Econometric Identification

Matthias Blum and Arcangelo Dimico

Chapter 45 in An Economist’s Guide to Economic History, 2018, pp 385-393 from Palgrave Macmillan

Abstract: 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.

JEL-codes: C01 C10 C31 C32 C33 C36 N01 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:pal:palscp:978-3-319-96568-0_45

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DOI: 10.1007/978-3-319-96568-0_45

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