New PDF release: Causal Inference in Econometrics

By Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta

ISBN-10: 3319272837

ISBN-13: 9783319272832

This e-book is dedicated to the research of causal inference which  is among the such a lot tough initiatives in info research: whilst phenomena are saw to be comparable, it is usually tricky to come to a decision even if one in all them causally affects the opposite one, or even if those phenomena have a typical reason. This research is the main target of this quantity.

To get a superb figuring out of the causal inference, you will need to have types of financial phenomena that are as actual as attainable. due to this desire, this quantity additionally includes papers that use non-traditional fiscal types, corresponding to fuzzy types and versions received by utilizing neural networks and information mining recommendations. It additionally comprises papers that follow varied econometric types to investigate real-life monetary dependencies.

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Extra resources for Causal Inference in Econometrics

Sample text

Marketing margins (the difference between what it costs an individual or firm to produce a good or service and what revenue it receives from its sale) tend to comprise a substantial proportion of the retail prices of agricultural products. This is especially so where agricultural industries rely on export markets as a destination for a significant part of their output. Furthermore, smallholders are not uniformly distributed in rural areas; there is often a high degree of clustering, which may vary according to the product being produced.

Almost any variable of importance that affects the value of a parcel of land or its likelihood of conversion will be highly correlated with its neighbor’s. There are as yet no satisfactory solutions to the problem of spatial autocorrelation in discrete choice models [12]. Methodological advances have since provided solutions to a significant degree, particularly where the advent of big data has reduced the problem of omitted variables. In a much-cited paper, [66] estimated a hedonic equation for farmland in areas of USA where non-irrigated farming is possible.

Springer, Berlin (2003) 30. : Estimation of the fractional difference parameter in the ARIMA(p, d, q) model using the smoothed periodogram. J. Time Ser. Anal. 15, 315–335 (1994) 31. : Estimation of parameters in ARFIMA processes: a simulation study. Commun. Stat. Simul. Comput. 30(4), 787–803 (2001) 32. , Kirman, A. ): Long Memory in Economics. Springer, Berlin (2007) 33. : Characteristic-based clustering for time series data. Data Min. Knowl. Discov. 13, 335–364 (2006) 34. : Hypothesis Testing in Time Series.

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Causal Inference in Econometrics by Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta


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