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2000, SSRN Electronic Journal
A specific concept of structural model is used as a background for discussing the structurality of its parameterization. Conditions for a structural model to be also causal are examined. Difficulties and pitfalls arising from the parameterization are analyzed. In particular, pitfalls when considering alternative parameterizations of a same model are shown to have lead to ungrounded conclusions in the literature. Discussion of observationally equivalent models related to different economic mechanisms are used to make clear the connection between an economicall meaningful parameterization and an economically meaningful decomposition of a complex model. The design of economic policy is used for drawing some practical implications of the proposed analysis.
American Economic Review, 2017
A structural economic model is one where the structure of decision making is incorporated in the model specification. Structural models aim to identify three distinct, but related, objects: (i) structural “deep” parameters; (ii) underlying mechanisms; (iii) policy counterfactuals. The ability to provide counterfactual predictions sets structural models apart from reduced-form models. The focus is on studies that allow a better understanding of the mechanisms underlying observed behavior and that provide reliable insights about policy counterfactuals. Emphasis is given to models that minimize assumptions on the structural function and on unobserved heterogeneity and approaches that align structural and “reduced form” moments.
The Springer Series on Demographic Methods and Population Analysis, 2009
This paper deals with causal analysis in the social sciences. We first present a conceptual framework according to which causal analysis is based on a rationale of variation and invariance, and not only on regularity. We then develop a formal framework for causal analysis by means of structural modelling. Within this framework we approach causality in terms of exogeneity in a structural conditional model based which is based on (i) congruence with background knowledge, (ii) invariance under a large variety of environmental changes, and (iii) model fit. We also tackle the issue of confounding and show how latent confounders can play havoc with exogeneity. This framework avoids making untestable metaphysical claims about causal relations and yet remains useful for cognitive and action-oriented goals.
Scientific Papers of Silesian University of Technology – Organization and Management Series
The article uses critical literature analysis. The theory of structural changes and system theory was reviewed to reveal the impact of the economic system on changes in the economic structure. Findings: Owing to the conducted analysis, the relationship between the system and the economic structure was presented. On the one hand, shaping the structure turned out to be strategically important for the entire system. On the other, the structure may depend on broadly understood conditions resulting from the properties of the system itself or its environment. Hence, for the same purposes, the systems may differ in their structure, which will be chosen to apply to the existing determinant. It can therefore be assumed that the system is an important determinant for structural adjustments in the economy. Originality/value: The literature on the subject, as the main factors of changes in economic structures, primarily reveals: the introduction and diffusion of new technologies and the increase in global trade. The nature of their influence has been extensively described by economists. However, systemic determinants of structural transformations are still hardly documented.
Economic Models for Policy Making
Over the past decades, many different kinds of models have been developed that have been of use to policy makers, but until now the different approaches have not been brought together with a view to enhancing the systematic unification and evaluation of these models. This new volume aims to fill this gap by bringing together four decades' worth of work by S. I. Cohen on economic modelling for policy making. Work on older models has been rewritten and brought fully up to date, and these older models have therefore been brought back to the fore, both to assess how they influenced more recent models and to see how they could be used today. The focus of the book is on models for development policies in developing economies, but there are some chapters that relate to economic policies in transition and developed economies. The policy areas covered are of typical interest in developing and transition economies. They include those relating to trade liberalisation reforms, sustainable development, industrial development, agrarian reform, growth and distribution, human resource development and education, public goods, and income transfers. Each chapter contains a brief assessment of the empirical literature on the economic effects of the policy measures discussed in the chapter. The book presents a platform of economic modelling that can serve as a refresher for practising professionals, as well as a reference companion for graduates engaging in economic modelling and policy preparations.
This chapter explains the logic of structural econometric models and compares them to other types of econometric models. We provide a framework researchers can use to develop and evaluate structural econometric models. This framework pays particular attention to describing different sources of unobservables in structural models. We use our framework to evaluate several literatures in industrial organization economics, including the literatures dealing with market power, product differentiation, auctions, regulation and entry.
