international econometric journal
in Russian language
Creel, Michael. Some possible pitfalls of parametric inference
This essay re
Racine, Jeffrey. Nonparametric econometrics: a primer
This
article is a primer for those who wish to familiarize themselves with
nonparametric econometrics. Though the underlying theory for many of these
methods can be daunting for some practitioners, this article will demonstrate
how a range of nonparametric methods can in fact be deployed in a fairly
straightforward manner. Rather than aiming for encyclopedic coverage of the
field, we shall restrict attention to a set of touchstone topics while making
liberal use of examples for illustrative purposes. We will emphasize settings
in which the user may wish to model a dataset comprised of continuous,
discrete, or categorical data (nominal or ordinal), or any combination thereof.
We shall also consider recent developments in which some of the variables
involved may in fact be irrelevant, which alters the behavior of the estimators
and optimal bandwidths in a manner that deviates substantially from
conventional approaches.
Zinde-Walsh, Victoria. Consequences of lack of smoothness in
nonparametric estimation
Nonparametric
estimation is widely used in statistics and econometrics with many asymptotic
results relying on smoothness of the underlying distribution, however, there
are cases where such assumptions may not hold in practice. Lack of smoothness
may have undesirable consequences such as an incorrect choice of window width,
large estimation biases and incorrect inference. Optimal combinations of
estimators based on different kernel/bandwidth can achieve automatically the
best unknown rate of convergence. The combined estimator was successfully
applied in density estimation, estimation of average derivatives and for
smoothed maximum score in a binary choice model. In the extreme case when
density does not exist the estimator “estimates” a non-existent function;
nevertheless its limit process can be described in terms of generalized (in
terms of generalized functions) Gaussian processes. Inference about existence
of density and about its smoothness is not yet well developed; some preliminary
results are discussed.
Anatolyev, Stanislav. Making econometric reports
This
essay discusses the structure of an econometric report, format of tables and
diagrams, as well as precision of numerical results.
Prokhorov, Artem. Nonlinear dynamics and chaos theory in economics: a
historical perspective
This
essay focuses on the genesis of ideas of nonlinearity, stochastics, and
dynamics in economic thought as a series of intellectual advances that
connected the linear static (quasi-dynamic) determinism of the 18th–19th
centuries with the linear mechanistic systems with stochastic terms and the nonlinear
deterministic and stochastic dynamic models of the late 20th century,
specifically, the chaos theory. The emphasis is placed on the developments of
the second half of the 20th century. Technicalities are avoided.
Shilov, Andrey; Möller, Joachim. Wage curve: theory and empirics
We consider
the concept of a wage curve describing a negative relationship between
unemployment and wages. We suggest an explanation of the wage curve using a
number of theoretical labor market models, and present an empirical result of
its determination for