-
作者：Einioe, Elias
作者单位：University of London; London School Economics & Political Science; University of London; London School Economics & Political Science
摘要：Despite the prevalence of R&D support programs, evaluation studies based on explicit differences in support allocation are rare. In this paper, the identification of the causal effect of R&D support on company performance is based on geographic variation in government funding arising from a population-density rule. I find positive impacts on R&D investment, employment, and sales among the participants who were granted an R&D subsidy as a result of additional aggregate R&D support funding in th...
-
作者：Bartelsman, Eric J.; Wolf, Zoltan
作者单位：Vrije Universiteit Amsterdam; Tinbergen Institute
摘要：In this paper, we explore whether information from firm-level data can improve forecasts of aggregate productivity growth. We generate firm-level productivity measures and aggregate them into time-series components that capture within-firm productivity and the productivity contribution of reallocation. We show that these components improve aggregate total factor productivity forecasts in a simple univariate setting, even when firm-level data are available with a time lag. Lagged firm-level inf...
-
作者：Francis, Neville; Owyang, Michael T.; Roush, Jennifer E.; DiCecio, Riccardo
作者单位：University of North Carolina; University of North Carolina Chapel Hill; Federal Reserve System - USA; Federal Reserve Bank - St. Louis; Federal Reserve System - USA
摘要：Recent studies using long-run restrictions question the validity of the technology-driven real business cycle hypothesis. We propose an alternative identification that maximizes the contribution of technology shocks to the forecast-error variance of labor productivity at a long but finite horizon. In small-sample Monte Carlo experiments, our identification outperforms standard long-run restrictions by significantly reducing the bias in the short-run impulse responses and raising their estimati...
-
作者：Ebenstein, Avraham; Harrison, Ann; McMillan, Margaret; Phillips, Shannon
作者单位：Hebrew University of Jerusalem; University of Pennsylvania; National Bureau of Economic Research; Tufts University; Boston College
摘要：We link industry-level data on trade and offshoring with individual-level worker data from the Current Population Surveys from 1984 to 2002. We find that occupational exposure to globalization is associated with significant wage effects, while industry exposure has no significant impact. We present evidence that globalization has put downward pressure on worker wages through the reallocation of workers away from higher-wage manufacturing jobs into other sectors and other occupations. Using a p...
