nep-des New Economics Papers
on Economic Design
Issue of 2023‒11‒20
six papers chosen by
Guillaume Haeringer, Baruch College and


  1. The importance of time-use surveys in informing gender policies: considerations for their design and implementation in the Caribbean By -
  2. Causal clustering: design of cluster experiments under network interference By Davide Viviano; Lihua Lei; Guido Imbens; Brian Karrer; Okke Schrijvers; Liang Shi
  3. "Japanese War Economy from Micro-perspectives:Design and Function of Economic Controls, and Innovation of Production Process" By Tetsuji Okazaki
  4. From Doubt to Devotion: Trials and Learning-Based Pricing By Tan Gan; Nicholas Wu
  5. Vacancy duration and wages By Ihsaan Bassier; Alan Manning; Barbara Petrongolo
  6. Investigating into the application of data analytics in Real Estate Investment Decisions among Lagos Valuers By Theresa Ukam

  1. By: -
    Abstract: Time-use surveys are data collection tools that quantitatively measure the time women and men allocate to paid and unpaid work activities in a typical day or week. These surveys provide information on the unpaid work activities that burden women more than men, such as unpaid care work. These unpaid work burdens hinder women’s participation in the labour force and contribute to the gender gap in labour markets. Hence, these surveys produce information crucial in designing social and economic policies aimed at reducing gender inequality in employment and labour market participation.
    Date: 2023–10–12
    URL: http://d.repec.org/n?u=RePEc:ecr:col095:68625&r=des
  2. By: Davide Viviano; Lihua Lei; Guido Imbens; Brian Karrer; Okke Schrijvers; Liang Shi
    Abstract: This paper studies the design of cluster experiments to estimate the global treatment effect in the presence of spillovers on a single network. We provide an econometric framework to choose the clustering that minimizes the worst-case mean-squared error of the estimated global treatment effect. We show that the optimal clustering can be approximated as the solution of a novel penalized min-cut optimization problem computed via off-the-shelf semi-definite programming algorithms. Our analysis also characterizes easy-to-check conditions to choose between a cluster or individual-level randomization. We illustrate the method's properties using unique network data from the universe of Facebook's users and existing network data from a field experiment.
    Date: 2023–10
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2310.14983&r=des
  3. By: Tetsuji Okazaki (Faculty of Economics, The University of Tokyo)
    Abstract: This paper summarizes the author’s recent three papers on the Japanese war economy from the late 1930s to the early 1940s. Under the war, Japan experienced a transition from a market economy to a planned and controlled economy. This transition was a process of trial and error, and various schemes of economic controls were applied. T his paper explains how these schemes worked, focusing on that for fund allocation restricting fund flow to the “nonessential and nonurgent†industries, that for promoting export by linking foreign exchange allocation with export performance, and that for mass production of merchant ships.
    Date: 2023–11
    URL: http://d.repec.org/n?u=RePEc:tky:jseres:2023cj308&r=des
  4. By: Tan Gan; Nicholas Wu
    Abstract: An informed seller designs a dynamic mechanism to sell an experience good. The seller has partial information about the product match, which affects the buyer's private consumption experience. We characterize equilibrium mechanisms of this dynamic informed principal problem. The belief gap between the informed seller and the uninformed buyer, coupled with the buyer's learning, gives rise to mechanisms that provide the skeptical buyer with limited access to the product and an option to upgrade if the buyer is swayed by a good experience. Depending on the seller's screening technology, this takes the form of free/discounted trials or tiered pricing, which are prevalent in digital markets. In contrast to static environments, having consumer data can reduce sellers' revenue in equilibrium, as they fine-tune the dynamic design with their data forecasting the buyer's learning process.
    Date: 2023–11
    URL: http://d.repec.org/n?u=RePEc:arx:papers:2311.00846&r=des
  5. By: Ihsaan Bassier; Alan Manning; Barbara Petrongolo
    Abstract: We estimate the elasticity of vacancy duration with respect to posted wages, using data from the near-universe of online job adverts in the United Kingdom. Our research design identifies duration elasticities by leveraging firm-level wage policies that are plausibly exogenous to hiring difficulties on specific job vacancies, and control for job and market-level fixed-effects. Wage policies are defined based on external information on pay settlements, or on sharp, internally-defined, firm-level changes. In our preferred specifications, we estimate duration elasticities in the range -3 to -5, which are substantially larger than the few existing estimates.
    Keywords: vacancy duration, wages, monopsony, employment
    Date: 2023–08–18
    URL: http://d.repec.org/n?u=RePEc:cep:cepdps:dp1943&r=des
  6. By: Theresa Ukam
    Abstract: The aim of this study is to investigate how Lagos state valuers leverage data to make investment decisions for their clients. The first objective of the research is to identify the appraisal process used by Valuers in their feasibility and viability assessments. A second objective is to identify the required data to facilitate and improve the valuation process. A third objective is to determine the type of data collected by Valuers for the preparation of feasibility and viability reports, Fourth, to identify the significant challenges faced by Valuers in obtaining the required data and how they overcome these challenges in the hope of giving the client the best possible service. Finally, to conduct a content analysis of feasibility and viability reports to ensure compliance with data usage and application. The cross-sectional study design will be used for the research. This design is suited for the study since it aims to determine prevalence of a phenomenon, situation, problem, attitude, or issue using a cross-section of the population in conjunction with the purposive sampling technique. The population and source of the structured questionnaire for this study are registered real estate professionals Estate Surveyors and Valuers in the Lagos metropolis. The data will be analyzed using tables of frequency and percentage occurrence of specific outcomes. The data for this study will come from a primary source. Previous findings have shown that data assists real estate professionals when it comes to investment decisions. It helps in analyzing and monitoring market trends, optimizing the buyer’s selection process, understanding patterns to anticipate future growth, digitalizing, and automating real estate evaluations (predicting property prices). It also helps in boosting profits and reducing overall development costs. Considering the results obtained from past studies, this study is expected to find that data usage assists Nigerian real estate industries in regard to investment decision-making.
    JEL: R3
    Date: 2023–01–01
    URL: http://d.repec.org/n?u=RePEc:afr:wpaper:afres2023-027&r=des

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