Grants - AWARD SUMMARY


NATIONAL BUREAU OF ECONOMIC RESEARCH, INC.


Intellectual Merit of the Proposed Activity Traditionally, the key intellectual framework for examining the distributional consequences of trade has been the Stolper-Samuelson Theorem of the Heckscher-Ohlin model. Recently, however, several limitations have emerged concerning the use of this model as a framework for understanding the distributional consequences of trade liberalization. In particular, while the Stolper-Samuelson Theorem emphasizes the return to skills as the prime driver of income inequality, a substantial component of the recent rise in income inequality is accounted for by residual wage inequality that is unexplained by observed personal characteristics. Motivated by empirical evidence from micro datasets on firms and workers, the PI's have developed an alternative theoretical framework for examining the distributional consequences of trade liberalization. Their approach incorporates three key features that together enable one to better address the limitations of the neoclassical model: (1) heterogeneity in productivity across firms; (2) heterogeneity in unobserved ability across workers; (3) search and matching frictions in the labor market. The combination of these three features generates residual wage inequality and unemployment that helps in matching the patterns observed in the data. In this proposal the PI's plan to develop our research on the distributional consequences of globalization in three major directions. First, they propose to generalize their framework in order to allow for idiosyncratic risk faced by individual workers (which is assumed to be perfectly diversified within families in their previous work). This will allow them to study more realistic general equilibrium implications of globalization, and in particular its impact on earning volatility and occupational risk that is of major concern to policy makers. Second, they propose to examine empirical predictions of their theoretical framework using matched employee-employer trade data for Brazil and Sweden. In particular, they will use the model to study the impact of trade liberalization on inequality and unemployment. Third, the PI's will generalize their model to a dynamic framework in order to study the time pattern of reallocation of workers over time in response to trade liberalization: (1) across firms; (2) across industries; and (3) between employment and unemployment. Broader Impacts of the Proposed Activity This project will contribute to a better understanding of globalization, emphasizing individual income risks on the one hand and the required reallocation of workers across firms and industries on the other. It will also provide an analytical framework and a quantitative assessment of the impact of trade liberalization on inequality and unemployment, which are of major concern to policy makers.

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AWARD OVERVIEW

AWARD OVERVIEW
Award Number 0920955 Funding Agency National Science Foundation
Total Award Amount $608,400 Project Location - City Cambridge
Award Date 08/04/2009 Project Location - State MA
Project Status More than 50% Completed Project Location - Zip 02138-5398
Jobs Reported 0.00 Congressional District 05
Project Location - Country US

Recipient Information (Grants)

Recipient Information (Grants)
Recipient Name NATIONAL BUREAU OF ECONOMIC RESEARCH, INC.
Recipient DUNS Number 054552435
Recipient Address 1050 MASSACHUSETTS AVE
Recipient City CAMBRIDGE
Recipient State Massachusetts
Recipient Zip 02138-5359
Recipient Congressional District 05
Recipient Country USA
Required to Report Top 5
Highly Compensated Officials
No

Projects and Jobs Information

Projects and Jobs Information
Project Title Risk and Inequality in a Global Economy
Project Status More than 50% Completed
Final Project Report Submitted No
Project Activities Description Research Institutes & Public Policy Analysis
Quarterly Activities/Project Description We have now published a paper on interdependence across countries in the presence of labor market frictions (Review of Economic Studies), another paper on the impact of trade on inequality and unemployment including a discussion of income risks (Econometrica), and a third paper on the effects of trade on workers with different abilities (Journal of the European Economic Association). We have also completed a paper that explores policy issues. In particular, the effectiveness of labor market policies in the presence of trade and labor market frictions, as well as policies that implement constrained Pareto efficient allocations. This paper will appear in a volume of the World Congress of the Econometric Society. In addition, we have done a lot of progress on the empirical project. We have completed a draft of the empirical paper, which has been widely circulated, presented in seminars and conferences, and we have submitted it to a journal for possible publication. As of now, we are working on revising this paper. We collaborate with Marc Muendler on the revision. The revision is almost completed and we hope to submit it soon. We have also made progress on the analysis of Swedish data. We presented this paper at the AEA meetings in January 2013 and prepared a final draft that will be published in the American Economic Review, Papers and Proceedings.
Jobs Created 0.00
Description of Jobs Created The Principal Investigators will share responsibilities for (a) Theoretical modeling of globalization and risk, (b) estimation of the model of globalization, ( c) theoretical analysis of the dynamic response of employment and wages to trade liberalization, (d) estimation of the response of employment and wages to trade liberalization. The RAs have uploaded the data on a server that has been acquired for this project and have prepared the data for statistical analysis. They experimented with alternative estimators. They also performed a decomposition of wage inequality into between and within sectoral variations and into between and within occupational and firm variations. One of them has also helped us developing the statistical procedure for estimating the semistructural model. We have now estimated the model with the Brazilian data and we are working on a revision. We also completed an analysis of the Swedish data that is comparable to the reduced form analysis of the Brazilian data.


Purchaser Information (Grants)

Purchaser Information
Contracting Office ID Not Reported
Contracting Office Name Not Available
Contracting Office Region Not Available
TAS Major Program 49-0101

Award Information

Award Information
Award Date 08/04/2009
Award Number 0920955
Order Number
Award Type Grants
Funding Agency ID 49
Funding Agency Name National Science Foundation
Funding Office Name Not Available
Awarding Agency ID 49
Awarding Agency Name National Science Foundation
Amount of Award $608,400
Funds Invoiced/Received $469,587
Expenditure Amount $469,587
Infrastructure Expenditure Amount $0
Infrastructure Purpose and Rationale Not Reported
Infrastructure Point of Contact Name Not Reported
Infrastructure Point of Contact Email Not Reported
Infrastructure Point of Contact Phone Not Reported
Infrastructure Point of Contact Address Not Reported
Infrastructure Point of Contact City Not Reported
Infrastructure Point of Contact State Not Reported
Infrastructure Point of Contact Zip Not Reported

Product or Service Information (Grants)

Product or Service Information
Primary Activity Code V05 - NTEE
Activity Description Research Institutes & Public Policy Analysis

Sub-Awards Information

Sub-Awards Information
Sub-awards to Organizations 0
Sub-award Amounts to Organizations $0
Sub-Awards to Individuals 0
Sub-Award Amounts to Individuals $0
Number of Sub-awards less than $25,000/award 0
Amount of Sub-awards less than $25,000/award $0
Number of payments to vendors greater than $25,000 0
Total Amount of payments to vendors greater than $25,000/award $0
Number of payments to vendors less than $25,000/award 64
Total Amount of payments to vendors less than $25,000/award $18,226







Project Location Detail

Location Information
Latitude, Longitude 42º 22' 47", -71º 8' 2"
Congressional District 05
Address 1 1050 Massachusetts Avenue
Address 2
City Cambridge
County Middlesex
State MA
Zip 02138-5398
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