A Two-Sector Approach to Modeling U.S. NIPA Data
A Two-Sector Approach to Modeling U.S. NIPA Data
复制标题
美国 NIPA 数据建模的两部门方法
DOI：
10.17016/feds.2001.04
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Karl Whelan
中科院分区：
文献类型：
--
作者：
Karl Whelan
单一部门的索洛-拉姆齐模型是最受欢迎的长期经济增长模型。本文认为，两部门方法，即耐用品生产的技术进步超过经济其他领域的技术进步，可以更好地描述美国经济的长期行为。本文展示了如何使用两向量法对当前美国国民收入和生产总值账户中的实际链式聚集变量进行建模。研究表明，从长远来看，每个主要链条--产出、消费、投资和资本存量--都将以稳定但不同的速度增长。本文还探讨了基于这些数据进行实证分析的意义。
The one-sector Solow–Ramsey model is the most popular model of longrun economic growth. This paper argues that a two-sector approach, in which technological progress in the production of durable goods exceeds that in the rest of the economy, provides a far better picture of the longrun behavior of the U.S. economy. The paper shows how to use the twosector approach to model the real chain-aggregated variables currently featured in the U.S. National Income and Product Accounts. It is shown that each of the major chain-aggregates—output, consumption, investment, and capital stock—will tend in the long run to grow at steady, but different, rates. Implications for empirical analysis based on these data are explored.