Search Results - subject:"stochastic coefficients"

Removing specification errors from the usual formulation of binary choice models

Swamy, Paravastu A. V. B.; Chang, I-Lok; Mehta, Jatinder S. - In: Econometrics 4 (2016) 2, pp. 1-21

We develop a procedure for removing four major specification errors from the usual formulation of binary choice models. The model that results from this procedure is different from the conventional probit and logit models. This difference arises as a direct consequence of our relaxation of the...

Persistent link: https://www.econbiz.de/10011755331

Removing specification errors from the usual formulation of binary choice models

Swamy, Paravastu A. V. B.; Chang, I-Lok; Mehta, Jatinder S. - In: Econometrics : open access journal 4 (2016) 2, pp. 1-21

Persistent link: https://www.econbiz.de/10011506387

The Multi-Fibre Agreement Phase-Out: Efficiency Implications of Textile Firms in India

Gopalan, Sasidaran; K.R., Shanmugam - Volkswirtschaftliche Fakultät, … - 2009

employing Stochastic Coefficients Frontier Approach, it estimates the overall and input specific efficiency values for 215 …

Persistent link: https://www.econbiz.de/10008876864

The Stochastic Coefficients Approach to Econometric Modeling Part I: A Critique of Fixed Coefficients Models

Swamy, P.A.V.B.; Conway, Roger K.; LeBlanc, Michael - In: Journal of Agricultural Economics Research (1988) 2

Stochastic coefficients models can provide accurate agricultural secto forecasts and useful policy analysis Coefficient … stochastic coefficients models eliminate the logical problems associated with fixed coefficients models …

Persistent link: https://www.econbiz.de/10010879215

The Stochastic Coefficients Approach to Econometric Modeling, Part III: Estimation, Stability Testing, and Prediction

Swamy, P.A.V.B.; Conway, Roger K.; LeBlanc, Michael - In: Journal of Agricultural Economics Research (1988) 1

In this final article of our three-part series, we demonstrate why stochastic coefficients models are well suited to … the forecast error shows that stochastic coefficients models can cover more possible sources of prediction error and …

Persistent link: https://www.econbiz.de/10010879222

The Stochastic Coefficients Approach to Econometric Modeling, Part II: Description and Motivation

Swamy, P.A.V.B.; Conway, Roger K.; LeBlanc, Michael - In: Journal of Agricultural Economics Research (1988) 3

A general stochastic coefficients model developed by Swamy and Tinsley serves as a reference point for discussion in … advantages and disadvantages of stochastic coefficients and suggest procedures to address the identification and estimation …

Persistent link: https://www.econbiz.de/10010910583

Examining Intertemporal Export Elasticities for Wheat, Corn, and Soybeans: A Stochastic Coefficients Approach

Conway, Roger K. - Economic Research Service, Department of Agriculture - 1985

The response of export demand to price changes for selected agricultural products did not become elastic over the 1969-77 period. This report is the first to test empirically the hypothesis that, during the 1970's, competition increased and the United States became a marginal exporter of farm...

Persistent link: https://www.econbiz.de/10010882650

The Structure of Agricultural Investment: Comparing a Flexible Accelerator with Stochastic Coefficients

Conway, Roger; Hrubovcak, James; LeBlanc, Michael - Economic Research Service, Department of Agriculture - 1985

Two approaches, a flexible accelerator model and a stochastic coefficients alternative, are used to estimate the … stochastic coefficients model, however, performs better in an out-of-sample forecast. …

Persistent link: https://www.econbiz.de/10010922068