英文文献：Economic Impact Estimation Using Bootstrap Samples Obtained From Internet And Intercept Survey Data-经济影响估计使用Bootstrap样本从互联网和拦截调查数据
英文文献作者：Devkota, Nirmala,Fannin, James Matthew,Paudel, Krishna P.
英文文献摘要：
One of the challenges in estimating economic impacts of recreational activity and natural resource use is collecting survey data when the underlying population is not perfectly known. We combine bootstrapping techniques with input output analysis to estimate impacts from recreational activity at a barrier island in Louisiana. Per capita expenditure point estimates are bootstrapped and the 1,000 bootstrapped samples are shocked into an input output model to develop confidence intervals of economic impacts between the two surveys. Results show that for many sectors of the economy, confidence intervals do not overlap between survey modes. These results suggest that researchers using multiple survey modes should think carefully about how both the mode and potential underlying differences in population may affect economic impact results.

估计娱乐活动和自然资源使用的经济影响的挑战之一是在根本人口还不完全清楚的情况下收集调查数据。我们结合自举技术和输入输出分析来评估路易斯安那州堰洲岛休闲活动的影响。通过bootstrap估计人均支出点，并将1000个bootstrap样本震惊到一个投入产出模型中，以建立两次调查之间经济影响的置信区间。结果显示，对于许多经济部门，调查模式之间的置信区间不重叠。这些结果提示使用多种调查模式的研究者应该仔细考虑模式和潜在的人口差异如何影响经济影响结果。