Pregibit: A Family of Discrete Choice Models

The pregibit discrete choice model is built on a distribution that allows symmetry or asymmetry and thick tails, thin tails or no tails. Thus the model is much richer than the traditional models that are typically used to study behavior that generates discrete choice outcomes. Pregibit nests logit, approximately nests probit, loglog, cloglog and gosset models, and yields a linear probability model that is solidly founded on the discrete choice framework that underlies logit and probit.post-secondary education, probit, logit, asymmetry, discrete choice, mortgage application

Diagnosing the Productivity Effect of Public Capital in the Private Sector

Does public capital contribute to the productivity in the private sector? If so, which part of the private sector benefits most? Is public capital a substitute for or a complement of labor and private capital? This paper addresses these questions with both cost and profit function models estimated on U.S. time series data of the private sector and two of its subsectors. It pays special attention to nonstationarity in the data, to endogeneity in the price variables, and to the statistical and economic significance of the public capital effect.

A time deformation model and its time-varying autocorrelation: An application to US unemployment data

A G-Lambda model is characterized by a constant mean, a finite variance and a covariance that is a function of both time and lags. The Box-Cox transformation of the time scale transforms a non-stationary G-Lambda model into a stationary model. This paper explores the time-varying behavior of the G-Lambda model. Simulation results indicate that it is possible to distinguish between the G-Lambda model and other better-known models such as the ARIMA, ARFIMA and STAR models. Applying the model to US unemployment data, the performance of the G-Lambda model varies as the start of the forecast periods changes. However, the results of the sign test and the Diebold-Mariano test indicate that the G-Lambda model has significantly better long-term forecasts than other models.

A Service of zbw Leibniz-Informationszentrum Wirtschaft Leibniz Information Centre for Economics Public Infrastructure as a Determinant of Intertemporal and Interregional Productive Performance in China Public Infrastructure as a Determinant of Intertempo

Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Public Infrastructure as a Determinant of Intertemporal and Interregional Productive Performance in China Feng-Cheng Fu Chu-Ping C. Vijverberg Wim P. M. Vijverberg D I S C U S S I O N P A P E R S E R I E S ABSTRACT Public Infrastructure as a Determinant of Intertemporal and Interregional Productive Performance in China This paper focuses on the question whether public infrastructure capital matters for labor productivity in China, both over time and across regions. It finds that public infrastructure is a significant determinant of variations in labor productivity across provinces, but the contribution of public capital to labor productivity growth over time is likely non-existing or even negative. These seemingly contradictory results are reconciled once we view the measured intertemporal effect as a short-run impact and the interregional effect as a longterm consequence of public infrastructure investment. JEL Classification: H54, O47, R1

Public infrastructure as a determinant of productive performance in China

Public infrastructure, Labor productivity, China, H54, O47, R11,