Name File Type Size Last Modified
HNIP_estimator.R text/plain 10.9 KB 10/11/2019 10:51:AM
HNIP_read_data.R text/plain 3.3 KB 10/11/2019 10:51:AM
LICENSE.txt text/plain 14.6 KB 10/11/2019 10:51:AM
Pitsburgh_Commercial_Properties.txt text/plain 48.8 KB 10/11/2019 10:51:AM
Pittsburgh_post1995.txt text/plain 591.5 KB 10/11/2019 10:51:AM
README.txt text/plain 467 bytes 10/11/2019 10:51:AM
supply.R text/plain 18.8 KB 10/11/2019 10:51:AM

Project Citation: 

Epple, Dennis, Gordon, Brett, and Sieg, Holger. Replication data for: A New Approach to Estimating the Production Function for Housing. Nashville, TN: American Economic Association [publisher], 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112360V1

Project Description

Summary:  View help for Summary Dating to the classic works of Alonso, Mills, and Muth, the production function for housing has played a central role in urban economics and local public finance. This paper provides a new flexible approach for estimating the housing production function which treats housing quantities and prices as latent variables. The empirical analysis is based on a comprehensive database of recently built properties in Allegheny County, Pennsylvania. We find that the new method proposed in this paper works well in the application and provides reasonable estimates for the underlying production function. (JEL C51, D24, R11, R31)

Scope of Project

JEL Classification:  View help for JEL Classification
      C51 Model Construction and Estimation
      D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
      R11 Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
      R31 Housing Supply and Markets


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