Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

Innovative performance effects of institutional quality: an empirical investigation from the Triad

ABSTRACT

Using data for a set of 823 R&D-intense manufacturing firms within the Triad and the Quality of Government (QoG) dataset over the 2002–2010 period, this article investigates the effects of institutional quality upon firms’ inefficiency, through the application of a Stochastic Frontier Approach (SFA). Empirical evidence, which is robust to alternative specifications of the technology employed and different lag structures in R&D activities, reveals that improvements in the quality of institutions significantly reduce firms’ inefficiency and suggests that, among the set of relevant institutional factors considered, a pre-eminent role is found for the rule of law.     

Determinants of banks’ Nerlovian economic efficiency: a DEA-bootstrap approach

ABSTRACT

This study aims to evaluate the Nerlovian economic efficiency of Taiwanese commercial banks and its determinants by assuming the presence of an imperfectly competitive market using a two-stage estimation procedure: Nerlovian economic inefficiency and its components’ price, technical and allocative efficiencies computed and decomposed in the first stage, which are regressed on the explanatory variables with a bootstrapped truncated approach in the second stage. The estimation results show that in the first-stage analysis, the Nerlovian economic inefficiency of banks is primarily due to allocative inefficiency, and indicate the existence of price inefficiency in Taiwan. In the second-stage analysis, the results confirm that both the years in operation of the bank and the ratio of credit loans are the main determinants of banking profit efficiency. In addition, this study not only shows that publicly owned banks contribute to better price efficiency but also proves that loan loss reserve to total assets is negatively associated with technical efficiency. The equity ratio exerts an insignificant favourable impact on allocative efficiency. The findings of this research are essential for bank managers in Taiwan.     

WTO,the Trips and Indian Pharmaceutical Industry

This paper analyzes the efficiency of firms in Indian Pharmaceutical Industry before and after the Trade Related Intellectual Property Rights (TRIPs) agreement. The analysis reveals that the efficiency of firms has increased after the Indian legislature has passed the bill for accepting patent applications in early 1999. We find that R&D intensity and market share influence efficiency of firms. The impact of import intensity enhances inefficiency. Our result indicates absence of ownership effects after the Indian legislature had passed the bill for accepting patent applications.

     

Dynamic productivity growth and its determinants in the Indonesian food and beverages industry

ABSTRACT

This research investigates dynamic productivity growth and its determinants in the Indonesian food and beverages industry decomposing dynamic productivity growth into the contributions of dynamic technical inefficiency change, dynamic technical change, and dynamic scale inefficiency change. The empirical application employs unbalanced panel data of 44 subsectors in the Indonesian food and beverages industry over 1990–2014. To estimate dynamic productivity growth, this research uses a Luenberger indicator accounting for the presence of adjustment costs. The results show that dynamic productivity growth exhibits a decreasing trend. Dynamic technical inefficiency change and dynamic scale inefficiency change contribute positively to dynamic productivity growth, while dynamic technical change contributes negatively. Dynamic productivity growth is affected by the change in industrial concentration, the growth rate of capital intensity, the growth rate of exports, the growth rate of foreign direct investment, and location.     

Are Commodity Prices Driven by Fundamentals?

Physical scarcity is hardly sufficient to explain commodity price swings. However, despite of clues of commodity market inefficiency in the last decade, excess volatility in commodity markets emerges only under strong assumptions. When we allow for non‐stationarity in commodity prices and time variation in commodity‐specific risk premia, evidence of commodity market inefficiency becomes significantly weaker. Moreover, there is some evidence of commodity‐specific regime changes in commodity markets, with negligible or even positive correlation between efficiency and market liquidity.     

Banking deregulation and allocative efficiency in Pakistan

This article examines the impact of deregulation policies on allocative efficiency of banks in Pakistan. It investigates whether deregulation has impacted the pattern of allocative efficiency of banks and explores which bank ownership segment has been more responsive. It uses data from 1991 to 2005 and explicitly models allocative inefficiency by using the translog shadow cost-share system. Empirical results show that overregulation and imperfect market structure hampers the ability of banks to make competitive decisions. We find evidence of allocative inefficiency leading to over-utilization of labour and deposits vis-à-vis operating cost. Empirical results for time-varying allocative efficiency show declining levels of allocative inefficiency for state-owned and private banks in post-reform period. Deregulation policies induce state-owned banks to decrease over-utilization of labour relative to deposits and operating cost while private banks succeed in using operating cost closer to optimal levels. Hence, policymakers have latitude to introduce more reforms without jeopardizing allocative efficiency.     

