On detectable and non-detectable structural change

A range of parameter changes in I(1) cointegrated time series are not reflected in econometric models thereof, in that many shifts are not easily detected by conventional tests. The breaks in question are changes that leave the unconditional expectations of the I(0) components unaltered. Thus, dynamics, adjustment speeds etc. may alter without detection. However, shifts in long-run means are generally noticeable. Using the VECM model class, the paper discusses such results, explains why they occur, and uses Monte Carlo experiments to illustrate the contrasting ease of detection of ‘deterministic’ and ‘stochastic’ shifts.     

Unified economic ideas and their hybrid policies: the case of Swedish life science innovation work

Institutional theory describes organisations as being open to external influences, including policy-making. Policy-making is in turn based on normative ideas that inform how markets and economies unfold. Policies may include wide-ranging concerns and trade-offs (as in science and industry policy) or may be detailed and specific (as in the case of, e.g. procurement policies in the medical technologies sector), but they tend to play a role in shaping markets. A study of the Swedish life science innovation field suggests that the policy shift in life sciences governance to what Berman [2008. ‘Why Did Universities Start Patenting? Institution-building and the Road to the Bayh-Dole Act.’ Social Studies of Science 38: 835–871] names a market logic. In the present case, the market logic is not sufficiently supported by favourable market conditions, leading to a ‘hybrid logic’ enforcing an enterprising ethos but otherwise remains couched within a bureaucratic innovation system not providing critical resources conducive to life science innovation – venture capital funds and commercial human resources. The outcome is arguably case of ‘over-entrepreneurialisation’.     

Quantile serial dependence in crude oil markets: evidence from improved quantilogram analysis with quantile wild bootstrapping

We examine the quantile serial dependence in crude oil prices based on the Linton and Whang’s quantile-based portmanteau test which we improved by means of quantile wild bootstrapping (QWB). Through Monte Carlo simulation, we find that the quantile wild bootstrap-based portmanteau test performs better than the bound testing procedure suggested by Linton and Whang. We apply the improved test to examine the efficiency of two crude oil markets – WTI and Brent. We also examine if the dependence is stable via rolling sample tests. Our results show that both WTI and Brent are serially dependent in all, except the median quantiles. These findings suggest that it may be misleading to examine the efficiency of crude oil markets in terms of mean (or median) returns only. These crude oil markets are relatively more serially dependent in non-median ranges.     

Modelling upstream and downstream market power in bilateral oligopoly

This article develops a general model that estimates market power exertion in a bilateral market relationship for processors and retailers where each may also have market power in their primary input market and output markets, respectively. Monte Carlo experiments are used to generate industry data for market structures such as perfect competition, monopoly, monopsony, bilateral imperfect competition with an integrated processor/retailer, bilateral imperfect competition with separate processor and retailer, and bilateral imperfect competition with four adjacent upstream and downstream markets. Then, new empirical industrial organization models are estimated using the data with models that match the market structure under which the data were generated (true) and with models that reflect alternative market structures (alternative). The general model is derived using the production function approach without imposing the fixed proportion assumption. Monte Carlo simulation results indicate that the general model is preferred to alternative models that presume competitive behaviour by processors in primary input procurement and by retailers in the output market. Results indicate that less flexible models lead to biased market power estimates in the presence of market power in the corresponding input and output markets.     

Is the relative risk aversion parameter constant over time? A multi-country study

In this paper, an information matrix (IM)-based test is developed for testing the hypothesis of constant relative risk aversion parameter in the GARCH-M set up. A detailed Monte Carlo study is then carried out to evaluate the performance of this test in terms of size and power. Further, a bootstrap technique is suggested to correct the over-size problem found in small samples. The proposed test is then applied to the time series of returns on stock markets of five important countries to examine whether this important hypothesis holds or not, and it is found that the relative risk aversion parameter is not time invariant for all the five time series.     

Excess Volatility of Realized Excess Profit from Currency Speculation in a Two-Country General Equilibrium Model

This paper examines whether the Lucas model can explain stylized facts in foreign exchange markets, by employing Monte Carlo studies. It is assumed that changes in the logarithms of endowments and of money supplies follow a multivariate Markov switching process. From the results of the Monte Carlo studies, with plausible values of the preference parameters, the excess volatility of the realized excess profit from currency speculation, the strong autocorrelation of the forward premium in the sample can be found in the model for four exchange rates. However, the implied covariance between the forward premium and depreciation rates is positive.     

Modest macroeconomic effects of monetary policy shocks during the great moderation: An alternative interpretation

Cholesky-VAR impulse responses estimated with post-1984 U.S. data predict modest macroeconomic reactions to monetary policy shocks. We interpret this evidence by employing an estimated medium-scale DSGE model of the business cycle as a Data-Generating Process in a Monte Carlo exercise in which a Cholesky-VAR econometrician is asked to estimate the effects of an unexpected, temporary increase in the policy rate. Our structural DSGE model predicts conventional macroeconomic reactions to a policy shock. In contrast, our Monte Carlo VAR results replicate our evidence obtained with actual U.S. data. Hence, modest macroeconomic effects may very well be an artifact of Cholesky-VARs. A combination of supply and demand shocks may be behind the inability of Cholesky-VARs to replicate the actual macroeconomic responses. The difference in the VAR responses obtained with Great Inflation vs. Great Moderation data may be due to instabilities in the parameters related to households’ and firms’ programs, more than to a more aggressive systematic monetary policy. A Monte Carlo assessment of sign restrictions as an alternative identification strategy is also proposed.     