Revista de Economia Política, 2015
This paper examines the structuralist tradition in economics, emphasizing the role that structures play in the economic growth of developing countries. Since the subject at hand is evidently too large to cover in a single article, an emphasis has been brought to bear upon the macroeconomic elements of such a tradition, while also exploring its methodological aspects. It begins by analysing some general aspects of structuralism in economics (its evolution and origins) associated with ECLAC thought, in this instance focusing on the dynamics of the center-periphery relationship. Thereafter, the macroeconomic structuralism derived from the works of is presented, followed by a presentation of neo-structuralism. Centred on the concept of systemic competitiveness, this approach defines a strategy to achieve the high road of globalization, understood here as an inevitable process in spite of its engagement being dependent on the policies adopted. The conclusions show the genuine contributions of this tradition to economic theory.
International Journal of Academic Research in Accounting, Finance and Management Sciences, 2019
In the study of macroeconomic models, we mainly start from a basic model, which explains the correlations that are established between the economic variables and the proportions that must exist between them, so that a balanced evolution can be achieved, which has the effect of at the macroeconomic level. The balance is not maintained automatically and therefore some measures must be taken to ensure the return of production to an appropriate level characterized by stability. Normally, unemployment is a balancing element in the sense that, when production is realized above market demands, a restructuring of the workforce is needed. This can be done through professional conversion or through unemployment. The issue regarding what is more advantageous, the production of unsold stocks at the level of the national economy or in a certain field, or the cessation of its production, with the effect of passing a number of employees into unemployment, must be addressed. Also, another element that causes distortions in maintaining the balance, which we find in the basic model, is that of inflation. Inflation, as opposed to deflation, is a factor that influences consumption and at the same time influences investment. Consumption is influenced in the sense that if inflation is very high, prices increase and then consumption is reduced. But all inflation causes a part of the monetary mass to be released and thus to return to the equilibrium element. Liquidity must be correlated with inflation and the mechanism of inflation.
History of Political Economy, 2015
The purposes and limitations of all types of models used in economics, past and beyond. This is the rather ambitious topic of Lawrence Boland's new book. The book reviews standard microeconomics, macroeconomics, game theory (including evolutionary), experimental economics, and econometrics (both micro and macro). In its mission statement, the book is declared methodology with a small 'm', to be distinguished with a capitalized Methodology discussed by Philosophers. Methodology discussed by Philosophers deals with lofty issues of 'Realism', 'Testing', and 'Explanation', whereas methodologists are interested in, well, such things as the realisticness of assumptions, the testing of models, and explanation. In the end, the biggest drawback of the book ends up being a seemingly aesthetic aversion to completely imagined capital letters. It is clear that the book discusses the very same issues that have vexed philosophers of science and philosophers of economics for at least the last few decades, and arguably for centuries, yet it refuses to engage these resources. This is a regrettable, but perhaps inevitable, consequence of the limits of any one person trying to cover the whole of economics and the relevant philosophy of economics. Boland begins with a thesis about a paradigm and generational shift in economic modeling around the beginning of the 1980s. Economists having their postgraduate studies in the 1980s or later no longer conceive models as being models of a theory, built in order to provide an instrument with which to empirically test that theory. Instead, model building began to be equated with theorizing itself. This shift is argued for in a concise, yet convincing manner. And this shift does not sit all that well with the Popperian spirit of Boland's Methodology (yes, with a capital 'M'). Although the book does not attempt to systematically build a single argument or an encompassing philosophical position, the overall message emerging from the discussion seems to be a plea for
The paper discusses a version of empiricist structuralism with regard to general macroeconomic equilibrium models as instantiated by the initial RBC model. It argues that calibration, which is used to derive empirically substantiated answers to quantified questions in DSGE, explicitly represents interactions with how the model user conceptualizes the problem at hand and thus extends Bas van Fraassen's theory of representation, claiming that in the case of economic models the indexicality of the representation applies not only to the relationship between reality and the empirical model, but – as argued – pertains also to the relationship between the empirical and the theoretical model. Hence, the argument further undermines the simplistic views of the relationship between the theoretical model and reality, and in the case of economy, which involves intentional actions of economic agents, it demonstrates that even theoretical representation constitutively involves the user's indexical judgment.
