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Working Paper
International trade and labor reallocation: misclassification errors, mobility, and switching costs
Over the last few decades, international trade has increased at a rapid pace, altering domestic production and labor demand in different sectors of the economy. A growing literature studies the heterogeneous effects of trade shocks on workers’ employment and on welfare when reallocation decisions are costly. The estimated effects critically depend on data on workers’ reallocation patterns, which is typically plagued with coding errors. In this paper, I study the consequences of misclassification errors for estimates of the labor market effects of international trade and show that ...
Working Paper
International trade and labor reallocation: misclassification errors, mobility, and switching costs
Over the last few decades, international trade has increased at a rapid pace, altering domestic production and labor demand in different sectors of the economy. A growing literature has studied the heterogeneous effects of trade shocks on workers’ industry and occupation employment and on welfare when reallocation decisions are costly. The estimated effects critically depend on data on workers’ reallocation patterns, which is typically plagued with coding errors. In this paper, I study the consequences of misclassification errors for estimates of the labor market effects of international ...
Working Paper
International trade and labor reallocation: misclassification errors, mobility, and switching costs
Over the last few decades, international trade has increased at a rapid pace, altering domestic production and labor demand in different sectors of the economy. A growing literature has studied the heterogeneous effects of trade shocks on workers’ industry and occupation employment and on welfare when reallocation decisions are costly. The estimated effects critically depend on data on workers’ reallocation patterns, which is typically plagued with coding errors. In this paper, I study the consequences of misclassification errors for estimates of the labor market effects of international ...
Working Paper
International trade and labor reallocation: misclassification errors, mobility, and switching costs
International trade has increased at a rapid pace in the last decades, altering production and labor demand in different sectors of the economy. The estimated effects of trade on employment and welfare critically depend on data about workers’ reallocation patterns, which is typically plagued with coding errors. I show that the estimated employment and welfare effects of international trade, and the estimated structural parameters of standard models are biased when the analysis uses data subject to misclassification errors. I develop an econometric framework to estimate misclassification ...
Report
Financial Transaction Taxes and the Informational Efficiency of Financial Markets: A Structural Estimation
We develop a new methodology to estimate the impact of a financial transaction tax (FTT) on financial market outcomes. In our sequential trading model, there are price-elastic noise and informed traders. We estimate the model through maximum likelihood for a sample of sixty New York Stock Exchange (NYSE) stocks in 2017. We quantify the effect of introducing an FTT given the parameter estimates. An FTT increases the proportion of informed trading, improves information aggregation, but lowers trading volume and welfare. For some less-liquid stocks, however, an FTT blocks private information ...
Working Paper
International trade and labor reallocation: misclassification errors, mobility, and switching costs
International trade has increased at a rapid pace in the last decades, altering production and labor demand in different sectors of the economy. The estimated effects of trade on employment and welfare critically depend on data about workers’ reallocation patterns, which is typically plagued with coding errors. I show that the estimated employment and welfare effects of international trade, and the estimated structural parameters of standard models are biased when the analysis uses data subject to misclassification errors. I develop an econometric framework to estimate misclassification ...