Analysis of Patent Data: A Mixed-Poisson-Regression-Model Approach

Peiming Wang · Iain Cockburn · Martin L. Puterman

47 citations0/0 files storedJournal of Business and Economic Statistics

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Intellectual Property and Patents Statistical Methods and Bayesian Inference Firm Innovation and Growth

Abstract

Peiming Wang, Iain M. Cockburn, Martin L. Puterman, Analysis of Patent Data: A Mixed-Poisson-Regression-Model Approach, Journal of Business & Economic Statistics, Vol. 16, No. 1 (Jan., 1998), pp. 27-41

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 47 citations exist upstream.

Cited by

2005Latent class models for use of primary care: evidence from a British panel 2004Determinants of access to physician services in Italy: a latent class seemingly unrelated probit approach 2011UNDERSTANDING HETEROGENEITY IN PRICE ELASTICITIES IN THE DEMAND FOR ALCOHOL FOR OLDER INDIVIDUALS 2020Tracing the Evolution of 3-D Printing Technology in China Using LDA-Based Patent Abstract Mining 2002The Markov Switching Acd Model 2010Technology Forecasting Using Frequency Time Series Model: Bio-Technology Patent Analysis 2011Technology Forecasting of Intelligent Systems using Patent Analysis 2008An analysis of count data models for the study of exclusivity in wine consumption

Imported from OpenAlex (CC0) — nothing here is generated.