Regulatory impact assessment: a survey of selected developing and emerging economies

This paper reports on a survey of regulatory impact assessment (RIA) in 16 developing and emerging economies. RIA was playing an increasing role in these countries: eight had introduced RIA in the past 10 years; one had recently redesigned its existing RIA system; another had a long-standing RIA system in place. However, RIA was at an early stage of development in the majority of cases and six countries did not practise RIA.     

Saving Rates, Trade, Technology, and Stochastic Dynamics

This paper develops a framework for analyzing the stochastic dynamics of small growing trading economies with CES sector technologies. The open neoclassical two-sector growth model with a diffusion process (uncertainty) for the aggregate saving/investment ratio is demonstrated with sample paths and long-run probability distributions of the overall factor endowment ratio. Stochastic endogenous growth and cycles require a combination of fundamental growth parameter values: saving rates, terms of trade, and sectorial substitution elasticities.     

T. Coleman Andrews: crusader for accountability in government

T. Coleman Andrews was an exceptional accountant whose career during the second quarter of this century spanned professional accounting practice, public service, military service and business management. This paper documents his contributions to accounting and administrative reform through the public-service positions he held in government at local, state and national levels. Earlier work by Flesher and Flesher (1989) focused on his contributions to operational auditing during his years at the General Accounting Office, and these contributions are reviewed here. In addition, this paper describes his later work with the Hoover Commission and as commissioner of the Internal Revenue Service.     

Aggregative games and best-reply potentials

This paper introduces quasi-aggregative games and establishes conditions under which such games admit a best-reply potential. This implies existence of a pure strategy Nash equilibrium without any convexity or quasi-concavity assumptions. It also implies convergence of best-reply dynamics under some additional assumptions. Most of the existing literature’s aggregation concepts are special cases of quasi-aggregative games, and many new situations are allowed for. An example is payoff functions that depend on own strategies as well as a linear combination of the mean and the variance of players’ strategies.     

Is it efficient to analyse efficiency rankings?

When production functions are estimated as frontier functions, the deviations from the frontier can be interpreted as individual inefficiency estimates. Unfortunately, it has recently been shown that efficiency differences across individuals are very often statistically insignificant. In this paper, we will analyse the consequences of the consideration of confidence statements for the reliability of efficiency rankings. The stochastic frontier and confidence intervals derived by Horrace and Schmidt are compared to the COLS approach and bootstrap confidence intervals. The membership function is proposed as a simple Monte-Carlo approximation for the probability for an individual to be the most efficient in the sample. First version received: May 1998/final version accepted: July 1999     

Survival of the best fit: Exposure to low-wage countries and the (uneven) growth of U.S. manufacturing plants

This paper examines the role of international trade in the reallocation of U.S. manufacturing within and across industries from 1977 to 1997. Motivated by the factor proportions framework, we introduce a new measure of industry exposure to international trade that focuses on where imports originate rather than on their overall level. We find that plant survival and growth are negatively associated with industry exposure to low-wage country imports. Within industries, we show that manufacturing activity is disproportionately reallocated towards capital-intensive plants. Finally, we provide the first evidence that firms adjust their product mix in response to trade pressures. Plants are more likely to switch industries when exposure to low-wage countries is high.     

Do tax subsidies for retirement saving affect total private saving? New evidence on middle-income workers*

We exploit exogenous variation from a pension reform in Denmark to estimate the effect of tax subsidies on total private saving. We present new evidence on individuals in the middle of the income distribution and show that a reduction in tax subsidies for retirement saving reduces total private saving. The reform changed the tax incentives for saving in the pension scheme that holds the highest tax advantage for middle-income workers in Denmark. We find that for each unit of reduced saving in this pension scheme, only 64 percent is substituted to other types of saving.     

A Unifying Framework and Comparison of Algorithms for Non-negative Matrix Factorisation

Non-negative matrix factorisation (NMF) is an increasingly popular unsupervised learning method. However, parameter estimation in the NMF model is a difficult high-dimensional optimisation problem. We consider algorithms of the alternating least squares type. Solutions to the least squares problem fall in two categories. The first category is iterative algorithms, which include algorithms such as the majorise–minimise (MM) algorithm, coordinate descent, gradient descent and the Févotte-Cemgil expectation–maximisation (FC-EM) algorithm. We introduce a new family of iterative updates based on a generalisation of the FC-EM algorithm. The coordinate descent, gradient descent and FC-EM algorithms are special cases of this new EM family of iterative procedures. Curiously, we show that the MM algorithm is never a member of our general EM algorithm. The second category is based on cone projection. We describe and prove a cone projection algorithm tailored to the non-negative least square problem. We compare the algorithms on a test case and on the problem of identifying mutational signatures in human cancer. We generally find that cone projection is an attractive choice. Furthermore, in the cancer application, we find that a mix-and-match strategy performs better than running each algorithm in isolation.