Abstract
Econometric identification is essential to distinguish cause, effect and correlation in econometric studies. This chapter discusses some of the most common econometric techniques used in economic history today, including a series of examples, areas of application, advantages and caveats. Techniques discussed include ordinary least squares regression, time series analysis, regression discontinuity designs, placebo regressions and instrumental variable approaches.
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CITATION STYLE
Blum, M., & Dimico, A. (2018). Econometric Identification. In An Economist’s Guide to Economic History (pp. 385–393). Springer International Publishing. https://doi.org/10.1007/978-3-319-96568-0_45
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