Swapnika Rachapalli Department of PhD Candidate in Economics University of Phone: +1 (647) 832-1807 150 St. George Street Email: [email protected] Toronto, ON, , M5S3G7 Website: swapnikarachapalli.com

Citizenship Indian Research Interests , Macroeconomics, Growth and Development

EDUCATION PhD, Economics 2014 - present , Canada B.Sc-M.Sc, Economics (summa cum laude) 2009 - 2014 Indian Institute of Kanpur (IITK), India

RESEARCH Job Market Paper: Learning between Buyers and Sellers along the Global Value Chain, 2020 Working Papers: Trade and Diffusion of Embodied : An Empirical Analysis (with Stephen Ayerst, Faisal Ibrahim and Gaelan MacKenzie), 2020 Misallocation in Indian Agriculture (with Marijn Bolhuis and Diego Restuccia), 2020 Local Labor Markets and Trade Policy Preferences, 2017 Work in Progress: Traded Embodied Technology, Firm Dynamics, and Economic Growth (with Stephen Ayerst, Faisal Ibrahim and Gaelan MacKenzie), 2020 Pre-Doctoral Work: Stigma of Sexual Violence and Women’s Decision to Work (with Tanika Chakraborty, Anirban Mukherjee and Sarani Saha), World Development, 2018 Evolutionarily Stable Conjectures and Social Optimality in Oligopolies (with Praveen Kulshreshtha), Theoretical Economics Letters, 2013

PROFESSIONAL EXPERIENCE Teaching Assistant, University of Toronto 2014 - 2020 ECO2031: Macroeconomic Theory II [Graduate] ECO2303: International Macroeconomics [Graduate] ECO364: International Trade Theory [Undergraduate] ECO365: International Monetary Economics [Undergraduate] ECO316: Applied Game Theory [Undergraduate] ECO100: Introductory Economics [Undergraduate] Research Assistant, University of Toronto 2014 - 2019 Daniel Trefler, Peter Morrow, Michel Serafinelli

1 SCHOLARSHIPS AND AWARDS University of Toronto, Department Of Economics Graduate Program Award 2020 Dorothy J. Powell Graduate Scholarship In International Economics 2017-19 University of Toronto Fellowship 2014-19 Mitacs Globalink Graduate Fellowship Award 2014-17 Harry Eastman Graduate Award (for the most outstanding second-year PhD paper 2016 in International Economics) General Proficiency Medal for the best academic performance in Economics 2014 Proficiency Prize for the best Masters thesis in Economics 2014 Mitacs Globalink Research Internship Award 2013 Students-Undergraduate Research and Graduate Excellence Award 2012

REFEREEING Canadian Journal of Economics

ACADEMIC SERVICE Graduate Advisory Committee, Faculty of Arts & Sciences, UofT 2017 - 2020 Graduate Committee, Department of Economics, UofT 2016 - 2017 Co-President, Graduate Economics Union, UofT 2016 - 2018

LANGUAGES English (fluent), Hindi (intermediate), Telugu (native), Kannada (native) Programming: Stata, MATLAB, R, Python

REFERENCES

Daniel Trefler Peter Morrow Rotman School of Management & Department of Economics Department of Economics 150 St. George Street 105 St. George Street Toronto, Toronto, Ontario M5S 3G7, Canada M5S 3E6, Canada [email protected] dtrefl[email protected] +1 (416) 978-4375 +1 (416) 946-7945

Pamela Medina-Quispe Rotman School of Management 105 St. George Street Toronto, Ontario M5S 3E6, Canada [email protected] +1 (416) 946-0725

2 ABSTRACTS

Learning between Buyers and Sellers along the Global Value Chain, 2020 (Job Market Paper)

This paper analyses learning between buyers and sellers as a new channel through which in- ternational trade affects product introduction across different production stages within firms. Using detailed firm level data from the Indian manufacturing census, I find that (i) 45% of multi-product firms produce at least one product pair that is connected in the Input-Output matrix, (ii) 30% of new products added by firms every year are either upstream or downstream to products previously produced by them, and (iii) exogenous increases in upstream export market access cause firms to add new products that are downstream to their previous production sets. I attribute this effect to firms learning from their buyers about downstream products during their transactions. To analyze the effects of trade policy on firm scope, I build a dynamic quantita- tive general equilibrium model of Global Value Chains with knowledge spillovers arising from buyer-seller linkages along the value chain. Potentially multi-product and multi-stage firms in the model invest in R&D to increase their product sets, and benefit from knowledge spillovers from domestic and foreign markets. Trade policy counterfactuals show that cross-stage product decreases as the economy liberalizes due to convergence in technology levels across countries in general equilibrium.

Trade and Diffusion of Embodied Technologies: An Empirical Analysis, 2020 with Stephen Ayerst, Faisal Ibrahim and Gaelan MacKenzie

We examine international knowledge spillovers through technology embodied in traded products. We use patent citation data to characterize the knowledge input-output (IO) structure of the economy and show that it is quantitatively different from the production input-output structure. We highlight that (i) key supplying sectors differ between the knowledge and production sides of the economy, (ii) knowledge IO is more connected than the production IO (iii) each sector sources production inputs and knowledge inputs from very different sectors. We use differences in the knowledge and production structures to separately identify the trade of production and knowledge inputs from the US. Higher levels of knowledge trade increase: (i) innovation related activities (R&D, researchers); (ii) innovative outputs (patents, citations); and (iii) output and employment. Further, we find that the results are stronger in richer countries, perhaps suggesting that these countries are better able to incorporate knowledge from US products.

Misallocation in Indian Agriculture, 2020 with Marijn Bolhuis and Diego Restuccia

We exploit substantial variation in land-market institutions across Indian states and detailed micro panel data to study distortions in land rental markets and their impact on agricultural productivity. We find evidence that states with more rental-market activity feature less misallo- cation and over time reallocate land more efficiently. We develop a model of land rentals across heterogeneous farms to estimate land-market distortions in each state and assess their quantita- tive effect on agricultural productivity. Rentals have substantial positive effects on agricultural productivity. If farmers operate with their owned land instead of the actual cultivated land, agricultural productivity would decline by 22 percent on average and by more than 30 percent in states with substantial rental-market activity; whereas an efficient reallocation of land would further increase agricultural productivity by 29 percent on average

3 Local Labor Markets and Trade Policy Preferences, 2017

Using a multi-sector Ricardian model of trade with input-output linkages, I estimate the welfare impact of the North American Free Trade Agreement that was implemented in 1994 on individual states within the United States. I find substantial variation in welfare across states and sectors in the country. The paper then explores politician voting behavior for this policy change prior to its implementation. I find no significant patterns between aggregate or sector-wise welfare and the probability of voting in favor of the bill. There is weak evidence that politicians have equity concerns, but find no effect of the median voter’s welfare on politicians’ voting behavior

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