not available for country pairs, i.e., EU-15 is treated as an entity for imports and exports.
To evaluate our predictions we develop novel measures of industry-specific interests by cross-referencing individuals' sectors of employment and objective industry-level pollution data and employing quasi-behavioral measures of social norms in combination with both correlational and conjoint-experimental data.
In Section 4 we illustrate the KLEMS methodology for a single country by summarizing the industry-level productivity data for the United States for the period 1947-2012 compiled by Jorgenson, Ho, and Samuels (2016).
Holden and Wulfsberg (2008) find no significant evidence of nominal wage cuts in Spain using industry-level wage data for 19 oecd countries during the period 1973 1999.
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