Trade and Labor Market Dynamics: General Equilibrium Analysis of the China Trade Shock

Econometrica ◽  
2019 ◽  
Vol 87 (3) ◽  
pp. 741-835 ◽  
Author(s):  
Lorenzo Caliendo ◽  
Maximiliano Dvorkin ◽  
Fernando Parro
Keyword(s):  
Labor Markets ◽  
Equilibrium Analysis ◽  
Trade Model ◽  
China Trade ◽  
Transition Costs ◽  
Long Run ◽  
Labor Market Dynamics ◽  
And Migration ◽  
Labor Dynamics

We develop a dynamic trade model with spatially distinct labor markets facing varying exposure to international trade. The model captures the role of labor mobility frictions, goods mobility frictions, geographic factors, and input‐output linkages in determining equilibrium allocations. We show how to solve the equilibrium of the model and take the model to the data without assuming that the economy is at a steady state and without estimating productivities, migration frictions, or trade costs, which can be difficult to identify. We calibrate the model to 22 sectors, 38 countries, and 50 U.S. states. We study how the rise in China's trade for the period 2000 to 2007 impacted U.S. households across more than a thousand U.S. labor markets distinguished by sector and state. We find that the China trade shock resulted in a reduction of about 0.55 million U.S. manufacturing jobs, about 16% of the observed decline in manufacturing employment from 2000 to 2007. The U.S. gains in the aggregate, but due to trade and migration frictions, the welfare and employment effects vary across U.S. labor markets. Estimated transition costs to the new long‐run equilibrium are also heterogeneous and reflect the importance of accounting for labor dynamics.

scholarly journals Introduction: Migration and Differential Labour Market Participation

2017 ◽  
Vol 16 (4) ◽  
pp. 607-611 ◽  
Author(s):  
Gina Netto ◽  
Gary Craig
Keyword(s):  
Oecd Countries ◽  
Long Run ◽  
Native Workers ◽  
Labour Market Participation ◽  
The Us ◽  
And Migration ◽  
The Impact ◽  
Substantial Rise ◽  
The Eu

Recent major political developments, including Brexit and the US presidential elections, have been strongly associated with public concerns around levels of immigration. Much of this has centred on the role of migrants in the low-skilled sectors of the economy and concerns that they have displaced members of local communities from jobs and depressed wage levels. This is despite compelling evidence that immigrants rarely take jobs from native workers in OECD countries (Constant, 2014) and that in the long run, the wage and employment effects of immigration in the 1990s and in the 2000s were small and always positive for less educated workers of all OECD countries (Docquieret al., 2014). Recent UK specific studies have found that the impact on wages is considered to be relatively small (Dustmannet al., 2013; Nickell and Salaheen, 2015). Notwithstanding this evidence, hostility to migrants and migration more generally has become increasingly overt, as reflected in a substantial rise in ‘race’ hate crimes before and following the referendum on the UK's membership of the EU in 2016 (Burnett, 2017).

An Evolutionary Race to the Top: Trade, Oligopoly and Convex Pollution Damage

2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Matthew McGinty
Keyword(s):  
Free Trade Area ◽  
Race To The Top ◽  
Equilibrium Analysis ◽  
Tax Rates ◽  
Trade Area ◽  
Trade Model ◽  
Long Run ◽  
Pollution Damage ◽  
The Social ◽  
Partial Equilibrium Analysis

Abstract A two nation, two sector oligopoly trade model is presented in which one sector creates a negative production externality. Firms switch sectors in response to profit differentials until these are exhausted in the long run evolutionary equilibrium (EE). Under autarky, the optimal EE pollution tax is greater than standard partial equilibrium analysis since the output distortion associated with the tax is mitigated by firms migrating to the non-taxed sector. In a free trade area the pollution haven hypothesis is obtained when nations choose exogenous tax rates that differ. However, with endogenous taxation a prisoners' dilemma is obtained. The Nash equilibrium of the tax game exceeds the social planner's tax, generating a race to the top.

scholarly journals City Minimum Wages and Spatial Equilibrium Effects

2021 ◽  
Author(s):  
Jorge Perez Perez
Keyword(s):  
Labor Markets ◽  
Minimum Wage ◽  
The United States ◽  
Local Labor Markets ◽  
Spatial Equilibrium ◽  
High Minimum Wage ◽  
Percent Increase ◽  
And Migration ◽  
Wage Increases

Local minimum wage laws are becoming common across U.S. cities, and their effects may be different from the effects of state or national minimum wage policies. This paper studies the effect of changes in the minimum wage on spatial equilibriums in local labor markets. Using residence and workplace data for the United States, I analyze how commuting, residence, and employment locations change across city and state borders if the minimum wage changes on one side of the border. I find that areas in which the minimum wage increases receive fewer low-wage commuters. A 10 percent increase in the minimum wage reduces the inflow of low-wage commuters by about 2.5 percent. Rises in the minimum wage are also associated with employment relocation across borders toward areas that did not witness an increase in the minimum wage. I formulate a spatial equilibrium gravity model to explain the distribution of workers between low- and high-minimum wage areas. I calculate counterfactual equilibriums with a higher minimum wage for U.S. counties with cities considering an increase, highlighting the role of commuting and migration responses. About two-fifths of the counties considering increases would receive fewer low-wage commuters. Employment relocation away from high-minimum wage areas drives the commuting losses.

