Involvement in the organized market of such forms of self employment in rural areas as personal subsidiary farms of citizens

Within the framework of a set of measures for the implementation of the national project on small and medium-sized enterprises and support for individual entrepreneurial initiative in accordance with the Decree of the President of the Russian Federation on national goals and strategic development tasks, the importance of involving citizens in independent production activities is reflected. In this regard, Federal Law No. 422-FL of 27 November 2018 (hereinafter referred to as the Law) initiated a tax experiment to establish a new special tax regime “Tax on Professional Income” (hereinafter referred to as the TPI). The purpose of the study is to determine the economic impact of the new tool on the involvement in economic turnover of such a form of self-employment in rural areas as personal subsidiary farms of citizens. Tasks: 1) using the deductive method of theoretical research to analyze the effect of the experiment on the application of the new special tax regime on the territory of Russia; 2) to consider in practical situations the options for applying the TPI for self-employed citizens; 3) systematize data on the calculation of naps in the form of a model that has theoretical and practical significance for the involvement of private subsidiary farms (hereinafter referred to as PSF) in an organized market. Research methods: deduction, axiomatic, analysis, synthesis, comparison, experiment, measurement. The scientific novelty and results is that according to the Law, a new target group is allocated – self-employed citizens who indicate services in different fields of activity. In agriculture, it is also necessary to direct the activities of PSF that sell their own products to an organized market. Results. In order to help improve financial literacy with the support of self-employed entrepreneurs, a comparative analysis of deductions for the calculation of professional income tax was conducted. Algorithms for calculating naps have been developed, which are the basis for considering practical situations. A model has been compiled that systematizes the procedure for applying the TPI for self-employed citizens.

A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure

In this paper, we provide an axiomatic foundation for the value-based version of the drift diffusion model (DDM) of Ratcliff, a successful model that describes two-alternative speeded decisions between consumer goods. Our axioms present a test for model misspecification and connect the externally observable properties of choice with an important neurophysiologic account of how choice is internally implemented. We then extend our axiomatic analysis to multialternative choice under time pressure. In a nutshell, we show that binary DDM comparisons of the alternatives, paired with Markovian exploration of the consideration set, approximately lead to softmaximization. This paper was accepted by Manel Baucells, decision analysis.

An Axiomatization of the Proportional Rule in Financial Networks

The most important rule to determine payments in real-life bankruptcy problems is the proportional rule. Many such bankruptcy problems are characterized by network aspects, and the values of the agents’ assets are endogenous as they depend on the extent to which claims on other agents can be collected. These network aspects make an axiomatic analysis challenging. This paper is the first to provide an axiomatization of the proportional rule in financial networks. Our main axiom is invariance to mitosis. The other axioms are claims boundedness, limited liability, priority of creditors, continuity, and impartiality. This paper was accepted by Manel Baucells, decision analysis.

Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms

We develop a powerful approach that makes modern SAT solving techniques available as a tool to support the axiomatic analysis of economic matching mechanisms. Our central result is a preservation theorem, establishing sufficient conditions under which the possibility of designing a matching mechanism meeting certain axiomatic requirements for a given number of agents carries over to all scenarios with strictly fewer agents. This allows us to obtain general results about matching by verifying claims for specific instances using a SAT solver. We use our approach to automatically derive elementary proofs for two new impossibility theorems: (i) a strong form of Roth's classical result regarding the impossibility of designing mechanisms that are both stable and strategyproof and (ii) a result establishing the impossibility of guaranteeing stability while also respecting a basic notion of cross-group fairness (so-called gender-indifference).

Perpetual Voting: Fairness in Long-Term Decision Making

In this paper we introduce a new voting formalism to support long-term collective decision making: perpetual voting rules. These are voting rules that take the history of previous decisions into account. Due to this additional information, perpetual voting rules may offer temporal fairness guarantees that cannot be achieved in singular decisions. In particular, such rules may enable minorities to have a fair (proportional) influence on the decision process and thus foster long-term participation of minorities. This paper explores the proposed voting rules via an axiomatic analysis as well as a quantitative evaluation by computer simulations. We identify two perpetual voting rules as particularly recommendable in long-term collective decision making.

Dynamic Random Utility

We provide an axiomatic analysis of dynamic random utility, characterizing the stochastic choice behavior of agents who solve dynamic decision problems by maximizing some stochastic process ( U t ) of utilities. We show first that even when ( U t ) is arbitrary, dynamic random utility imposes new testable across‐period restrictions on behavior, over and above period‐by‐period analogs of the static random utility axioms. An important feature of dynamic random utility is that behavior may appear history‐dependent, because period‐ t choices reveal information about U t , which may be serially correlated; however, our key new axioms highlight that the model entails specific limits on the form of history dependence that can arise. Second, we show that imposing natural Bayesian rationality axioms restricts the form of randomness that ( U t ) can display. By contrast, a specification of utility shocks that is widely used in empirical work violates these restrictions, leading to behavior that may display a negative option value and can produce biased parameter estimates. Finally, dynamic stochastic choice data allow us to characterize important special cases of random utility—in particular, learning and taste persistence—that on static domains are indistinguishable from the general model.