Reputation for quality and adverse selection

We analyze a dynamic market with a seller who can make a one-time investment that affects the returns of tradable assets. The potential buyers of the assets cannot observe the seller׳s investment prior to the trade or verify it in any way after the trade. The market faces two types of inefficiency: the ex-ante inefficiency, i.e., the seller׳s moral hazard problem, and the ex-post inefficiency, i.e., inefficient ex-post allocations due to the adverse selection problem. We analyze how the observability of information by future buyers, through which the seller builds a reputation, affects the two types of inefficiency as well as the interplay between them.     

Measurement of technical and allocative efficiencies using a CES cost frontier: a benchmarking study of Japanese transmission-distribution electricity

This paper estimates the technical and allocative inefficiencies of the transmission-distribution sector of Japanese electric utilities using a panel data during the 1981–1998 period. A stochastic production frontier of the CES form is jointly estimated with input demand equations. Taking advantage of the self-duality, we retrieve the cost frontier by which the impacts of technical and allocative inefficiencies on costs and input demands are measured. The estimated elasticity of substitution is significantly different from unity in favor of the CES specification over the Cobb–Douglas. The results show that observed costs are 9 to 48% higher than the efficient level; technical inefficiency raises costs by 1 to 28%, while allocative inefficiency does so by 8 to 30%. Although their impacts on costs are similar, technical inefficiency more fluctuates so the differences in the performance of utilities are mainly due to technical inefficiency. We also find a substantial over-utilization of capital for all utilities.

Optimal Organization of Surrogacy Contracts and Underinvestment

We develop a theoretical model of commercial gestational surrogacy in which a childless couple approaches a prospective surrogate, who is willing to gestate for the couple. We use a Principal-Agent framework with continuous effort to argue the following: in presence of limited liability of the surrogate, provision of optimal incentives (under non-contractible effort) is not feasible. Hence, a surrogate facing low outside option and having limited wealth is always found to put in sub-optimal care for the fetus. Put differently, the surrogate cannot be made a residual claimant (cannot be entitled with custody rights of the fetus) and therefore eliciting first best care is never optimal. But this result dramatically changes when the model is cast in discrete effort where inefficiency is likely only when the surrogate faces low outside option whereas we get multiple efficient contracts for higher outside option. Moreover, we see first-best efficient contracts may be implemented even without full transfer of custody rights to the surrogate.

     

Evaluating the joint efficiency of German trade forecasts - a nonparametric multivariate approach

ABSTRACT

I analyse the joint efficiency of export and import forecasts by leading economic research institutes for the years 1970 to 2017 for Germany in a multivariate setting. To this end, I compute, in a first step, multivariate random forests in order to model links between forecast errors and a forecaster’s information set, consisting of several trade and other macroeconomic predictor variables. I use the Mahalanobis distance as performance criterion and, in a second step, permutation tests to check whether the Mahalanobis distance between the predicted forecast errors for the trade forecasts and actual forecast errors is significantly smaller than under the null hypothesis of forecast efficiency. I find evidence for joint forecast inefficiency for two forecasters, however, for one forecaster I cannot reject joint forecast efficiency. For the other forecasters, joint forecast efficiency depends on the examined forecast horizon. I find evidence that real macroeconomic variables as opposed to trade variables are inefficiently included in the analysed trade forecasts. Finally, I compile a joint efficiency ranking of the forecasters.     

Efficiency and Equity in School Funding: A Case Study for Kansas

This study measures cost inefficiency of Kansas public school districts and applied both mathematical programming and stochastic frontier approach. The empirical study uses two-stage data envelopment analysis model and the cost inefficiency effects model proposed by Battese and Coelli (Empirical Economics 24:325–332, 1995) and applied to a panel data. The results found mean inefficiencies from these two models are very close. The results indicate that Kansas school districts, on average, exhibit cost inefficiency in their operations, however, there is a tendency for inefficiencies to decline over time. The study does not find any strong evidence for lower efficiency due to lower expenditure per-pupil. Instead, we found inconclusive evidences where lower efficiency for certain school districts could be assigned to unfavorable environmental cost conditions.

Time Varying Efficiency in Indian Sectors: An Event Study on Demonetization

The study examines the level of inefficiency present in three different sectors of India. More specifically, it applies different estimation techniques to measure the level of efficiency across the agriculture, service and manufacturing sectors by choosing twenty stocks from each of them. Since there are multiple industries belonging to a particular sector, capturing the intra-industry differential in their efficiencies is also crucial. Presence of long range dependence and the time-varying efficiency across the industries belonging to different sectors have been tested. Then, the impact of recent macroeconomic event of Demonetization on these industries have been explored using six event windows. The results confirm that the impact of this event on the industry returns are mostly negative and significant. However, the magnitude of impact varies across industries depending on the level of demand uncertainty and their cash dependence. Finally, the robustness of our findings has been checked using fixed effect panel regression which further validates the results of the event study.

