Quantifying tax effects under policy foresight

Studies of tax effects make the conventional information assumption that changes in period-t taxes become known at t. Legislative lags, however, imply that news arrives before tax changes take place. Under policy foreknowledge, the conventional information structure is therefore misspecified. Simulations of a standard neoclassical growth model suggest that foresight of only one quarter can distort substantially the estimates of tax effects obtained under the no-foresight assumption. Also, it is crucial to model capital and labor taxes separately: anticipated changes in these two tax policies have opposite effects on consumption, investment, labor, and output before policy realization.     

The impact of news,oil prices,and global market developments on Russian financial markets1

This paper analyses the impact of news, oil prices, and international financial market developments on daily returns on Russian bond and stock markets. First, regarding returns, energy news affects returns, while news from the war in Chechnya is not significant. Market volatility does not appear to be sensitive to either type of news. Second, a significant effect of the growth in oil prices on Russian stock returns is detected. Third, the international influence on Russian financial markets depends upon the degree of financial liberalization. The higher the degree of financial liberalization, the stronger is the impact of US stock returns on Russian financial markets. In addition, banking reform and interest rate liberalization efforts seem to dictate the globalization of Russian stock markets, while it is the progress in liberalizing securities markets and non‐bank financial institutions that matters more for the globalization of Russian bond markets.     

Data Dependent Endogeneity Correction in Cointegrated Panels*

This paper examines the small‐sample performance of several information based criteria that can be employed to facilitate data dependent endogeneity correction in estimation of cointegrated panel regressions. The Monte Carlo evidence suggests that the criteria generally perform well but that there are differences of practical importance. In particular, the evidence suggests that, although the estimators of the cointegration vectors generally perform well, the criterion with best small‐sample performance also leads to the best performing estimator.     

Tax and subsidy incidence equivalence theories: experimental evidence from competitive markets

A basic tenet in microeconomics is tax incidence equivalence, which holds that the burden of a unit tax on buyers and sellers is independent of who actually pays the tax. By contrast, policymakers and the public often mistake statutory incidence for economic incidence. Using competitive laboratory markets, I test both tax incidence equivalence and an analogous theorem for subsidies. For sufficiently large markets, the results show strong support for both theories; there is little to no evidence, even in the short run, of the popular misperception that statutory incidence equals economic incidence. In smaller markets in which competitive forces are weaker and relative bargaining strengths may play a role, the evidence for tax incidence equivalence is weaker as minor price discrepancies may persist between markets.     

Nonlinear Correlograms and Partial Autocorrelograms*

This paper proposes neural network‐based measures of predictability in conditional mean, and then uses them to construct nonlinear analogues to autocorrelograms and partial autocorrelograms. In contrast to other measures of nonlinear dependence that rely on nonparametric estimation of densities or multivariate integration, our autocorrelograms are simple to calculate and appear to work well in relatively small samples.     

A matrix exponential spatial specification

We introduce the matrix exponential as a way of modelling spatially dependent data. The matrix exponential spatial specification (MESS) simplifies the log-likelihood allowing a closed form solution to the problem of maximum-likelihood estimation, and greatly simplifies the Bayesian estimation of the model. The MESS can produce estimates and inferences similar to those from conventional spatial autoregressive models, but has analytical, computational, and interpretive advantages. We present maximum likelihood and Bayesian approaches to the estimation of this spatial model specification along with methods of model comparisons over different explanatory variables and spatial specifications.     

The Effects of Cannabis Use on Wages of Prime‐age Males*

This paper uses a data set collected among inhabitants of Amsterdam, to study whether wages of prime‐age male workers are affected by cannabis use. The analysis shows that recent cannabis use has a negative effect on wages. The size of the wage effect depends on the age of onset. The earlier the start of cannabis use the larger the negative wage impact.     

Causes of Changes in Agricultural Employment in Slovenia: Evidence from Micro‐data

This paper analyses labour adjustment in and out of agriculture during transition to a market economy. A multinomial logit model is used to determine the factors that affect these processes. The results show that elderly, less educated and full‐time employees on a farm are more likely to continue with farming. Inflow of labour into agriculture is largely associated with the unemployment and retirement of farm household members. Age, education and investment in human capital are the key factors that improve the quality, mobility and flexibility of labour, which is crucial for efficient labour adjustment at the micro‐level and sector level. Better‐educated individuals are more likely to enter into employment in non‐agricultural, particularly service, activities.     

INTRODUCTION: MINING HISTORY IN CONTEXT

This article introduces the theme and the articles in this special issue of the Australian Economic History Review on mining history. It puts the subject of the articles in the context of current changes in the global mining industry and notes the themes that may be explored in further research.     

Large market games with demand uncertainty

We consider a market game with a continuum of consumers, where the measure of each type is stochastic. Nature selects the set of active consumers, who make bids and offers on ?−1 spot market trading posts. Existence of type-symmetric Nash equilibrium is proven. When facing price uncertainty, best responses are unique, and a Nash equilibrium to the sell-all game is typically not a Nash equilibrium to the original game. Under plausible circumstances, consumers strictly prefer to be on one side of the market.