Estimating Multiple-Discrete Choice Models: An Application to Computeri-zzation Returns /
Hendel, Igal.
Estimating Multiple-Discrete Choice Models: An Application to Computeri-zzation Returns / Igal Hendel. - Cambridge, Mass. National Bureau of Economic Research 1994. - 1 online resource: illustrations (black and white); - NBER technical working paper series no. t0168 . - Technical Working Paper Series (National Bureau of Economic Research) no. t0168. .
October 1994.
This paper develops a multiple-discrete choice model for the analysis of demand of differentiated products. Users maximize profits by choosing the number of units of each brand they purchase. Multiple-unit as well as multiple-brand purchases are allowed. These two features distinguish this model from classical discrete choice models which consider only a single choice among mutually exclusive alternatives. Model parameters are estimated using the simulated method of moments technique. Both requirements - microfoundations and estimability -are imposed in order to exploit the available micro level data on personal computer purchases. The estimated demand structure is used to assess welfare gains from computerization and technological innovation in peripherals industries. The estimated return on investment in computers is 90%. Moreover, a 10% increase in the performance to price ratio of microprocessors leads to a 4% gain in the estimated end user surplus.
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Mode of access: World Wide Web.
Estimating Multiple-Discrete Choice Models: An Application to Computeri-zzation Returns / Igal Hendel. - Cambridge, Mass. National Bureau of Economic Research 1994. - 1 online resource: illustrations (black and white); - NBER technical working paper series no. t0168 . - Technical Working Paper Series (National Bureau of Economic Research) no. t0168. .
October 1994.
This paper develops a multiple-discrete choice model for the analysis of demand of differentiated products. Users maximize profits by choosing the number of units of each brand they purchase. Multiple-unit as well as multiple-brand purchases are allowed. These two features distinguish this model from classical discrete choice models which consider only a single choice among mutually exclusive alternatives. Model parameters are estimated using the simulated method of moments technique. Both requirements - microfoundations and estimability -are imposed in order to exploit the available micro level data on personal computer purchases. The estimated demand structure is used to assess welfare gains from computerization and technological innovation in peripherals industries. The estimated return on investment in computers is 90%. Moreover, a 10% increase in the performance to price ratio of microprocessors leads to a 4% gain in the estimated end user surplus.
System requirements: Adobe [Acrobat] Reader required for PDF files.
Mode of access: World Wide Web.