IAP Statistics Network, Institut de Statistique, 2007
This paper deals with causal analysis in the social sciences. We first present a conceptual framework according to which causal analysis is based on a rationale of variation and invariance, and not only on regularity. We then develop a formal framework for causal analysis by means of structural modelling. Within this framework we approach causality in terms of exogeneity in a structural conditional model based on (i) model fit,(ii) invariance under a large variety of environmental changes, and (iii) congruence with ...
Journal of Economic Literature, 2011
Structural econometrics is perhaps best described as an empirical strategy that explicitly incorporates economic theory into applied empirical analyses. It is a method of data analysis with a long and well-established history in economics.
2000
Methodologies for analyzing the forces that move and shape national economies have advanced markedly in the last thirty years, enabling economists as never before to unite theoretical and empirical research and align measurement with theory. In Structural Macroeconometrics, David DeJong and Chetan Dave provide the unified overview and in-depth treatment analysts need to apply these latest theoretical models and empirical
SSRN Electronic Journal
This paper examines different approaches for assessing causality as typically followed in econometrics and proposes a constructive perspective for improving statistical models elaborated in view of causal analysis. Without attempting to be exhaustive, this paper examines some of these approaches. Traditional structural modeling is first discussed. A distinction is then drawn between model-based and designbased approaches. Some more recent developments are examined next, namely history-friendly simulation and information-theory based approaches. Finally, in a constructive perspective, structural causal modeling (SCM) is presented, based on the concepts of mechanism and sub-mechanisms, and of recursive decomposition of the joint distribution of variables. This modeling strategy endeavors at representing the structure of the underlying data generating process. It operationalizes the concept of causation through the ordering and role-function of the variables in each of the intelligible sub-mechanisms.
2018
Economists still struggle to understand why some countries are so much richer than others. The shift of labour out of the agricultural sector into other such sectors as manufacturing and services is one important piece of this puzzle. Therefore, understanding not only the driving mechanisms and forces behind the process of structural change but also how these mechanisms interact and reinforce each other is crucial. In the present work we develop a parsimonious computational agent-based model (ABM) where structural change is driven by income and relative-price effects simultaneously. The income effect is generate by the assumption of a simple non-homothetic hierarchical demand structure where consumers spend their income according to a given priority as in Falkinger (1990, 1994) and Andersen (2001). The relative price effect derives from different rates of sectoral productivity growth. Our objective is not to present a full picture of the process of structural change, but to demonstr...
Evolutionary and Institutional Economics Review, 2011
This article suggests some analytical approach to structures in economics and initiates the development of interdisciplinary approach. Even brief classification of socio-economic structures reveals the high complexity that is possible to tackle only using different methodologies from different sciences. The article suggests that physics, theory of network, synergetics and asymptotical theory can help to develop mathematical version of institutional economics oriented on holistic approach. The role of power and field for emergence of stable structures based on social interaction is discussed. The formal model of power game with non self-regarding preferences is considered as an example of modelling. Its social applications are also analysed.
Applied Mathematics and Computation, 1986
We discuss the Structural Econometric Modeling and Time Series Analysis (SEMTSA) approach put forward by Zellner and Palm, which provides a synthesis of econometric and time series methods in modeling economic time series. The approach aims at giving guidance for checking the data admissibility of the dynamic specification of a model in its various forms, in particular the transfer function form and the final equation form. We review the SEMTSA approach, discuss recent developments, and briefly compare the SEMTSA with other methodologies for econometric modeling. Finally some remarks are made about problems that remain to be solved.
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