     

Efficiency characteristics of a market for state contingent claims

This paper concludes that a market for state-contingent claims (UK horserace betting) displays evidence of pervasive but heterogeneous forms of inefficiency, in significant contrast to earlier investigations. Using hitherto unavailable data, comparison of notional returns implicit in parallel sets of bookmaker and parimutuel odds identifies inefficiency in terms of zones of distinct but contrasting forms of cross-;market returns differential. The inefficiency is rationalized in terms of both buyer and supplier behaviour; its durability is explained in terms of limited arbitrage opportunities.     

Non-constant Returns,Pareto Optimality and Competitive Equilibrium

Competitive equilibrium is not Pareto optimal if returns to scale are not constant, except in special and accidental circumstances. This result is demonstrated using a classical production model; it holds quite generally and independently of all other sources of Pareto inefficiency, such as externalities, imperfect information and quantity constraints. It establishes a general and ubiquitous basis for critique of the 'invisible hand' ideology, which still dominates both the textbooks and wider reaches of social thought.     

Regulatory and environmental effects on public transit efficiency: a mixed DEA-SFA approach

This paper assesses the impact of regulatory and environmental factors and statistical noise on the efficiency of public transit systems within a DEA-based framework. Using a panel of Italian companies, we implement a DEA-SFA mixed approach based on [H.O. Fried et al. (2002) Journal of Productivity Analysis, 17(1–2), 157–174] to decompose DEA inefficiency measures into three components: exogenous effects, managerial inefficiency and stochastic events. Besides providing evidence on the determinants of input-specific efficiency differentials across companies, the results point out that managerial skills play a minor role, and emphasize the relevance of regulatory policies aimed at replacing cost-plus subsidization with high-powered incentive contracts as well as improving environmental conditions of public transit networks.      

Inclusive institutions and economic growth: comparative perspective and policy implications for China

ABSTRACT

This paper examines the empirical relationship between the presence of inclusive institutions and the pattern of economic growth in a cross-country setting. We find evidence that the presence of inclusive institutions, indicated by political democracy, positively affects consumption share. In turn, the increase of the latter in the preceding year is associated with a significantly higher rate of total factor productivity (TFP) growth. The link from democracy to TFP growth via consumption is stronger for countries of higher levels of income. These findings suggest that institutional inclusiveness may have become increasingly important for economic growth when the level of income rises. We also provide preliminary evidence that consumption may have facilitated productivity growth via the channels of increasing innovations and reducing social conflicts. The findings shed lights on the structural transformations toward a more inclusive and sustainable model of growth in China today.

Abbreviations: FE: GMM: Generalized method of moments PWT: TFP: Total factor productivity     

Stochastic Cost Frontier and Inefficiency Estimates of Public and Private Universities: Does Government Matter?

Stochastic frontier analysis is used to estimate operating cost inefficiencies of public and private non-profit universities in the U.S. while also accounting for the possible effects arising from differences in the degree of government ownership. Using panel data for four academic years, 2005?C2009, inefficiencies are estimated under two model specifications. Results indicate that public universities are more cost efficient when environmental factors influence cost frontiers but private universities are the cost efficient institutions when those factors are determinants of inefficiency. Increased government funding does matter and increases private sector inefficiency but offers some efficiency improvements among public universities. Following the global financial crisis, there is evidence indicating a considerable slowdown in the inefficiency growth among both public and private universities.     

An Experimental Study of the Effect of Private Information in the Coase Theorem

We investigate, in an experimental setting, the effect of private information on the Coase theorem's predictions of efficiency and allocative neutrality. For a two-person bargaining game, we find significantly more inefficiency and allocative bias in the case of private information compared with the case of complete information. We also find substantial bargaining breakdown, which is not predicted by the Coase theorem. For the case of private information, we reject the Coase theorem in favor of the alternative of a generalized version of the Myerson—Satterthwaite theorem, which predicts inefficiency, allocative bias in the direction of the disagreement point, and some bargaining breakdown.     

An Empirical Analysis Of Industrial Disputes: Evidence From Indian States

This paper investigates the determinants of industrial disputes using data for fourteen major states of India over fifteen years from 1981 to 1996. We document that other than purely economic factors (e.g. wages, provident fund and other benefits, and factory size); socio-economic, institutional, and political factors have significant impact on industrial disputes. This supports the political economic view of the trade union behavior. We also provide the evidence that liberalization of Indian economy has enhanced industrial peace. Region specific factors as well as the ideology and characteristics of political parties in power of the state governments influence industrial disputes. Fixed capital per employee and overall growth rate of per capita state domestic products has negligible impact on industrial disputes.