scholarly journals Collective Labor Supply: A Single-Equation Model and Some Evidence from French Data

2005 ◽  
Author(s):  
Olivier Donni ◽  
Nicolas Moreau
Keyword(s):  
Labor Supply ◽  
Single Equation ◽  
Equation Model

scholarly journals Dynamics of curved reaction fronts under a single-equation model

2018 ◽  
Vol 57 ◽  
pp. 398 ◽  
Author(s):  
Rajeev Prakash Bhanot ◽  
Dmitry Strunin
Keyword(s):  
Single Equation ◽  
Equation Model ◽  
Reaction Fronts

scholarly journals Effects of Multicollinearity and Correlation between the Error Terms on Some Estimators in a System of Regression Equations

2020 ◽  
pp. 77-94
Author(s):  
Olanrewaju, Samuel Olayemi
Keyword(s):  
Single Equation ◽  
Equation Model ◽  
Least Square ◽  
Monte Carlo Experiment ◽  
Regression Equations ◽  
Least Square Estimator ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Joint Influence ◽  
Error Terms

One of the assumptions of a single equation model is that there is one -way causation between the dependent variable Y and the independent variables X. When the assumption is not valid, as, in many econometric models, of lack of correlation between the independent variables and the error terms (U) is further violated, Ordinary Least Square estimator would no longer efficient, that was why this study examined the effects of multicollinearity and a correlation between the error terms on the performance of seven estimators and identified the estimator that yields the most preferred estimates under the separate or joint influence of the two correlation effects under consideration. A two-equation model in which the two correlation problems were introduced was used in this study. The error terms of the two equations were also correlated. The levels of correlation between the error terms and multicollinearity were specified between -1 and +1 at an interval of 0.2 except when the correlation value approached unity. A Monte Carlo experiment of 1000 trials was carried out at five levels of sample sizes 20, 30, 50, 100, and 250 at two runs.

scholarly journals Exchange Rate Determination in Pakistan: A Simultaneous Equation Model

1996 ◽  
Vol 35 (4II) ◽  
pp. 683-692 ◽  
Author(s):  
Rehana Siddiqui ◽  
Usman Afridi ◽  
Zafar Mahmood
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Current Account Deficit ◽  
Single Equation ◽  
Simultaneous Equation ◽  
Equation Model ◽  
Nominal Exchange Rate ◽  
Equilibrium Path ◽  
Simultaneous Equation Model ◽  
Traded Goods

In recent years the gap between real exchange rate (RER) and nominal exchange rate (NER) has widened in Pakistan. A proper understanding of the determinants of real exchange rate can be extremely useful for the management of current account deficit. The results of this study show that the Simultaneous Equation Model gives better results than the Single Equation Model. The estimated coefficients reveal that changes in both monetary and real sector variables affect the equilibrium path of RER. The distinction between traded and non-traded goods can also help in proper real exchange rate management.

The Spatial Arrangement of Urban Activities: A Simultaneous Location Model

1976 ◽  
Vol 8 (7) ◽  
pp. 779-791 ◽  
Author(s):  
J Odland
Keyword(s):  
Programming Model ◽  
Spatial Arrangement ◽  
Single Equation ◽  
Equation Model ◽  
Estimated Parameters ◽  
Location Patterns ◽  
The One ◽  
The Cost ◽  
Us Cities ◽  
Urban Activities

The spatial patterns of urban activities are treated as the outcome of a balance between economic conditions that reward spatial concentration of employment activity on the one hand but favor spatial dispersion of residences on the other. The balance between these two sets of conditions is mediated by the cost of commuting. These three elements are formalized in terms of a mathematical-programming model that determines simultaneously the location patterns of employment, residential activity, and commuting. The solution conditions lead to a single-equation model which estimates the distances between zones in a city on the basis of their residential and employment densities. This version is fitted to data for four US cities. Estimates derived from the single-equation model can be resolved into two-dimensional maps of the zones by multidimensional scaling, and maps of the four cities, based on the estimated equations, are obtained and compared with the actual maps of the cities. The results indicate that the estimated parameters are congruent with the actual spatial arrangements of the cities.

scholarly journals Political instability and economic growth: an empirical evidence from the Baltic states

2011 ◽  
Vol 59 (2) ◽  
pp. 81-88 ◽  
Author(s):  
Ladislava Grochová ◽  
Luděk Kouba
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Political Instability ◽  
Political Stability ◽  
Single Equation ◽  
Equation Model ◽  
Political Economics ◽  
Necessary Condition ◽  
Baltic States ◽  
The Baltic

For more than last 20 decades, new political economics has been dealing with theories of economic growth (for example influential contributions by Mancur Olson, Dani Rodrik). However, less attention has been paid to their empirical verification. The new political economics growth theory defines some factors that are necessary for economic growth among which political stability. Our aim is to test the theory focused on political stability empirically in order to enrich the studies with recent European results. The paper uses a single-equation model to reject a hypothesis that political stability is a necessary condition for economic growth finding a relationship between economic growth and political instability. A demonstration that political stability is not a crucial factor for economic development in general then represents the main goal of the contribution. There are distinguished two types of political instability – elite and non-elite – in topical literature. While non-elite political instability concerns about violent coups, riots or civil wars, elite political instability is represented with “soft changes” such as government breakdowns, fragile majority or minority governments. A number of government changes is used as a proxy of elite political instability. The disproof of the hypothesis is demonstrated on data from the Baltic states where number of government changes takes place and still fast economic growth could be seen within last two decades. Since it is shown that political instability has almost no impact on economic growth, we consider the hypothesis regarding a necessity of political stability for economic development to be only a specific non-generalizable case.

Partial identification in nonseparable count data instrumental variable models

2019 ◽  
Vol 23 (2) ◽  
pp. 232-250 ◽  
Author(s):  
Dongwoo Kim
Keyword(s):  
Count Data ◽  
Instrumental Variable ◽  
Unobserved Heterogeneity ◽  
Healthcare Utilisation ◽  
Single Equation ◽  
Structural Features ◽  
Equation Model ◽  
Conditional Moment ◽  
Supplemental Insurance ◽  
Strong Separability

Summary This paper investigates undesirable limitations of widely used count data instrumental variable models. To overcome the limitations, I propose a partially identifying single-equation model that requires neither strong separability of unobserved heterogeneity nor a triangular system. Sharp bounds (identified sets) of structural features are characterised by conditional moment inequalities. Numerical examples show that the size of an identified set can be very small when the support of an outcome is rich or instruments are strong. An algorithm for estimation and inference is presented. I illustrate the usefulness of the proposed model in an empirical application to effects of supplemental insurance on healthcare utilisation.

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