Probability theory and statistical inference: econometric modelling with observational data, Aris Spanos, Cambridge University Press, 1999, pp. 815 + xxviii, price (pb) $49.95, (hb) $105.00

2002 ◽  
Vol 17 (4) ◽  
pp. 415-418
Author(s):  
B. D. McCullough
Keyword(s):  
Probability Theory ◽  
Statistical Inference ◽  
Observational Data ◽  
Econometric Modelling ◽  
Cambridge University

Statistical Inference in Economics in the 1920s and 1930s

2021 ◽  
Vol 53 (6) ◽  
pp. 53-80
Author(s):  
Jeff Biddle
Keyword(s):  
United States ◽  
Probability Theory ◽  
Economic Analysis ◽  
Statistical Inference ◽  
Statistical Data ◽  
The United States ◽  
Interesting Case ◽  
Agricultural Products ◽  
Department Of Agriculture ◽  
The Us

Statistical inference is the process of drawing conclusions from samples of statistical data about things not fully described or recorded in those samples. During the 1920s, economists in the United States articulated a general approach to statistical inference that downplayed the value of the inferential measures derived from probability theory that later came to be central to the idea of statistical inference in economics. This approach is illustrated by the practices of economists of the Bureau of Economic Analysis of the US Department of Agriculture, who regularly analyzed statistical samples to forecast supplies of various agricultural products. Forecasting represents an interesting case for studying the development of inferential methods, as analysts receive regular feedback on the effectiveness of their inferences when forecasts are compared with actual events.

Encountering data

2019 ◽  
pp. 5-10
Author(s):  
M. D. Edge
Keyword(s):  
Probability Theory ◽  
Statistical Inference ◽  
Statistical Estimation ◽  
The World ◽  
Using Data

Statistics is concerned with using data to learn about the world. In this book, concepts for reasoning from data are developed using a combination of math and simulation. Using a running example, we will consider probability theory, statistical estimation, and statistical inference. Estimation and inference will be considered from three different perspectives.

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