The Problem of Identifying and Modeling the Relationship between Monetary Factor and Inflation in the Russian Economy

2008 ◽  
pp. 61-76
Author(s):  
A. Porshakov ◽  
A. Ponomarenko
Keyword(s):  
Money Supply ◽  
Money Demand ◽  
Russian Economy ◽  
Long Run ◽  
Complex Approach ◽  
Wide Range ◽  
Long Time ◽  
The Relationship ◽  
Supply Side Factors

The role of monetary factor in generating inflationary processes in Russia has stimulated various debates in social and scientific circles for a relatively long time. The authors show that identification of the specificity of relationship between money and inflation requires a complex approach based on statistical modeling and involving a wide range of indicators relevant for the price changes in the economy. As a result a model of inflation for Russia implying the decomposition of inflation dynamics into demand-side and supply-side factors is suggested. The main conclusion drawn is that during the recent years the volume of inflationary pressures in the Russian economy has been determined by the deviation of money supply from money demand, rather than by money supply alone. At the same time, monetary factor has a long-run spread over time impact on inflation.

The Role of Technological Change in the Long-run Global Economy Forecasting

2013 ◽  
pp. 97-116 ◽  
Author(s):  
A. Apokin
Keyword(s):  
Technological Change ◽  
Data Quality ◽  
Long Range ◽  
Global Economy ◽  
World Economy ◽  
Qualitative Approaches ◽  
Long Run ◽  
The World ◽  
National Economies

The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

Role of microenvironment on proliferation and migration of an SDHB silenced murine Pheochromocytoma cell line

2017 ◽  
Author(s):  
Serena Martinelli ◽  
Vanessa D'Antongiovanni ◽  
Susan Richter ◽  
Letizia Canu ◽  
Tonino Ercolino ◽  
...  
Keyword(s):  
Cell Line ◽  
Pheochromocytoma Cell ◽  
And Migration ◽  
Proliferation And Migration

Glioblastoma invasion and NMDA receptors: A novel prospect

2019 ◽  
Vol 106 (3) ◽  
pp. 250-260 ◽  
Author(s):  
DN Nandakumar ◽  
P Ramaswamy ◽  
C Prasad ◽  
D Srinivas ◽  
K Goswami
Keyword(s):  
Glutamate Receptors ◽  
Cell Lines ◽  
Intracellular Signaling ◽  
Transcript Level ◽  
Glioblastoma Cells ◽  
Invasion And Migration ◽  
Matrigel Invasion ◽  
Nmdar Activation ◽  
And Migration

Purpose Glioblastoma cells create glutamate-rich tumor microenvironment, which initiates activation of ion channels and modulates downstream intracellular signaling. N-methyl-D-aspartate receptors (NMDARs; a type of glutamate receptors) have a high affinity for glutamate. The role of NMDAR activation on invasion of glioblastoma cells and the crosstalk with α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors (AMPARs) is yet to be explored. Main methods LN18, U251MG, and patient-derived glioblastoma cells were stimulated with NMDA to activate NMDAR glutamate receptors. The role of NMDAR activation on invasion and migration and its crosstalk with AMPAR were evaluated. Invasion and migration of glioblastoma cells were investigated by in vitro trans-well Matrigel invasion and trans-well migration assays, respectively. Expression of NMDARs and AMPARs at transcript level was evaluated by quantitative real-time polymerase chain reaction. Results We determined that NMDA stimulation leads to enhanced invasion in LN18, U251MG, and patient-derived glioblastoma cells, whereas inhibition of NMDAR using MK-801, a non-competitive antagonist of the NMDAR, significantly decreased the invasive capacity. Concordant with these findings, migration was significantly augmented by NMDAR in both cell lines. Furthermore, NMDA stimulation upregulated the expression of GluN2 and GluA1 subunits at the transcript level. Conclusions This study demonstrated the previously unexplored role of NMDAR in invasion of glioblastoma cells. Furthermore, the expression of the GluN2 subunit of NMDAR and the differential overexpression of the GluA1 subunit of AMPAR in both cell lines provide a plausible rationale of crosstalk between these calcium-permeable subunits in the glutamate-rich microenvironment of glioblastoma.

TRIM44 promotes cell proliferation and migration by inhibiting FRK in renal cell carcinoma

2020 ◽  
Author(s):  
Lungwani Muungo
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Proliferation ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Lymphatic Invasion ◽  
Cancer Specific Survival ◽  
Candidate Target ◽  
Candidate Target Gene ◽  
And Migration

TRIM44 has oncogenic roles in various cancers. However, TRIM44 expression andits function in renal cell carcinoma (RCC) are still unknown. Here in this study, weinvestigated the clinical significance of TRIM44 and its biological function in RCC.TRIM44 overexpression was significantly associated with clinical M stage, histologictype (clear cell) and presence of lymphatic invasion (P = .047, P = .005, and P = .028,respectively). Moreover, TRIM44 overexpression was significantly associated withpoor prognosis in terms of cancer-specific survival (P = .019). Gain-of-function andloss-of-function studies using TRIM44 and siTRIM44 transfection showed thatTRIM44 promotes cell proliferation and cell migration in two RCC cell lines, Caki1and 769P. To further investigate the role of TRIM44 in RCC, we performed integratedmicroarray analysis in Caki1 and 769P cells and explored the data in the Oncominedatabase. Interestingly, FRK was identified as a promising candidate target gene ofTRIM44, which was downregulated in RCC compared with normal renal tissues. Wefound that cell proliferation was inhibited by TRIM44 knockdown and then recoveredby siFRK treatment. Taken together, the present study revealed the associationbetween high expression of TRIM44 and poor prognosis in

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