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Tirthatanmoy Das

Biographic Data

ID5867417
NAMETirthatanmoy Das
GIVEN NAMESTirthatanmoy
FAMILY NAMEDas
SIGNATUREDĀS T
AFFILIATIONSIndian Institute of Management Bangalore
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS2
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Causal Inference Using Antidotal Variables

    Tirthatanmoy Das, Solomon William Polachek•ARTICLE•Journal of Business and Economic…•2026

    This paper shows that incorporating what we call antidotal variables (AV) into a causal treatment effects analysis can with one cross-sectional regression identify the causal effect, the spillover effect, as well as possible biases from selectivity. We apply the AV technique to analyze leave taking arising from the California Paid Family Leave (CPFL) program. Our analysis yields between a 55% and 70% larger treatment effect than the traditional D…

  • Decision support system for policy-making

    Open Access•Aishvarya Aishvarya, Tirthatanmoy Das et al.•ARTICLE•Decision Support Systems•2024

  • Micro- and Macroeconomic Implications of Heterogeneity in the Production of Human Capital

    Solomon William Polachek, Tirthatanmoy Das et al.•ARTICLE•Journal of Political Economy•2015•Cited by: 2•References: 2

    We derive a tractable nonlinear earnings function that we estimate separately individual by individual using NLSY79 data. We obtain three ability measures, a rate of skill depreciation, a time discount rate, and a population-wide estimate of the human capital rental rate. We utilize these parameters to verify a number of heretofore untested theorems based on the life cycle model. We show how these human capital production function parameters rela…

  • Micro- and Macroeconomic Implications of Heterogeneity in the Production of Human Capital

    Solomon William Polachek, Tirthatanmoy Das et al.•ARTICLE•Journal of Political Economy•2015•Cited by: 2•References: 2

    We derive a tractable nonlinear earnings function that we estimate separately individual by individual using NLSY79 data. We obtain three ability measures, a rate of skill depreciation, a time discount rate, and a population-wide estimate of the human capital rental rate. We utilize these parameters to verify a number of heretofore untested theorems based on the life cycle model. We show how these human capital production function parameters rela…

  • Micro- and Macroeconomic Implications of Heterogeneity in the Production of Human Capital

    Solomon William Polachek, Tirthatanmoy Das et al.•ARTICLE•Journal of Political Economy•2015•Cited by: 2•References: 2

    We derive a tractable nonlinear earnings function that we estimate separately individual by individual using NLSY79 data. We obtain three ability measures, a rate of skill depreciation, a time discount rate, and a population-wide estimate of the human capital rental rate. We utilize these parameters to verify a number of heretofore untested theorems based on the life cycle model. We show how these human capital production function parameters rela…

  • Decision support system for policy-making

    Open Access•Aishvarya Aishvarya, Tirthatanmoy Das et al.•ARTICLE•Decision Support Systems•2024

  • Causal Inference Using Antidotal Variables

    Tirthatanmoy Das, Solomon William Polachek•ARTICLE•Journal of Business and Economic…•2026

    This paper shows that incorporating what we call antidotal variables (AV) into a causal treatment effects analysis can with one cross-sectional regression identify the causal effect, the spillover effect, as well as possible biases from selectivity. We apply the AV technique to analyze leave taking arising from the California Paid Family Leave (CPFL) program. Our analysis yields between a 55% and 70% larger treatment effect than the traditional D…

Econometrics (2 works) · Economics (2 works) · Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Bayesian Modeling and Causal Inference (1 work) · Biology (1 work) · Capital (architecture (1 work) · Capital formation (1 work) · Causal analysis (1 work) · Causal inference (1 work)

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