Integration,Diversity, Plurality: Territorial Governance and the Reconstruction of Legitimacy in a European ‘Postnational’ State

This article deals with the European ‘legitimacy crisis’ from a neglected perspective, looking at ‘Europe’ not primarily as a set of formal (or formalisable) institutions, but rather as an emergent, policy-driven institutional construct. In this perspective, European integration may be very much seen as the outcome of the policies that are enacted in the European supra-national arena as well as of the way such policies are continuously reinterpreted, renegotiated and re-enacted in the different arenas of its multi-level polity. What is at stake in adopting a policy approach to the European legitimacy issue is, hence, a critical appraisal of development of processes of ‘institutionalisation of Europe’ that range far beyond issues of constitutional design. A crucial consequence is the need to ‘spatialise’ discourse on European reforms. The conclusion is a plea for an integration model for Europe not only constitutionally respectful of diversity, but constitutively enhancing diversity, and for an approach to policy reforms acting upon a ‘political geography of differences’.     

Assimilation of Time Series Data into a Dynamic Bioeconomic Fisheries Model: An Application to the North East Arctic Cod Stock

This paper combines the elegant technique of Data Assimilation and a Monte Carlo procedure to analyze time series data for the North East Arctic Cod stock (NEACs). A simple nonlinear dynamic resource model is calibrated to time series data using the variational adjoint parameter estimation method and the Monte Carlo technique. By exploring the efficient features of the variational adjoint technique coupled with the Monte Carlo method, optimal or best parameter estimates with their error statistics are obtained. Thereafter, the weak constraint formulation resulting in a stochastic ordinary differential equation (SODE) is used to find an improved estimate of the dynamical variable, i.e. the stock. Empirical results show that the average fishing mortality imposed on the NEACs is about 16% more than the intrinsic growth rate of the biological species.     

Limit Theorems for Estimating the Parameters of Differentiated Product Demand Systems

We provide an asymptotic distribution theory for a class of generalized method of moments estimators that arise in the study of differentiated product markets when the number of observations is associated with the number of products within a given market. We allow for three sources of error: sampling error in estimating market shares, simulation error in approximating the shares predicted by the model, and the underlying model error. It is shown that the estimators are CAN provided the size of the consumer sample and the number of simulation draws grow at a large enough rate relative to the number of products. We consider the implications of the results for the Berry, Levinsohn and Pakes (1995) random coefficient logit model and the pure characteristics model analysed in Berry and Pakes (2002) . The required rates differ for these two frequently used demand models. A small Monte Carlo study shows that the differences in asymptotic properties of the two models are reflected, in quite a striking way, in the models' small sample properties. Moreover the limit distributions provide a good approximation to the actual Monte Carlo distribution of the parameter estimates. The results have important implications for the computational burden of the two models.     

Competition,strategic delegation and delay in technology adoption

This paper examines how strategic managerial delegation affects firms' timing of adoption of a new technology under different modes of product market competition. It demonstrates that strategic delegation has differential impacts on adoption dates under Cournot and Bertrand competitions. Strategic delegation with ‘own-performance’-based incentive schemes always leads to early adoption in markets with Bertrand competition compared to that under no-delegation, but not necessarily so in markets with Cournot competition. It also shows that under strategic delegation with ‘own-performance’-based incentive schemes, adoption occurs earlier (later) in markets with Cournot competition than in markets with Bertrand competition, if the degree of product differentiation is high (low). In contrast, under strategic delegation with ‘relative-performance’-based incentive schemes, adoption dates do not differ across markets with different modes of competition. It also analyses implications of firms' choice over types of managerial incentive schemes on the speed of diffusion of new technology.     

Starvation and Social Class: Amartya Sen on Markets and Famines

In his recent work, Amartya Sen assesses markets positively because they contribute to freedom. His work on famines, however, harbours a critical stance toward markets. In this paper, I compare Sen's ‘two views’ of markets and argue that his positive assessment is untenable. Markets can undermine freedom and, to show this, I examine the effects of market-dependence in times of famine; I extend the purview of Sen's analysis to include the manner in which subsistence producers who were once relatively autonomous from markets for their survival become dependent on markets. In conclusion, I examine the normative aspects of Sen's work on famines.     

Quasi-Monte Carlo application in CGE systematic sensitivity analysis

The uncertainty and robustness of Computable General Equilibrium (CGE) models can be assessed by conducting a Systematic Sensitivity Analysis (SSA). Different methods have been used in the literature for SSA of CGE models such as Gaussian Quadrature and Monte Carlo methods. This article explores the use of Quasi-random Monte Carlo methods based on the Halton and Sobol’ sequences as means to improve the efficiency over regular Monte Carlo SSA, thus reducing the computational requirements of the SSA. The findings suggest that by using low-discrepancy sequences, the number of simulations required by the regular MC SSA methods can be notably reduced, hence lowering the computational time required for SSA of CGE models.     

