FLEXIBLE FUNCTIONAL FORMS, CURVATURE CONDITIONS, AND THE DEMAND FOR ASSETS

2007 ◽  
Vol 11 (4) ◽  
pp. 455-486 ◽  
Author(s):  
APOSTOLOS SERLETIS ◽  
ASGHAR SHAHMORADI

This paper focuses on the demand for money in the United States in the context of five popular locally flexible functional forms—the generalized Leontief, the basic translog, the almost ideal demand system, the Minflex Laurent, and the normalized quadratic reciprocal indirect utility function. We pay explicit attention to the theoretical regularity conditions of positivity, monotonicity, and curvature and argue that much of the older empirical literature ignores economic regularity. We treat the curvature property as a maintained hypothesis and provide a comparison in terms of violations of the regularity conditions and in terms of output in the form of a full set of elasticities. We also provide a policy perspective, in that a strong case can be made for abandoning the simple sum approach to monetary aggregation, on the basis of the low elasticities of substitution among the components of the popular M2 aggregate of money.

2005 ◽  
Vol 9 (4) ◽  
pp. 542-559 ◽  
Author(s):  
APOSTOLOS SERLETIS ◽  
ASGHAR SHAHMORADI

This paper focuses on the demand for money in the United States in the context of two globally flexible functional forms—the Fourier and the asymptotically ideal model (AIM)—estimated subject to full regularity, using methods suggested over 20 years ago. We provide a comparison in terms of violations of the regularity conditions for consumer maximization and in terms of output in the form of a full set of elasticities. We also provide a policy perspective, using (for the first time) parameter estimates that are consistent with global regularity, in that a very strong case can be made for abandoning the simple-sum approach to monetary aggregation, on the basis of the low elasticities of substitution among the components of the popular M2 aggregate of money.


2018 ◽  
Vol 23 (07) ◽  
pp. 2941-2958
Author(s):  
Dongfeng Chang ◽  
Apostolos Serletis

We investigate the demand for money and the degree of substitutability among monetary assets in the United States using the generalized Leontief and the Minflex Laurent (ML) models as suggested by Serletis and Shahmoradi (2007). In doing so, we merge the demand systems literature with the recent financial econometrics literature, relaxing the homoskedasticity assumption and instead assuming that the covariance matrix of the errors of flexible demand systems is time-varying. We also pay explicit attention to theoretical regularity, treating the curvature property as a maintained hypothesis. Our findings indicate that only the curvature constrained ML model with a Baba, Engle, Kraft, and Kroner (BEKK) specification for the conditional covariance matrix is able to generate inference consistent with theoretical regularity.


2021 ◽  
pp. 1-34
Author(s):  
Jinan Liu ◽  
Apostolos Serletis

Abstract We use nonparametric and parametric demand analysis to empirically estimate a credit card-augmented monetary asset demand system, based on the Minflex Laurent flexible functional form, and a sample period that includes the 2007–2009 global financial crisis and the COVID-19 pandemic. We also use multivariate copulae in an attempt to capture various patterns of dependence structures. In doing so, we relax the joint normality assumption of the errors of the demand system and estimate the model without having to delete one equation as is usually the practice. We show that the Minflex Laurent copula-based demand system produces a higher income elasticity for credit card transaction services and higher Morishima elasticities between credit card transaction services and monetary assets compared to the traditional estimation of the Minflex Laurent demand system. We also show that credit cards are substitutes for monetary assets and that there is lower tail dependence between the demand for credit card transaction services and transaction balances.


Author(s):  
Caroline Khan ◽  
Mike G. Tsionas

AbstractIn this paper, we propose the use of stochastic frontier models to impose theoretical regularity constraints (like monotonicity and concavity) on flexible functional forms. These constraints take the form of inequalities involving the data and the parameters of the model. We address a major concern when statistically endogenous variables are present in these inequalities. We present results with and without endogeneity in the inequality constraints. In the system case (e.g., cost-share equations) or more generally, in production function-first-order conditions case, we detect an econometric problem which we solve successfully. We provide an empirical application to US electric power generation plants during 1986–1997, previously used by several authors.


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