990 resultados para industry concentration


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Pós-graduação em Agronomia - FEIS

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This dissertation studies the political economy of trade policy in a developing country, namely Turkey, under different economic and political regimes. The research analyzes the effects of these different regimes on the import structure, the trade policy and the industrialization process in Turkey and derives implications for aggregate welfare. ^ In the second chapter, the effects of trade liberalization policies on import demand are examined. Using disaggregated industry-level data, import demand elasticities for various sectors have been computed, analyzed under different economic regimes, and compared with those of developed countries. The results are statistically significant and reliable, and conform to the predictions of economic theory. Estimation of these elasticities is also a necessary ingredient for the third chapter of the dissertation. ^ The third chapter examines the predictions of the state-of-the-art “Protection For Sale” model of Grossman and Helpman (1994). Employing advanced econometric methods and a unique data set, strong support is found for the fundamental predictions of the model in the context of Turkey. Specifically, the government is found to attach a much higher weight to social welfare than to political contributions. This weight is higher under the democratic regime than under the dictatorship, a result potentially of interest to all researchers in the area of political economy. ^ The fourth chapter looks at the effects of industry concentration and import price shocks on protection, promotion and the choice of policy instruments in Turkey. In this context, it examines and finds support for the predictions of some well-known models in the literature. ^

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In this dissertation, I explore how workers’ human capital, local industry composition, and business cycles affect employment outcomes and residential migration for job losers and other workers. I first examine whether the poor employment outcomes of job losers are due to a lack of jobs that require their human capital within their local labor market. I answer this question by analyzing the extent to which the industry composition in the job loser’s local labor market affects employment outcomes when job loss occurs during expansions and during recessions. I find that if job losers reside in an area with a high employment concentration of their original industry of employment, they are 2.1-2.8 percent more likely to be re-employed at another job if job loss occurs during an expansion; I find an insignificant relationship in most specifications when job loss occurs during a recession, and in some specifications I even find a negative relationship between industry concentration and employment. I conclude that the industry composition within an area matters for job losers, since firms are more willing to hire workers from within their own industry, as these workers have more relevant accumulated human capital. However, firms are less likely to hire during a recession, making job losers’ human capital less important for job finding. Next, Erika McEntarfer, Henry Hyatt, and I examine whether the business cycle affects earnings changes for job losers, and the factors that explain these differences across time. We find that job losers who lost their job during the Great Recession have earnings changes that are 10 percent more negative relative to other job losers from other periods. This result is driven primarily by longer nonemployment lengths and worse subsequent job matches. Finally, Erika McEntarfer, Henry Hyatt, Alexandria Zhang, and I explore the extent to which residential migration is driven by job opportunities. We use four databases and find that changes in job moves explain some of the changes in residential migration, but the relationship is not as strong as previously documented. We find that migration patterns differ across databases, with some databases documenting steeper declines and more cyclicality.

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We examine stock return predictability for India and find strong evidence of sectoral return predictability over market return predictability. We show that mean-variance investors make statistically significant and economically meaningful profits by tracking financial ratios. For the first time in this literature, we examine the determinants of time-varying predictability and mean-variance profits. We show that both expected and unexpected shocks emanating from most financial ratios explain sectoral return predictability and profits. These are fresh contributions to the understanding of asset pricing.

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The global banking industry has seen dramatic changes in the past 40 years. Most recently, the financial liberalization of emerging markets and the global financial crisis have significantly impacted the market share of banks worldwide. This article investigates the impact of the 2007–2008 financial crisis on cross-border mergers and acquisitions (M&As) in the banking sector and emphasizes the role of emerging-market banks in the postcrisis consolidation trend. Using M&A data and concentration data over the period 2000–2013, our analysis indicates that the financial crisis had a significant impact on worldwide M&As, especially on the direction of the transactions. Emerging-market banks appear to be major acquirers in the postcrisis period, targeting both neighboring countries and developed economies in Europe. We also observe an increase in bank concentration in developed markets most hit by the financial crisis, especially in the United States and the United Kingdom, whereas bank concentration decreased in emerging markets.