Chinaś experience under the Multifiber Arrangement (MFA) and the Agreement on Textiles and Clothing (ATC)
In: NBER working paper series 13346
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In: NBER working paper series 13346
In: Center discussion paper 919
In: NBER working paper series 11745
In: World Bank Policy Research Working Paper No. 8326
SSRN
Working paper
In: Journal of international economics, Band 79, Heft 1, S. 89-101
ISSN: 0022-1996
In: NBER Working Paper No. w12217
SSRN
In: NBER Working Paper No. w11745
SSRN
Working paper
In: World Bank Policy Research Working Paper No. 8325
SSRN
Working paper
In: Economia: journal of the Latin American and Caribbean Economic Association, Band 8, Heft 1, S. 133-139
ISSN: 1533-6239
In: ADBI Working Paper No. 629
SSRN
Working paper
In: Journal of international economics, Band 98, S. 21-35
ISSN: 0022-1996
In: The economic journal: the journal of the Royal Economic Society, Band 132, Heft 646, S. 2048-2074
ISSN: 1468-0297
Abstract
We explore how different investment frictions affect the patterns of responses of labour markets to tariff cuts. To investigate these patterns, we formulate a multi-sector dynamic model featuring capital and labour adjustment costs that we fit to Argentine data. Using counterfactual simulations of a tariff decline in the textile sector, we show that capital adjustment can create long-run responses of real wages that are larger than the short-run responses. This happens as textile firms disinvest during the transition. We also show that the reduction of tariffs on capital inputs boosts investment and real wages across sectors.
In: The Canadian journal of economics: the journal of the Canadian Economics Association = Revue canadienne d'économique, Band 52, Heft 2, S. 763-783
ISSN: 1540-5982
AbstractThis paper explores the link between exports and the demand for skilled tasks. Using the Chilean Encuesta Nacional Industrial Anual (ENIA), an annual census of manufacturing firms, we first show that Chilean exporters utilize more skills than Chilean non‐exporters. More importantly, we establish a distinct pattern of task differentiation among exporters both within skilled and unskilled tasks. Exporting firms demand the services of skilled specialized workers (engineers) as opposed to skilled administrative workers and managers. In addition, exporters demand less unskilled labour, especially blue‐collar operatives. This suggests that exporters substitute skilled engineers for unskilled blue‐collar workers to perform export‐related tasks.
This paper investigates differences in the composition of employment between exporting and non-exporting firms. In particular, it asks whether exporting firms hire more engineers relative to blue-collar workers than non-exporting firms. In a stylized partial-equilibrium model, firms produce goods of varying quality and exporters tend to produce higher quality goods, which are intensive in engineers relative to blue-collar workers. Firms are heterogeneous and more productive firms become exporters and have a higher demand for engineers. The paper provides causal evidence in support of these theories using the Chilean Encuesta Nacional Industrial Anual, an annual census of manufacturing firms. The results from an instrumental variable estimator suggest that Chilean exporters indeed utilize a higher share of engineers over blue-collar workers.
BASE
In: American economic review, Band 102, Heft 7, S. 3406-3438
ISSN: 1944-7981
This paper explores the links between exports, export destinations, and skill utilization. We identify two mechanisms behind these links: differences across destinations in quality valuation and in exporting required services, activities that are intensive in skilled labor. Depending on the characteristics of the source country (income, language), the theories suggest a skill-bias in export destinations. We test the theory using a panel of Argentine manufacturing firms. We find that Argentine firms exporting to high-income countries hired more skilled workers than other exporters and domestic firms. Instead, we cannot identify any causal effect of exporting per se on skill utilization. (JEL F14, F16, J24, L60, O14, O19)