The process followed by PPP data. On the properties of linearity tests

Recent research has reported the lack of correct size in stationarity test for PPP deviations within a linear framework. However, theoretically well motivated non-linear models, such as the ESTAR, appear to parsimoniously fit the PPP data and provide an explanation for the PPP ‘puzzle’. Employing Monte Carlo experiments the size and power of the non-linear tests are analysed against a variety of nonstationary hypotheses. Aslo the ESTAR model is fitted to data from high inflation economies. The results provide further support for ESTAR specification.     

A concentration index for differentiated products: the case of religious competition

In the past, scholars have used a Herfindahl–Hirschman Index using denominational market shares to measure the competitiveness of religious markets. However, this approach ignores both the imperfect substitutability between denominations and the degree of competition within denominations. These two shortcomings make the current index a suspect measure of religious competition; it often falsely identifies which market micro-economists would generally consider the more competitive one. We develop a new religious competition index that incorporates intra-denominational competition and creates a ‘substitutability parameter’ to better specify the appropriate degree of inter-denominational competition. While the model developed in this article applies specifically to religious markets, our index of competition could be expanded to other economic markets where such a substitutability parameter is meaningful.     

Does self-regulation work? Experimental evidence of the reputational incentives of Self-Regulatory Organizations

Self-regulation (SR) is a common way of enforcing quality in markets (such as banking, financial services and several professions) and in a variety of public and private organizations. We provide experimental evidence of the reputational incentives of self-regulatory organizations (SROs) to publicly disclose versus cover-up fraud in an incomplete information environment. We find that observed behaviour is generally consistent with Bayesian equilibrium when subjects are informed about the relative likelihood of fraud detection by a ‘vigilant’ versus a ‘lax’ SRO type. In particular, a fraud disclosure equilibrium is supported when subjects are informed that the ‘vigilant’ SRO is more likely to detect fraud; otherwise, a cover-up equilibrium is supported. However, when subjects are not informed about the relative likelihood of fraud detection by the SRO types (as expected in real SR situations), no equilibrium is strongly supported. Our results suggest that in practice, the reputation-based incentives for effective SR may be inherently ambiguous and weak.     

Testing for normality in linear regression models using regression and scale equivariant estimators

In this paper we provide a general solution to the problem of controlling the probability of a type I error in normality tests for the disturbances in linear regressions when using robust-regression residuals. We show that many classes of well-known robust regression estimators belong to the class of regression and scale equivariant estimators. It is these equivariance properties that are used to reduce the nuisance parameter space under the null, from which we develop Monte Carlo and Maximized Monte Carlo tests for the null of disturbance normality. Finally, we illustrate in a simulation experiment the potential power gains from using robust-regression residuals in testing this null hypothesis.     

The Shape of ‘Rising Powers’ to Come? The Antinomies of Growth and Neoliberal Development in Turkey

ABSTRACT

The short-term GDP growth-based economic success of the BRICS has spawned a trend of grouping large emerging market economies under shared monikers. The proliferation of a wide array of labels – from MINTs to VISTAs – within political and financial circles has been accompanied by a growing scholarly interest in the study of these ‘emerging markets’ and future ‘rising powers’. This paper discusses the literature on Turkey’s ‘rising power’ status to problematise the conceptual and analytical parameters that shape these wider debates. Accordingly, I argue that the established parameters are wholly based in, and in turn reproduce, a neoliberal conception of development which prioritises a narrowly construed metric of economic progress based on GDP growth, while simultaneously ignoring the associated socio-economic and environmental costs. The paper interrogates the ways in which select macroeconomic indicators have been deployed to legitimise neoliberal reform in Turkey and utilises this case study to mount a methodological challenge to the relevant IR/IPE literatures that conceptualise ‘emerging markets’ and ‘rising powers’ from growth-oriented perspectives.     

Are securitised real estate markets efficient?: New international evidence based on an improved automatic Portmanteau test

We re-examine the efficiency of real estate markets based on the Escanciano-Lobato (2009) autocorrelation test which we improved by means of wild bootstrapping. Through Monte Carlo simulation, we find that the wild bootstrap-based autocorrelation test has very good performance even in small samples. We apply the improved test to examine the efficiency of 14 international securitized real estate markets—Australia, Canada, France, Germany, Hong Kong, Italy, Japan, Netherlands, Norway, Singapore, Sweden, Switzerland, United Kingdom and the United States. Our results show that only six of these markets—Australia, Hong Kong, Italy, Japan, Sweden and the United States are efficient while the rest are inefficient. We also find that the degree of efficiency or inefficiency of each of these markets varies considerably across time. These findings indicate that real estate markets are relatively less efficient as compared to stock and bond markets in general and may also offer an explanation as to why existing studies on real estate market efficiency have mixed results.