We distinguish between identification and establishing causality. Identification means forming a unique mapping from features of data to quantities that are of interest to economists. Establishing causality is synonymous with finding sources of exogenous variation. These two issues are often confused. However, exogenous variation is only sometimes necessary and never sufficient to identify economically interesting parameters. Instead, even for causal questions identification must rest on an underlying economic model. We illustrate these points by examining identification in two recent papers: one causal study relying on an entirely verbal model and one non-causal study relying on a formal mathematical model.http://deepblue.lib.umich.edu/bit...
Econometric modelling has become an increasing popular method of economic analysis. This process has...
This paper contributes to the construction of a general theory for conditional models by making expl...
Mining genuine mechanisms underlying the complex data generation process in real-world systems is a ...
The problem of identification is defined in terms of the possibility of characterizing parameters of...
In spite of the importance of exogeneity in econometric modeling, an unambiguous definition does not...
Across the social sciences, lagged explanatory variables are a common strategy to confront challenge...
This paper provides a new simple and computationally tractable method for determining an identified ...
Applied econometric work takes a superficial approach to causality. Understanding economic affairs, ...
This paper provides a new simple and computationally tractable method for determining an identified ...
Identification in econometric models maps prior assumptions and the data to information about a para...
abstract. The development of macro-econometrics has been per-sistently fraught with a tension betwee...
Causality is a notion that occurs often in economics. In using the words ‘cause' and ‘effect,' e...
Econometrics applies statistical methods to study economic phenomena. Roughly, by means of equations...
Defence date: 31 January 2012Examining Board: Professor Richard Spady, Johns Hopkins University (Ext...
Abstract. The point of empirical work is commonly to test a very small number of crucial null hypoth...
Econometric modelling has become an increasing popular method of economic analysis. This process has...
This paper contributes to the construction of a general theory for conditional models by making expl...
Mining genuine mechanisms underlying the complex data generation process in real-world systems is a ...
The problem of identification is defined in terms of the possibility of characterizing parameters of...
In spite of the importance of exogeneity in econometric modeling, an unambiguous definition does not...
Across the social sciences, lagged explanatory variables are a common strategy to confront challenge...
This paper provides a new simple and computationally tractable method for determining an identified ...
Applied econometric work takes a superficial approach to causality. Understanding economic affairs, ...
This paper provides a new simple and computationally tractable method for determining an identified ...
Identification in econometric models maps prior assumptions and the data to information about a para...
abstract. The development of macro-econometrics has been per-sistently fraught with a tension betwee...
Causality is a notion that occurs often in economics. In using the words ‘cause' and ‘effect,' e...
Econometrics applies statistical methods to study economic phenomena. Roughly, by means of equations...
Defence date: 31 January 2012Examining Board: Professor Richard Spady, Johns Hopkins University (Ext...
Abstract. The point of empirical work is commonly to test a very small number of crucial null hypoth...
Econometric modelling has become an increasing popular method of economic analysis. This process has...
This paper contributes to the construction of a general theory for conditional models by making expl...
Mining genuine mechanisms underlying the complex data generation process in real-world systems is a ...