It takes the average reader 2 hours and 24 minutes to read Estimation of Structural Models Using Experimental Data From the Lab and the Field by Charles Bellemare
Assuming a reading speed of 250 words per minute. Learn more
Behavioral economics provides a rich set of explicit models of non-classical preferences and belief formation which can be used to estimate structural models of decision making. At the same time, experimental approaches allow the researcher to exogenously vary components of the decision making environment. The synergies between behavioral and experimental economics provide a natural setting for the estimation of structural models. This Element will cover examples supporting the following arguments 1) Experimental data allows the researcher to estimate structural models under weaker assumptions and can simplify their estimation, 2) many popular models in behavioral economics can be estimated without any programming skills using existing software, 3) experimental methods are useful to validate structural models. This Element aims to facilitate adoption of structural modelling by providing Stata codes to replicate some of the empirical illustrations that are presented. Examples covered include estimation of outcome-based preferences, belief-dependent preferences and risk preferences.
Estimation of Structural Models Using Experimental Data From the Lab and the Field by Charles Bellemare is 139 pages long, and a total of 36,001 words.
This makes it 47% the length of the average book. It also has 44% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 16 minutes to read Estimation of Structural Models Using Experimental Data From the Lab and the Field aloud.
Estimation of Structural Models Using Experimental Data From the Lab and the Field is suitable for students ages 10 and up.
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