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Evaluating the employment effects of START-UP NY using county-level unemployment rates Evaluating the employment effects of START-UP NY using county-level unemployment rates

Evaluating the employment effects of START-UP NY using county-level unemployment rates - PowerPoint Presentation

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Evaluating the employment effects of START-UP NY using county-level unemployment rates - PPT Presentation

Lynn Snarr Hal Snarr Dan Friesner Introduction Why New York State access to world financial markets international ports the St Lawrence and Hudson rivers Why not New York State ID: 659442

startup tax firms data tax startup data firms difference differences county unemployment program amp 2015 state 2016 2014 employment

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Slide1

Evaluating the employment effects of START-UP NY using county-level unemployment rates

Lynn

Snarr

Hal Snarr

Dan

Friesner

Slide2

Introduction

Why New

York

State?

access

to world financial

markets

international ports

the

St. Lawrence and Hudson

rivers

Why not New York State?

onerous tax: tax

revenue as a percent of

GSP

was 62.1

%

regulatory

environment: Bottom 10 in State

Business Tax Climate

IndexSlide3

STARTUP-NY is the State’s plan to become the next Silicon Valley or Austin

Enacted in 2014 to grow

GSP via firm

expansion,

enhance employment, tax revenue growthSupply-side economics or crony capitalism?Only high-tech firms choosing the tax free zones are eligible for it (Bruns 2013)firms with 100% of their operations in these zones get tax credits (STARTUP-NY)firms are exempted from paying any state or local taxes for ten years (STARTUP-NY)Tax credits are prorated for firms with under 100% of operations in tax free zones (STARTUP-NY)Employees can be exempted from paying income tax (STARTUP-NY)3-member board determines who’s in and where they play (Bruns 2013)ESD Corp (ties the Gov?) has rights to convert min-security jails & psychiatric hospitals (Bruns 2013)Members of the 10 regional councils are campaignpolitical donors? (Gormley 2016)Program has yet to be evaluated independently (Gormley 2016)To us, the supply-side tax cuts are more like tax subsidies passed out to friends.

IntroductionSlide4

Supply-side economics or crony capitalism

?

(continued)

Firms selling online

or over phones may find that the tax exemptions are of little valueParticipation further limited: certification expenses, licensing and maintenance fees, public transportation taxes, and sales and use taxesSTART-UP NY gives tax-free status approval to a participant’s employees (Chumley 2014)START-UP NY imposes limits on number of “tax-free” employees at a participant (Spector 2015)the majority of business involved in the program is “an eclectic mix… more mom-and-pop companies than… Fortune 500” (Craig and McKinley 2015):Simply Natural ClothingSonic BlocksAmericord Registry Almost $100 million spent on promoting the program since (Spector 2015)IntroductionSlide5

Government R&D evaluations use firm level data:

Daniel

J. Wilson (2009) “Beggar Thy Neighbor? …”

Review of Economics & Statistics.

Czarnitzki, Hanel & Rosa (2011) “Evaluating the impact of R&D tax credits on innovation” Reasearch & Policy Rubin, Marilyn and Donald J. Boyd (2013)60 years of data to analyze the impact of business tax incentives GSP growthNo evidence suggesting that tax incentives contribute to economic growthNo empirical literature on STARTUP-NY’s effect on county unemployment Use the Card and Krueger (1994, AER) difference-and-differences in PA-NJ employment methodologyIntroductionSlide6

STARTUP-NY program goals: increase

number

of

firms

employment opportunitiescommerceEconomic Schools of Thought EvaluationsThe Supply-sideZero-taxes on firmsZero-taxes on workersFactories are built after investments are madeNeoclassicalAustrianPost-KeynesianHypotheses: Ho: STARTUP-NY has no effect on county unemployment Ha: STARTUP-NY reduces county unemploymentIntroduction

AD

SRAS

Y

0

LRAS

P

0

Y

1Slide7

The DataSlide8

The DataSlide9

The DataSlide10

The DataSlide11

The DataSlide12

The DataSlide13

The DataSlide14

The DataSlide15

The DataSlide16

The DataSlide17

The Difference-in-Differences (2014-2016

)

NY

PA

DuNY = -1.3DuPA = -0.2

D

u

NY

-

D

u

PA

= -1.11Slide18

The Difference-in-Differences

2 control groups = non-STARTUP NY counties, PA and non-STARTUP NY counties

TREATMENT = the presence of a START-UP NY campus in a county (STARTUP) YEAR = is post treatment dummy (next year)X is set of county and state level controlsui

are the county effects

d

3

is the

difference in differences

estimator

Immediate-effect and delayed-effect modelsSlide19

The Difference-in-Differences

(2015-16) (2016-17)Slide20

The Difference-in-Differences

2015-16

OLS

FE RE

FE RESlide21

The Difference-in-Differences

2015-16

OLS

FE RE

FE RE2016-17

OLS

FE RE

FE RESlide22

The critics of START-UP NY are numerous.

Jeffrey

Mikkelson

(2014

): The supply-side economics that underlie the program are kickbacks for political donorsIan Murray (via Chumley 2014): STARTUP zones are like Reagan’s enterprise zones, which don't go far enough to foster a real free-market revivalOur results seemingly support: STARTUP is enhancing employment (delayed-effect)It is associated with a 0.5 percentage point reduction in unemployment (2016-17)Or 50,000 fewer unemployed workers in New York State (LF = 10m)Caution! … more research neededIs unemployment falling in NY (relative to PA) due to new firms being incubatedIs unemployment rising in PA (relative to NY) due to its firms being raidedWilson (2009)If program is shifting firm birth places, it is not adding to national output, but shifting where that output is producedThe Difference-in-Differences